A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 82 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 **************************************************************** * * 82 points. Chose rsnum 56 (thus using 26 points) * Of 810 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1235 * base 36.0923 0.024041 28.6167 44.0198 13.2677 * experiment 102.857 0.00148606 187.137 0.998231 33.5328 * est rs center 65.6998 0.023232 165.982 28.0891 23.9472 * est rs spread 34.7296 0.013037 115.57 12.9893 12.7705 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 83 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 **************************************************************** * * 83 points. Chose rsnum 57 (thus using 26 points) * Of 841 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1189 * base 36.0923 0.024041 28.6167 44.0198 13.2677 * experiment 19.1361 0.0292482 341.633 28.0874 14.5929 * est rs center 65.1571 0.0208458 194.891 26.6624 24.1486 * est rs spread 34.3901 0.0138173 114.056 12.7174 14.2726 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 84 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 **************************************************************** * * 84 points. Chose rsnum 60 (thus using 24 points) * Of 899 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1112 * base 63.7496 0.0150747 0 23.1501 0 * experiment 58.7246 0.015641 3.81943 23.0329 1.23684 * est rs center 77.7346 0.0262236 163.853 26.5604 22.9821 * est rs spread 31.8524 0.0135358 102.805 13.4722 13.7191 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 85 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 **************************************************************** * * 85 points. Chose rsnum 61 (thus using 24 points) * Of 709 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1410 * base 40.2778 0.0438429 207.199 39.2191 35.8396 * experiment 71.5033 0.00215793 263.678 43.0188 24.1303 * est rs center 65.4724 0.0264964 191.987 28.9115 24.6811 * est rs spread 34.3284 0.0154363 102.033 13.8896 13.6729 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 86 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 **************************************************************** * * 86 points. Chose rsnum 60 (thus using 26 points) * Of 756 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1323 * base 36.0923 0.024041 28.6167 44.0198 13.2677 * experiment 117.963 0.00801428 302.923 15.7082 9.31177 * est rs center 68.8784 0.027114 180.49 24.4573 23.4389 * est rs spread 34.9041 0.0138823 100.422 13.187 14.9978 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 87 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 **************************************************************** * * 87 points. Chose rsnum 63 (thus using 24 points) * Of 1000 random points, 90 were inside rstat * Estimated rstat fractional volume is 0.0900 * base 40.2778 0.0438429 207.199 39.2191 35.8396 * experiment 63.2807 0.0291936 220.813 48.9572 43.3271 * est rs center 69.931 0.0242955 124.83 28.7897 27.2963 * est rs spread 31.9918 0.0142965 78.7708 13.9304 14.8784 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 88 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 **************************************************************** * * 88 points. Chose rsnum 62 (thus using 26 points) * Of 885 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1130 * base 36.0923 0.024041 28.6167 44.0198 13.2677 * experiment 76.2472 0.0337231 310.451 36.4893 13.0799 * est rs center 58.7218 0.0222247 168.655 28.9383 30.0914 * est rs spread 34.3569 0.0142547 100.2 12.8601 13.8457 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 89 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 **************************************************************** * * 89 points. Chose rsnum 63 (thus using 26 points) * Of 942 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1062 * base 36.0923 0.024041 28.6167 44.0198 13.2677 * experiment 41.7752 0.0194241 120.377 18.789 40.13 * est rs center 62.6251 0.0236948 162.401 29.3615 24.976 * est rs spread 31.9744 0.0142423 93.2217 12.4389 14.5176 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 90 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 **************************************************************** * * 90 points. Chose rsnum 56 (thus using 34 points) * Of 699 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1431 * base 8.80275 0.048618 222.513 49.741 26.8239 * experiment 13.102 0.0490104 219.626 49.0035 27.2767 * est rs center 54.1151 0.0252474 225.249 30.2957 29.6953 * est rs spread 28.4696 0.0145478 121.506 14.3253 14.2302 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 91 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 **************************************************************** * * 91 points. Chose rsnum 67 (thus using 24 points) * Of 888 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1126 * base 2.68339 0.0499246 33.3934 41.4596 17.5017 * experiment 6.41716 0.0376064 307.517 23.0787 34.4076 * est rs center 54.9441 0.0278666 164.163 28.2687 27.3143 * est rs spread 31.3884 0.0140432 90.5001 12.9424 13.8555 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 92 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 **************************************************************** * * 92 points. Chose rsnum 68 (thus using 24 points) * Of 1000 random points, 97 were inside rstat * Estimated rstat fractional volume is 0.0970 * base 2.68339 0.0499246 33.3934 41.4596 17.5017 * experiment 20.4466 0.0152368 87.5027 42.4397 1.42064 * est rs center 61.6432 0.0245765 151.515 27.428 29.2302 * est rs spread 32.0839 0.0139487 95.708 11.9129 14.1217 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 93 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 20.4466 0.0152 87.5027 42.4397 1.4206 -> 5.8200 36.7520 0.9615 **************************************************************** * * 93 points. Chose rsnum 69 (thus using 24 points) * Of 993 random points, 100 were inside rstat * Estimated rstat fractional volume is 0.1007 * base 22.9441 0.0150848 150.847 47.4045 46.9497 * experiment 86.099 0.0390881 210.722 12.7422 26.2723 * est rs center 57.4165 0.0260315 153.497 29.1989 25.7988 * est rs spread 28.3411 0.0134538 92.0484 12.8102 14.2755 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 94 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 20.4466 