OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

20597 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7838, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9262, kappa: 0.8926, kb_relative_information_score: 725.2061, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9271, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9291, kappa: 0.8976, kb_relative_information_score: 329.871, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9319, predictive_accuracy: 0.9298, prior_entropy: 1.7898, recall: 0.9298, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9797, kappa: 0.9706, kb_relative_information_score: 660.1221, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9369, kappa: 0.9081, kb_relative_information_score: 50.9569, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 1.7898, recall: 0.937, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 81.1488, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9679, kappa: 0.9532, kb_relative_information_score: 753.9405, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9797, kappa: 0.9705, kb_relative_information_score: 696.0509, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9463, kappa: 0.922, kb_relative_information_score: 729.4854, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9468, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.148, root_relative_squared_error: 0.3571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 2.3313, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 704.89, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 739.7234, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 0.9631, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 744.4235, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9451, kappa: 0.9202, kb_relative_information_score: 722.0234, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.946, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9559, kappa: 0.9358, kb_relative_information_score: 694.016, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9465, kappa: 0.922, kb_relative_information_score: 708.2948, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 705.6406, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9539, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9452, kappa: 0.9203, kb_relative_information_score: 719.0974, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9655, kappa: 0.9497, kb_relative_information_score: 700.4722, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 740.1689, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.9044, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 707.5093, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9102, kappa: 0.8696, kb_relative_information_score: 707.8051, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9116, predictive_accuracy: 0.9108, prior_entropy: 1.7898, recall: 0.9108, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 19.309, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 1.0739, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 711.3144, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9667, kappa: 0.9517, kb_relative_information_score: 790.7685, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9677, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.974, kb_relative_information_score: 756.089, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 758.2466, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9757, kb_relative_information_score: 660.0445, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 722.831, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9515, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 439.8246, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 714.8934, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9451, kappa: 0.9202, kb_relative_information_score: 694.6722, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.946, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.8858, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.3712, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9738, kappa: 0.9619, kb_relative_information_score: 726.4613, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 1.7898, recall: 0.9738, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.2938, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 709.4968, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.3278, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 702.7853, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 771.1916, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 679.5837, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.9285, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.6273, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 811.3533, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3453, kb_relative_information_score: 1.6096, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9559, kappa: 0.9358, kb_relative_information_score: 736.2693, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9565, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9441, kappa: 0.9186, kb_relative_information_score: 85.41, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 285.457, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9581, kappa: 0.9392, kb_relative_information_score: 699.2075, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9588, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.6161, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.922, kb_relative_information_score: 763.0949, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9468, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, kb_relative_information_score: 2.2779, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, kappa: 0.1838, kb_relative_information_score: 115.452, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.4697, prior_entropy: 1.7898, recall: 0.4697, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9321, kappa: 0.9013, kb_relative_information_score: 85.2937, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9322, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9359, kappa: 0.9067, kb_relative_information_score: 764.4907, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9362, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 685.3443, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.975, kappa: 0.9637, kb_relative_information_score: 764.278, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9755, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7488, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 747.6464, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.6799, kappa: 0.5645, kb_relative_information_score: 282.3736, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7644, predictive_accuracy: 0.7122, prior_entropy: 1.7898, recall: 0.7122, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 731.7153, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 735.3392, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9576, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 747.3441, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9731, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 696.9251, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9634, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9594, kappa: 0.941, kb_relative_information_score: 732.9004, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9603, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9332, kappa: 0.9031, kb_relative_information_score: 742.8554, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9339, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 819.511, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9451, kappa: 0.9203, kb_relative_information_score: 85.4482, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 1.7898, recall: 0.9453, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9381, kappa: 0.9101, kb_relative_information_score: 85.8877, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9381, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.2752, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 1.7249, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9678, kappa: 0.9533, kb_relative_information_score: 804.5149, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 724.1198, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9528, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9272, kappa: 0.8943, kb_relative_information_score: 729.7572, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9276, predictive_accuracy: 0.9275, prior_entropy: 1.7898, recall: 0.9275, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 747.6487, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9332, kappa: 0.9028, kb_relative_information_score: 705.7813, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9338, predictive_accuracy: 0.9334, prior_entropy: 1.7898, recall: 0.9334, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 281.2908, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 439.9208, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 694.0681, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.6113, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 731.5211, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.2202, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 812.5473, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.1649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 711.908, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9482, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 695.9346, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9694, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.148, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9714, kappa: 0.9585, kb_relative_information_score: 770.0985, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 742.5405, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9777, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 2.2004, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 727.954, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9729, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9558, kappa: 0.9359, kb_relative_information_score: 767.9447, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.3164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.3419, kappa: 0.1237, kb_relative_information_score: 133.8247, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6304, predictive_accuracy: 0.4388, prior_entropy: 1.7898, recall: 0.4388, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9643, kappa: 0.9483, kb_relative_information_score: 789.4965, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9654, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9392, kappa: 0.9116, kb_relative_information_score: 719.8197, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9655, kappa: 0.9498, kb_relative_information_score: 738.3346, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.4389, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 686.0862, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3566,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs