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raw positive vectors: 2900, transformed positive vectors: 174 | |
training samples: 139 | |
raw negative vectors: 4153, transformed negative vectors: 170 | |
training samples: 136 | |
Aggregate parameter(s) statistics: | |
positive field 0: | |
average: 0.098596, stddev: 0.0324172 | |
min: 0.0362827, max: 0.239384 | |
skewness: 0.747821, excess kurtosis: 1.97228 | |
negative field 0: | |
average: 0.0995722, stddev: 0.0367258 | |
min: 0.0110051, max: 0.195305 | |
skewness: -0.368479, excess kurtosis: -0.279586 | |
positive field 1: | |
average: 0.117054, stddev: 0.0424434 | |
min: 0.0341478, max: 0.26691 | |
skewness: 0.584528, excess kurtosis: 0.469056 | |
negative field 1: | |
average: 0.108284, stddev: 0.0514636 | |
min: 0.0124823, max: 0.365548 | |
skewness: 1.41218, excess kurtosis: 4.29224 | |
positive field 2: | |
average: 7.698, stddev: 8.38834 | |
min: 0, max: 37.0829 | |
skewness: 1.35253, excess kurtosis: 1.46099 | |
negative field 2: | |
average: 7.81131, stddev: 8.47429 | |
min: 0, max: 36.8831 | |
skewness: 1.37836, excess kurtosis: 1.43398 | |
positive field 3: | |
average: 0.134096, stddev: 0.238846 | |
min: 0, max: 1.63783 | |
skewness: 3.44742, excess kurtosis: 15.6636 | |
negative field 3: | |
average: 0.144845, stddev: 0.204288 | |
min: 0, max: 1.08697 | |
skewness: 1.87331, excess kurtosis: 3.65375 | |
positive field 4: | |
average: 0.116449, stddev: 0.0138717 | |
min: 0.092162, max: 0.166768 | |
skewness: 0.808405, excess kurtosis: 0.469437 | |
negative field 4: | |
average: 0.170398, stddev: 0.0450669 | |
min: 0.10431, max: 0.341119 | |
skewness: 1.32639, excess kurtosis: 2.21917 | |
positive field 5: | |
average: 0.00844437, stddev: 0.00541734 | |
min: 0.000970796, max: 0.0329316 | |
skewness: 1.39715, excess kurtosis: 2.96547 | |
negative field 5: | |
average: 0.0386705, stddev: 0.0356382 | |
min: 0.00315256, max: 0.269253 | |
skewness: 2.9903, excess kurtosis: 13.4159 | |
positive field 6: | |
average: -0.00186254, stddev: 0.0146604 | |
min: -0.0373259, max: 0.0354422 | |
skewness: 0.121342, excess kurtosis: -0.140172 | |
negative field 6: | |
average: 0.000996605, stddev: 0.0140936 | |
min: -0.0531769, max: 0.0489381 | |
skewness: -0.255289, excess kurtosis: 2.19065 | |
positive field 7: | |
average: 0.0412824, stddev: 0.0204136 | |
min: 0.00039859, max: 0.105214 | |
skewness: 0.364155, excess kurtosis: 0.154817 | |
negative field 7: | |
average: 0.0210449, stddev: 0.0189431 | |
min: 6.06289e-05, max: 0.0907799 | |
skewness: 1.19488, excess kurtosis: 1.30486 | |
positive field 8: | |
average: -0.00139647, stddev: 0.0215155 | |
min: -0.0633292, max: 0.0666608 | |
skewness: -0.054679, excess kurtosis: 1.13366 | |
negative field 8: | |
average: -0.000107592, stddev: 0.00916137 | |
min: -0.0326303, max: 0.0405964 | |
skewness: 0.324686, excess kurtosis: 3.44357 | |
positive field 9: | |
average: 0.0342943, stddev: 0.0274663 | |
min: 0, max: 0.140764 | |
skewness: 0.970678, excess kurtosis: 1.09773 | |
negative field 9: | |
average: 0.019595, stddev: 0.0140712 | |
min: 5.68666e-05, max: 0.0572676 | |
skewness: 0.581736, excess kurtosis: -0.38397 | |
positive field 10: | |
average: 13.5894, stddev: 35.866 | |
min: 0.414743, max: 184.038 | |
skewness: 3.66904, excess kurtosis: 12.3999 | |
negative field 10: | |
average: 18.5823, stddev: 32.477 | |
min: 1.05422, max: 169.883 | |
skewness: 3.4752, excess kurtosis: 11.7854 | |
positive field 11: | |
average: 10.8397, stddev: 34.6609 | |
min: 0.147713, max: 168.462 | |
skewness: 3.58207, excess kurtosis: 11.5383 | |
negative field 11: | |
average: 11.4667, stddev: 30.3303 | |
min: 0.403895, max: 165.528 | |
skewness: 3.56863, excess kurtosis: 11.7948 | |
positive field 12: | |
average: 0.0919442, stddev: 0.249658 | |
min: 1.07685e-06, max: 1.44605 | |
skewness: 3.41207, excess kurtosis: 12.3518 | |
negative field 12: | |
average: 0.850202, stddev: 0.629096 | |
min: 1.13843e-06, max: 3.42394 | |
skewness: 1.25016, excess kurtosis: 1.88016 | |
positive field 13: | |
average: 0, stddev: 0 | |
min: 0, max: 0 | |
skewness: -nan, excess kurtosis: -nan | |
negative field 13: | |
average: 0, stddev: 0 | |
min: 0, max: 0 | |
skewness: -nan, excess kurtosis: -nan | |
positive field 14: | |
average: 0.0496126, stddev: 0.126796 | |
min: 1.40017e-06, max: 0.646536 | |
skewness: 3.04404, excess kurtosis: 8.91969 | |
negative field 14: | |
average: 0.460286, stddev: 0.352379 | |
min: 1.05433e-06, max: 1.79452 | |
skewness: 1.3379, excess kurtosis: 1.87638 | |
gamma: 0.000140954 c1: 4768.51 c2: 44.95 cross validation accuracy: 1 0.415385 | |
gamma: 0.000938887 c1: 0.754801 c2: 0.000305781 cross validation accuracy: 1 0 | |
gamma: 0.0953907 c1: 42.1731 c2: 8.34226 cross validation accuracy: 0.9 0.869231 | |
gamma: 0.000429446 c1: 2449.93 c2: 0.000407684 cross validation accuracy: 1 0 | |
gamma: 0.00231035 c1: 303.938 c2: 3.12021e-05 cross validation accuracy: 1 0 | |
gamma: 0.0339741 c1: 142078 c2: 0.409576 cross validation accuracy: 1 0.6 | |
gamma: 0.000833691 c1: 32.2876 c2: 0.00519258 cross validation accuracy: 1 0 | |
gamma: 0.0316228 c1: 3.16228 c2: 3.16228 cross validation accuracy: 0.915385 0.923077 | |
gamma: 0.000158728 c1: 10.7681 c2: 0.169672 cross validation accuracy: 1 0 | |
gamma: 0.0235646 c1: 19.143 c2: 0.0103371 cross validation accuracy: 1 0 | |
gamma: 3.14846 c1: 188871 c2: 401.552 cross validation accuracy: 0.984615 0.0384615 | |
gamma: 4.25748e-05 c1: 4.45536e-05 c2: 853440 cross validation accuracy: 0 1 | |
gamma: 53.0307 c1: 3.81337e-05 c2: 898616 cross validation accuracy: 0 1 | |
gamma: 0.027935 c1: 7.45089e-05 c2: 13610.9 cross validation accuracy: 0 1 | |
gamma: 0.000783003 c1: 4.61069 c2: 10164 cross validation accuracy: 0.292308 1 | |
gamma: 100 c1: 17.8876 c2: 269698 cross validation accuracy: 1 0 | |
gamma: 14.3791 c1: 1.19804e-05 c2: 300.217 cross validation accuracy: 0 1 | |
gamma: 1.24829e-05 c1: 512.76 c2: 1951.32 cross validation accuracy: 0.784615 0.976923 | |
gamma: 0.000112302 c1: 3.34116e-05 c2: 432.082 cross validation accuracy: 0 1 | |
gamma: 16.195 c1: 0.026711 c2: 1161.59 cross validation accuracy: 0 1 | |
gamma: 37.7866 c1: 2.30239e-05 c2: 1.64283e-05 cross validation accuracy: 1 0 | |
gamma: 52.3951 c1: 1.74903e-05 c2: 3.03144 cross validation accuracy: 0 1 | |
gamma: 0.498276 c1: 0.0238491 c2: 51.1571 cross validation accuracy: 0 1 | |
gamma: 46.5417 c1: 679740 c2: 0.607727 cross validation accuracy: 1 0 | |
gamma: 0.00553373 c1: 402709 c2: 113.739 cross validation accuracy: 0.969231 0.823077 | |
gamma: 3.00322 c1: 544260 c2: 3.33137e-05 cross validation accuracy: 1 0 | |
gamma: 0.198579 c1: 205364 c2: 918997 cross validation accuracy: 0.869231 0.884615 | |
gamma: 0.0354688 c1: 11.9595 c2: 53.7531 cross validation accuracy: 0.9 0.907692 | |
gamma: 0.00371414 c1: 142966 c2: 939586 cross validation accuracy: 0.884615 0.892308 | |
gamma: 2.52797e-05 c1: 1.23367e-05 c2: 0.00600242 cross validation accuracy: 0 1 | |
gamma: 2.2387e-05 c1: 209.251 c2: 915399 cross validation accuracy: 0.376923 1 | |
gamma: 95.8146 c1: 3.73086 c2: 0.0122283 cross validation accuracy: 1 0 | |
gamma: 0.0137185 c1: 11.8277 c2: 3.494 cross validation accuracy: 0.953846 0.807692 | |
gamma: 0.045169 c1: 2.31339e-05 c2: 0.0167975 cross validation accuracy: 0 1 | |
gamma: 1.03635e-05 c1: 333960 c2: 1831.72 cross validation accuracy: 1 0.646154 | |
gamma: 0.0188623 c1: 1.77975 c2: 2.79026 cross validation accuracy: 0.907692 0.946154 | |
gamma: 0.0184486 c1: 825.742 c2: 937191 cross validation accuracy: 0.907692 0.846154 | |
gamma: 1.4556e-05 c1: 485490 c2: 0.906132 cross validation accuracy: 1 0 | |
gamma: 0.0633262 c1: 20.3182 c2: 191090 cross validation accuracy: 0.907692 0.823077 | |
gamma: 0.0015167 c1: 366044 c2: 2.00679 cross validation accuracy: 1 0.315385 | |
gamma: 0.000155271 c1: 7921.55 c2: 214772 cross validation accuracy: 0.853846 0.953846 | |
gamma: 0.0156685 c1: 1.7557 c2: 3.93778 cross validation accuracy: 0.884615 0.946154 | |
gamma: 1.01355e-05 c1: 184905 c2: 602968 cross validation accuracy: 0.884615 0.969231 | |
gamma: 0.181375 c1: 4904.75 c2: 675361 cross validation accuracy: 0.884615 0.884615 | |
gamma: 0.000118615 c1: 441894 c2: 16283.3 cross validation accuracy: 0.969231 0.838462 | |
gamma: 1.15964e-05 c1: 2.39032 c2: 862.585 cross validation accuracy: 0 1 | |
gamma: 0.0191786 c1: 311341 c2: 105868 cross validation accuracy: 0.907692 0.846154 | |
gamma: 0.00623884 c1: 2000.68 c2: 746.363 cross validation accuracy: 0.907692 0.869231 | |
gamma: 0.00183224 c1: 580311 c2: 1943.63 cross validation accuracy: 0.938462 0.838462 | |
gamma: 0.0030834 c1: 32099.2 c2: 16847.8 cross validation accuracy: 0.907692 0.876923 | |
Feature Ranking: | |
4 0.544536 | |
12 0.743916 | |
14 0.875778 | |
7 0.9401 | |
5 0.9914 | |
9 1 | |
13 1 | |
10 0.985402 | |
11 0.973967 | |
1 0.962437 | |
3 0.948908 | |
6 0.934659 | |
2 0.920438 | |
0 0.904087 | |
8 0.886816 | |
Aggregate parameter(s) statistics: | |
positive field 0: | |
average: 0.10152, stddev: 0.0330166 | |
min: 0.0331428, max: 0.202747 | |
skewness: 0.443523, excess kurtosis: 1.6279 | |
negative field 0: | |
average: 0.100013, stddev: 0.0377303 | |
min: 0.0280711, max: 0.165818 | |
skewness: -0.411604, excess kurtosis: -0.798027 | |
positive field 1: | |
average: 0.113986, stddev: 0.0307978 | |
min: 0.0430452, max: 0.174189 | |
skewness: 0.0392757, excess kurtosis: -0.309842 | |
negative field 1: | |
average: 0.0882002, stddev: 0.0476793 | |
min: 0.0127147, max: 0.25151 | |
skewness: 1.36052, excess kurtosis: 3.1262 | |
positive field 2: | |
average: 4.81555, stddev: 6.38589 | |
min: 0, max: 24.7816 | |
skewness: 1.74274, excess kurtosis: 2.48924 | |
negative field 2: | |
average: 7.66526, stddev: 8.71272 | |
min: 0, max: 31.5984 | |
skewness: 1.47439, excess kurtosis: 1.45323 | |
positive field 3: | |
average: 0.1158, stddev: 0.19716 | |
min: 0, max: 0.841607 | |
skewness: 2.47031, excess kurtosis: 6.34744 | |
negative field 3: | |
average: 0.122971, stddev: 0.197384 | |
min: 0, max: 0.638623 | |
skewness: 1.83562, excess kurtosis: 2.23973 | |
positive field 4: | |
average: 0.118566, stddev: 0.0148162 | |
min: 0.0954134, max: 0.16643 | |