0.0152 87.5027 42.4397 1.4206 -> 5.8200 36.7520 0.9615 86.0990 0.0391 210.7218 12.7422 26.2723 -> 16.7900 284.6530 0.2731 **************************************************************** * * 94 points. Chose rsnum 70 (thus using 24 points) * Of 1000 random points, 87 were inside rstat * Estimated rstat fractional volume is 0.0870 * base 13.102 0.0490104 219.626 49.0035 27.2767 * experiment 93.6762 0.0399436 63.5828 42.419 28.672 * est rs center 63.7198 0.0245344 137.041 29.2402 28.2745 * est rs spread 31.908 0.014522 75.7978 12.3594 14.6668 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 95 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 10 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 20.4466 0.0152 87.5027 42.4397 1.4206 -> 5.8200 36.7520 0.9615 86.0990 0.0391 210.7218 12.7422 26.2723 -> 16.7900 284.6530 0.2731 93.6762 0.0399 63.5828 42.4190 28.6720 -> 15.6700 271.4590 0.2540 **************************************************************** * * 95 points. Chose rsnum 71 (thus using 24 points) * Of 1000 random points, 79 were inside rstat * Estimated rstat fractional volume is 0.0790 * base 20.4153 0.000851285 400.082 40.2895 49.7831 * experiment 24.6441 0.0161508 387.17 45.0925 0.43307 * est rs center 54.2471 0.0248855 261.916 34.4516 25.7431 * est rs spread 26.0153 0.0133526 92.1598 11.1975 14.1099 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 96 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 12 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 20.4466 0.0152 87.5027 42.4397 1.4206 -> 5.8200 36.7520 0.9615 86.0990 0.0391 210.7218 12.7422 26.2723 -> 16.7900 284.6530 0.2731 93.6762 0.0399 63.5828 42.4190 28.6720 -> 15.6700 271.4590 0.2540 24.6441 0.0162 387.1699 45.0925 0.4331 -> 6.3600 43.9840 10.9368 **************************************************************** * * 96 points. Chose rsnum 72 (thus using 24 points) * Of 1000 random points, 73 were inside rstat * Estimated rstat fractional volume is 0.0730 * base 12.3661 0.0333357 429.258 44.8525 30.4163 * experiment 46.466 0.0229471 134.617 12.6795 16.0281 * est rs center 52.8981 0.0227094 263.546 31.6233 24.6749 * est rs spread 27.0358 0.0137958 88.6512 11.546 13.4078 * *************************************************************** A dataset with the following dimensions: Number of inputs = 5 Number of outputs = 3 Number of datapoints = 97 Input 0 called attribute0 range: 0 to 500 Input 1 called attribute1 range: 0 to 0.05 Input 2 called attribute2 range: 0 to 500 Input 3 called attribute3 range: 0 to 50 Input 4 called attribute4 range: 0 to 50 Output 0 called output0 range: 0 to 140 Output 1 called output1 range: 0 to 20000 Output 2 called output2 range: 0 to 12 0.7497 0.0496 25.2170 40.9412 18.2179 -> 4.4300 21.1550 0.3560 0.4461 0.0108 275.3895 8.3906 39.3133 -> 53.5400 4691.0480 0.6876 0.1030 0.0019 370.1989 45.2026 24.3257 -> 6.1300 38.0750 0.3778 0.8356 0.0134 330.1953 44.5958 3.9085 -> 4.8300 28.4010 0.9430 0.4862 0.0273 318.7539 37.0519 45.3043 -> 1.9000 4.5460 0.3358 0.1192 0.0433 402.3121 39.9459 6.7779 -> 4.8700 27.0050 2.8091 0.9038 0.0211 303.7363 9.1276 5.7150 -> 48.6300 4159.3730 0.8546 485.6415 0.0490 496.7058 2.7024 1.0941 -> 128.0100 