OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20595 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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20595 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9594, kappa: 0.941, kb_relative_information_score: 724.3807, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 742.2334, mean_absolute_error: 0.0563, 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: 0.1637, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 721.6971, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9808, kappa: 0.9723, kb_relative_information_score: 710.6686, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 707.1224, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9487, kappa: 0.9254, kb_relative_information_score: 715.551, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9495, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 723.2993, mean_absolute_error: 0.0715, 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: 0.208, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9608, kappa: 0.9431, kb_relative_information_score: 785.0249, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9381, kappa: 0.9099, kb_relative_information_score: 718.4648, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.3396, 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: 0.9972, f_measure: 0.9512, kappa: 0.929, kb_relative_information_score: 770.3172, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9427, kappa: 0.9167, kb_relative_information_score: 708.5681, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9437, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 742.8666, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9541, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9703, kappa: 0.9567, kb_relative_information_score: 749.539, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9708, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 738.4419, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9516, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9228, kappa: 0.8877, kb_relative_information_score: 20.4054, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9239, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9343, kappa: 0.9048, kb_relative_information_score: 738.3717, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 1.7898, recall: 0.9346, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9571, kappa: 0.9375, kb_relative_information_score: 716.6208, mean_absolute_error: 0.0702, 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: 0.2042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0737, mean_absolute_error: 0.0122, 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: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 770.3589, mean_absolute_error: 0.0396, 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: 0.1151, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 688.8508, mean_absolute_error: 0.0923, 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: 0.2683, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 735.1664, mean_absolute_error: 0.0586, 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: 0.1703, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 766.4443, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9732, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9416, kappa: 0.9152, kb_relative_information_score: 747.8368, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9422, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9678, kappa: 0.9532, kb_relative_information_score: 730.1637, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9683, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 743.9706, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.3106, 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: 0.0502, root_relative_squared_error: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9703, kappa: 0.9568, kb_relative_information_score: 750.8351, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9712, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 765.5429, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9766, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9162, kappa: 0.8783, kb_relative_information_score: 705.1675, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9173, predictive_accuracy: 0.9168, prior_entropy: 1.7898, recall: 0.9168, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9498, kappa: 0.9271, kb_relative_information_score: 722.6151, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9508, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.3562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9832, kappa: 0.9757, kb_relative_information_score: 618.8776, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 691.7381, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9763, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 594.7189, mean_absolute_error: 0.1108, 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: 0.3221, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9346, kappa: 0.9049, kb_relative_information_score: 762.0795, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 1.7898, recall: 0.9346, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 822.4067, mean_absolute_error: 0.0109, 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: 0.0318, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 763.8803, mean_absolute_error: 0.044, 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: 0.1279, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 684.2664, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 438.0975, mean_absolute_error: 0.1816, 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: 0.528, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 717.1039, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 708.8548, mean_absolute_error: 0.0804, 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: 0.2337, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.969, kappa: 0.9549, kb_relative_information_score: 724.5394, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9696, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 67.1194, mean_absolute_error: 0.3517, 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: 1.0227, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9583, kappa: 0.9394, kb_relative_information_score: 735.2915, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9586, predictive_accuracy: 0.9584, prior_entropy: 1.7898, recall: 0.9584, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4584, kb_relative_information_score: 1.3921, 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: 0.9993, 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: 0.4889, kb_relative_information_score: 2.1176, 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: 0.9986, 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: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 820.2086, mean_absolute_error: 0.013, 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: 0.0378, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9512, kappa: 0.9289, kb_relative_information_score: 728.9245, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9517, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9382, kappa: 0.9102, kb_relative_information_score: 768.3166, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.7898, recall: 0.9382, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 697.6446, mean_absolute_error: 0.0878, 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: 0.2555, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.8591, 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: 0.0357, 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: 0.9988, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 685.8021, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, kappa: 0.0557, kb_relative_information_score: 99.9106, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3971, prior_entropy: 1.7898, recall: 0.3971, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 823.1694, mean_absolute_error: 0.0107, 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: 0.0312, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 740.6787, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 718.497, mean_absolute_error: 0.0762, 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: 0.2217, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 717.7655, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 759.3059, mean_absolute_error: 0.0469, 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: 0.1364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 1.3396, 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: 0.9919, f_measure: 0.9357, kappa: 0.9065, kb_relative_information_score: 748.1101, mean_absolute_error: 0.0467, 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: 0.1359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.0172, mean_absolute_error: 0.0122, 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: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, kb_relative_information_score: 2.6477, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9983, 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: 0.4924, kb_relative_information_score: 1.1873, 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: 0.9993, 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: 819.606, mean_absolute_error: 0.013, 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: 0.0379, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 681.3646, mean_absolute_error: 0.0964, 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: 0.2802, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 822.4794, mean_absolute_error: 0.0115, 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: 0.0335, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9406, kappa: 0.9136, kb_relative_information_score: 86.6717, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9408, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 746.913, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9447, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9704, kappa: 0.957, kb_relative_information_score: 784.5656, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9714, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.95, kappa: 0.9272, kb_relative_information_score: 714.1389, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9504, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9821, kappa: 0.974, kb_relative_information_score: 816.006, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2271,
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: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 822.8159, mean_absolute_error: 0.0112, 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: 0.0325, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9655, kappa: 0.9497, kb_relative_information_score: 692.0473, mean_absolute_error: 0.0871, 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: 0.2532, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9619, kappa: 0.9445, kb_relative_information_score: 724.0077, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 691.4717, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 594.7738, mean_absolute_error: 0.1107, 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: 0.322, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 819.6007, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 67.1551, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 709.6569, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9447, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.2139, 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: 0.9959, f_measure: 0.9521, kappa: 0.9306, kb_relative_information_score: 708.906, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9532, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 678.1685, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 734.9519, mean_absolute_error: 0.0632, 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: 0.1839, 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: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 686.5652, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.2734, 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: 0.9995, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 751.4782, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 741.0137, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.313,
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: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8576, 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: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 67.5753, mean_absolute_error: 0.3515, 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: 1.0221, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9667, kappa: 0.9514, kb_relative_information_score: 671.9176, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.6304, 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: 0.0362, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9382, kappa: 0.9102, kb_relative_information_score: 86.0695, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9385, 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: 0.9996, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 675.2045, mean_absolute_error: 0.1003, 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: 0.2916, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9595, kappa: 0.9412, kb_relative_information_score: 792.0876, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.7059, mean_absolute_error: 0.0128, 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: 0.0373, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 821.1413, mean_absolute_error: 0.0122, 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: 0.0354, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9726, kappa: 0.9601, kb_relative_information_score: 728.774, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 818.1138, mean_absolute_error: 0.0138, 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: 0.0403, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 727.9159, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 711.06, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3355,

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

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

OpenML APIs