skewness: 0.948387, excess kurtosis: 1.6911 | |
negative field 4: | |
average: 0.156295, stddev: 0.0342722 | |
min: 0.103083, max: 0.271273 | |
skewness: 1.1159, excess kurtosis: 2.33055 | |
positive field 5: | |
average: 0.00937745, stddev: 0.00851454 | |
min: 0.00182918, max: 0.0510687 | |
skewness: 3.70768, excess kurtosis: 17.2771 | |
negative field 5: | |
average: 0.0267579, stddev: 0.0167795 | |
min: 0.00707973, max: 0.0628506 | |
skewness: 0.79876, excess kurtosis: -0.54 | |
positive field 6: | |
average: -0.00254706, stddev: 0.0151633 | |
min: -0.0498842, max: 0.0378118 | |
skewness: -0.223858, excess kurtosis: 2.48533 | |
negative field 6: | |
average: 0.00028906, stddev: 0.0113272 | |
min: -0.0216227, max: 0.0332918 | |
skewness: 0.868883, excess kurtosis: 2.71681 | |
positive field 7: | |
average: 0.0395095, stddev: 0.0198066 | |
min: 0.000974652, max: 0.0800244 | |
skewness: 0.119578, excess kurtosis: -0.553178 | |
negative field 7: | |
average: 0.0186999, stddev: 0.0172305 | |
min: 0.000280017, max: 0.0708766 | |
skewness: 1.16728, excess kurtosis: 1.15814 | |
positive field 8: | |
average: 0.00667107, stddev: 0.024877 | |
min: -0.0372168, max: 0.0776165 | |
skewness: 0.630053, excess kurtosis: 0.558307 | |
negative field 8: | |
average: 0.000930322, stddev: 0.00931322 | |
min: -0.0158862, max: 0.0283233 | |
skewness: 1.09318, excess kurtosis: 2.26674 | |
positive field 9: | |
average: 0.0389041, stddev: 0.0263837 | |
min: 0.00066788, max: 0.110743 | |
skewness: 0.735519, excess kurtosis: 0.443542 | |
negative field 9: | |
average: 0.0179941, stddev: 0.0136807 | |
min: 0.00080592, max: 0.0498137 | |
skewness: 0.687195, excess kurtosis: -0.451046 | |
positive field 10: | |
average: 8.75071, stddev: 27.2042 | |
min: 0.632152, max: 164.72 | |
skewness: 5.87145, excess kurtosis: 34.6355 | |
negative field 10: | |
average: 17.9708, stddev: 38.9055 | |
min: 0.811939, max: 180.842 | |
skewness: 3.87743, excess kurtosis: 14.1866 | |
positive field 11: | |
average: 4.78932, stddev: 18.9944 | |
min: 0.148457, max: 113.842 | |
skewness: 5.89733, excess kurtosis: 34.8476 | |
negative field 11: | |
average: 10.4042, stddev: 30.9068 | |
min: 0.644773, max: 151.227 | |
skewness: 4.08448, excess kurtosis: 16.1956 | |
positive field 12: | |
average: 0.13865, stddev: 0.387064 | |
min: 8.39558e-07, max: 1.61178 | |
skewness: 3.0953, excess kurtosis: 8.96933 | |
negative field 12: | |
average: 0.711403, stddev: 0.483938 | |
min: 0.0647819, max: 2.22146 | |
skewness: 1.24212, excess kurtosis: 1.73632 | |
positive field 13: | |
average: 0, stddev: 0 | |
min: 0, max: 0 | |
skewness: -nan, excess kurtosis: -nan | |
negative field 13: | |
average: 0, stddev: 0 | |
min: 0, max: 0 | |
skewness: -nan, excess kurtosis: -nan | |
positive field 14: | |
average: 0.0833992, stddev: 0.256034 | |
min: 9.28167e-07, max: 1.27797 | |
skewness: 3.78625, excess kurtosis: 15.1075 | |
negative field 14: | |
average: 0.456069, stddev: 0.350282 | |
min: 0.0679429, max: 1.6951 | |
skewness: 1.74458, excess kurtosis: 3.63695 | |
positive test set statistics: | |
average: 0.862563, stddev: 0.260394 | |
min: 0.00268251, max: 0.994004 | |
skewness: -2.62609, excess kurtosis: 6.1156 | |
negative test set statistics: | |
average: 0.152369, stddev: 0.21789 | |
min: 9.65761e-05, max: 0.705094 | |
skewness: 1.27144, excess kurtosis: 0.287904 |
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