17622.5140 2.5961 488.7057 0.0013 485.1408 24.1032 0.6903 -> 138.9400 20000.3160 2.4819 479.8031 0.0432 78.5793 3.1938 47.5677 -> 112.9900 14951.7290 0.2124 486.3440 0.0490 497.6351 49.9233 48.5378 -> 114.0700 15173.3770 0.2546 490.7176 0.0001 472.4545 0.4238 48.9369 -> 108.8700 13900.1590 0.1557 360.2585 0.0033 132.2265 39.9088 43.3067 -> 106.4000 14063.9080 0.4118 2.6834 0.0499 33.3934 41.4596 17.5017 -> 5.0100 27.1210 0.3418 431.6469 0.0468 91.8965 48.9242 13.0637 -> 122.8700 17377.0530 0.9499 469.7367 0.0409 128.9291 45.5851 41.5965 -> 114.8800 14984.1880 0.4150 250.9250 0.0155 387.9618 46.0399 29.6641 -> 74.1600 5909.9680 0.4740 270.2843 0.0040 278.7438 38.2914 18.2941 -> 83.4900 7319.5370 0.4723 12.3661 0.0333 429.2577 44.8525 30.4163 -> 4.2400 19.7340 0.3219 187.2907 0.0467 324.0620 29.0641 45.7664 -> 43.8000 2128.0260 0.1742 205.5283 0.0290 93.2498 9.9399 25.4480 -> 52.6300 3067.0010 0.4620 11.6579 0.0050 263.7245 28.6066 21.2095 -> 9.7000 268.4460 0.4669 216.5653 0.0008 239.2267 1.4409 0.8228 -> 44.7100 2522.1390 0.8490 318.6386 0.0235 432.7076 8.4768 28.0922 -> 80.9900 8732.0530 0.8069 8.8027 0.0486 222.5132 49.7410 26.8239 -> 5.3800 31.6700 0.3808 59.9171 0.0086 32.4240 41.0213 43.0527 -> 6.6600 46.1700 0.2553 14.9873 0.0013 2.5353 20.1291 49.9832 -> 21.1700 1197.6490 0.5578 97.6268 0.0495 12.4199 45.7597 1.4038 -> 15.3500 286.3670 2.2273 6.3160 0.0014 11.8405 22.5352 0.0875 -> 19.0600 946.2500 2.6287 30.7671 0.0007 488.3138 48.8295 48.8949 -> 3.8300 15.0870 0.4349 332.4974 0.0087 34.6001 28.6384 2.8501 -> 109.0100 12237.9470 3.1648 106.4760 0.0003 379.8068 30.9274 48.7545 -> 17.0000 316.9120 0.2104 106.9345 0.0288 473.8452 36.2997 1.0736 -> 20.2700 439.7870 8.2072 83.6413 0.0497 10.2905 48.8328 48.7126 -> 11.2500 135.4010 0.1841 278.9244 0.0492 21.4029 27.4476 30.6371 -> 71.5900 6035.6290 0.6622 99.1448 0.0005 194.3840 34.2262 1.1465 -> 13.0000 222.7860 3.9683 131.5179 0.0268 121.4208 33.3586 12.6292 -> 23.8100 655.2090 0.8689 14.2859 0.0011 406.2576 40.2197 49.4914 -> 1.7300 3.4590 0.4448 20.4153 0.0009 400.0816 40.2895 49.7831 -> 2.3800 6.1500 0.3258 169.2370 0.0020 386.7846 41.5635 11.0219 -> 32.3300 1348.0810 1.0069 185.5255 0.0134 203.8446 25.4395 43.8789 -> 43.2800 2051.1980 0.1434 40.2778 0.0438 207.1993 39.2191 35.8396 -> 3.0900 10.5090 0.3504 194.0079 0.0039 478.7530 16.7347 10.4440 -> 41.7700 1949.1910 0.6350 87.5604 0.0199 358.8971 11.0901 39.9021 -> 13.3300 194.1950 0.2320 29.1728 0.0444 251.8044 30.4183 14.6103 -> 6.9900 132.9550 0.5338 36.0923 0.0240 28.6167 44.0198 13.2677 -> 5.6800 35.6980 0.3621 31.6865 0.0494 494.6444 34.9264 48.6345 -> 2.3500 21.1850 0.3666 16.4238 0.0473 86.2046 17.4901 5.8183 -> 28.6000 1817.6700 0.6449 48.6254 0.0155 370.9429 32.9044 27.0818 -> 5.3200 31.2500 0.3279 85.3921 0.0185 481.1057 6.4764 28.8815 -> 13.5700 199.9450 0.1977 127.7856 0.0423 426.1631 3.2320 35.6316 -> 24.4400 659.0300 0.1636 47.8308 0.0014 10.4270 48.5687 1.0824 -> 7.0900 53.0490 5.6043 11.0241 0.0161 485.8790 47.8841 16.5860 -> 7.0000 49.4280 0.3720 11.0756 0.0004 494.3894 20.2001 0.0570 -> 22.6400 1263.2520 10.8826 51.8554 0.0201 478.7023 24.7320 29.4373 -> 5.4200 32.3500 0.2961 14.3250 0.0492 10.5882 48.6592 48.9145 -> 3.6400 13.8360 0.2825 13.0385 0.0076 449.4482 28.1163 40.7119 -> 9.0900 346.3310 0.4960 16.1202 0.0116 1.4424 32.5817 36.6587 -> 4.7100 98.6710 0.4023 150.6018 0.0318 178.0713 5.6417 42.2396 -> 32.0000 1128.1760 0.1547 105.7763 0.0482 93.1994 22.7498 48.3610 -> 16.9100 316.3910 0.2384 120.1691 0.0450 334.7147 1.6729 3.9021 -> 24.3100 606.9690 1.0951 86.1319 0.0406 461.9738 16.2802 42.3199 -> 12.3500 163.6870 0.1839 91.0302 0.0215 5.0796 1.3176 9.5600 -> 13.2100 200.0750 0.6776 17.4903 0.0462 359.2234 11.8161 19.2893 -> 28.2900 1909.8650 0.6028 72.1640 0.0317 449.8871 5.4905 27.2227 -> 9.8400 107.9440 0.3085 24.6845 0.0404 94.4046 26.0142 42.1971 -> 12.1200 484.8940 0.4007 136.5286 0.0429 411.1211 20.3348 1.9147 -> 20.4200 497.2240 1.1312 55.8012 0.0342 415.4093 47.7896 14.8041 -> 7.8600 67.2680 0.3276 2.7213 0.0132 449.2891 17.6376 11.9375 -> 28.4100 1808.6950 0.6265 22.9441 0.0151 150.8466 47.4045 46.9497 -> 3.3500 11.6490 0.2939 37.9837 0.0487 296.0916 49.6755 49.2180 -> 3.2900 12.4690 0.4076 112.1589 0.0038 146.7180 39.3623 21.6106 -> 20.9700 487.5010 0.4260 126.6857 0.0315 262.7040 15.6551 13.2068 -> 25.5600 672.4800 0.4443 67.3999 0.0257 161.5724 32.6422 47.9112 -> 7.5800 64.1800 0.4153 16.5879 0.0060 69.7151 24.1410 20.7322 -> 14.1600 636.7360 0.5366 147.2000 0.0214 43.8163 22.5526 30.3859 -> 30.7300 1040.4130 0.3803 49.6018 0.0452 15.8685 22.9799 36.7400 -> 5.0100 25.8170 0.3291 117.1093 0.0190 44.9508 1.6656 48.4581 -> 20.7200 478.1500 0.3030 14.9720 0.0279 213.2555 48.6846 23.5592 -> 5.9400 35.6100 0.3530 64.0909 0.0197 245.0702 26.6118 1.3969 -> 6.9500 67.8490 2.2854 38.2617 0.0240 79.2218 42.6110 33.5870 -> 4.0500 17.3070 0.3321 139.1149 0.0005 31.9117 9.5094 9.9015 -> 28.4000 845.5120 2.4582 102.8569 0.0015 187.1370 0.9982 33.5328 -> 17.5300 338.4490 0.2715 19.1361 0.0292 341.6333 28.0874 14.5929 -> 9.8800 258.4000 0.5146 58.7246 0.0156 3.8194 23.0329 1.2368 -> 11.5500 363.7930 1.4787 71.5033 0.0022 263.6776 43.0188 24.1303 -> 12.7900 164.4490 0.3030 117.9626 0.0080 302.9231 15.7082 9.3118 -> 23.6700 568.8710 0.6495 63.2807 0.0292 220.8132 48.9572 43.3271 -> 7.5800 64.1440 0.5811 76.2472 0.0337 310.4515 36.4893 13.0799 -> 14.0000 197.1640 0.4990 41.7752 0.0194 120.3772 18.7890 40.1300 -> 3.7400 14.7620 0.3237 13.1020 0.0490 219.6261 49.0035 27.2767 -> 6.4700 45.6130 0.2997 6.4172 0.0376 307.5170 23.0787 34.4076 -> 13.9900 634.5570 0.6532 20.4466 0.0152 87.5027 42.4397 1.4206 -> 5.8200 36.7520 0.9615 86.0990 0.0391 210.7218 12.7422 26.2723 -> 16.7900 284.6530 0.2731 93.6762 0.0399 63.5828 42.4190 28.6720 -> 15.6700 271.4590 0.2540 24.6441 0.0162 387.1699 45.0925 0.4331 -> 6.3600 43.9840 10.9368 46.4660 0.0229 134.6170 12.6795 16.0281 -> 6.9400 52.8220 0.3865 **************************************************************** * * 97 points. Chose rsnum 71 (thus using 26 points) * Of 1000 random points, 65 were inside rstat * Estimated rstat fractional volume is 0.0650 * base 40.2778 0.0438429 207.199 39.2191 35.8396 * experiment 67.9245 0.0424918 6.24064 1.19319 43.1112 * est rs center 59.5745 0.0244404 127.486 28.6946 25.4914 * est rs spread 28.9476 0.0141005 75.5451 13.0041 15.0961 * ***************************************************************