OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9853, kappa: 0.8529, kb_relative_information_score: 3284.6785, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9851, predictive_accuracy: 0.9855, prior_entropy: 0.3037, recall: 0.9855, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.4701, scimark_benchmark: 930.1844, usercpu_time_millis: 7760, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 6800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9833, kappa: 0.8317, kb_relative_information_score: 992.3578, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.118, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -13161.0366, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.6937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.934, kappa: 0.2041, kb_relative_information_score: 710.3937, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9476, predictive_accuracy: 0.9516, prior_entropy: 0.3037, recall: 0.9516, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9194, kappa: -0.0016, kb_relative_information_score: 1084.7463, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9452, prior_entropy: 0.3037, recall: 0.9452, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.234, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8521, kappa: 0.2318, kb_relative_information_score: -14970.2862, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.942, predictive_accuracy: 0.8004, prior_entropy: 0.3037, recall: 0.8004, relative_absolute_error: 2.0764, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -13161.0366, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.6937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.934, kappa: 0.2041, kb_relative_information_score: 710.3937, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9476, predictive_accuracy: 0.9516, prior_entropy: 0.3037, recall: 0.9516, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9194, kappa: -0.0016, kb_relative_information_score: 1084.7463, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9452, prior_entropy: 0.3037, recall: 0.9452, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.234, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8521, kappa: 0.2318, kb_relative_information_score: -14970.2862, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.942, predictive_accuracy: 0.8004, prior_entropy: 0.3037, recall: 0.8004, relative_absolute_error: 2.0764, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9767, kappa: 0.7654, kb_relative_information_score: 2651.2679, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9763, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -14.441, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.9765, kappa: 0.7665, kb_relative_information_score: 3245.2982, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9763, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.986, kappa: 0.8621, kb_relative_information_score: 3561.0263, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.986, predictive_accuracy: 0.9862, prior_entropy: 0.3037, recall: 0.9862, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -13161.0366, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.6937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9793, kappa: 0.8, kb_relative_information_score: 3217.6658, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9819, kappa: 0.817, kb_relative_information_score: 3558.5853, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -14.441, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9231, kappa: 0.0484, kb_relative_information_score: -52.8416, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9383, predictive_accuracy: 0.9471, prior_entropy: 0.3037, recall: 0.9471, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9554, kappa: 0.4985, kb_relative_information_score: 592.0755, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9593, predictive_accuracy: 0.9626, prior_entropy: 0.3037, recall: 0.9626, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.9198, kb_relative_information_score: -1112.8826, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9654, kappa: 0.6426, kb_relative_information_score: 1534.76, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9457, kappa: 0.3798, kb_relative_information_score: -629.5358, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9481, predictive_accuracy: 0.9556, prior_entropy: 0.3037, recall: 0.9556, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9701, kappa: 0.6751, kb_relative_information_score: 1869.5592, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 1127.1101, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3037, recall: 0.9459, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.9453, kappa: 0.4286, kb_relative_information_score: 1338.9289, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9428, predictive_accuracy: 0.949, prior_entropy: 0.3037, recall: 0.949, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.9238, kappa: 0.0565, kb_relative_information_score: 1254.2014, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.9198, kb_relative_information_score: -43731.8245, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 4.5618, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.4702, root_relative_squared_error: 2.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9822, kappa: 0.8273, kb_relative_information_score: 3598.3296, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.7065, kappa: 0.0375, kb_relative_information_score: -22582.4762, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9115, predictive_accuracy: 0.5989, prior_entropy: 0.3037, recall: 0.5989, relative_absolute_error: 3.9241, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.6333, root_relative_squared_error: 2.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9848, kappa: 0.8476, kb_relative_information_score: 3607.2584, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.9638, kappa: 0.6093, kb_relative_information_score: 1491.2732, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9644, kappa: 0.616, kb_relative_information_score: 1476.5717, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: 2.7461, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9816, kappa: 0.8179, kb_relative_information_score: 3302.7003, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9812, kappa: 0.8113, kb_relative_information_score: 2734.8488, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9724, kappa: 0.7201, kb_relative_information_score: 2067.7446, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9831, kappa: 0.8307, kb_relative_information_score: 3080.2195, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9825, kappa: 0.8253, kb_relative_information_score: 3255.9098, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9839, kappa: 0.8385, kb_relative_information_score: 3279.6652, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.9198, kb_relative_information_score: -43448.8135, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 4.5089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.465, root_relative_squared_error: 2.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9198, kb_relative_information_score: -836.0719, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9572, kappa: 0.5099, kb_relative_information_score: 838.4485, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9797, kappa: 0.7954, kb_relative_information_score: 3111.8472, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9798, kappa: 0.7926, kb_relative_information_score: 2718.0901, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9799, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9206, kappa: 0.3356, kb_relative_information_score: -12191.0769, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.935, predictive_accuracy: 0.9099, prior_entropy: 0.3037, recall: 0.9099, relative_absolute_error: 1.5929, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9815, kappa: 0.8191, kb_relative_information_score: 3554.5532, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9744, kappa: 0.7273, kb_relative_information_score: 2870.9141, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9842, kappa: 0.8397, kb_relative_information_score: 3077.3849, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9773, kappa: 0.7722, kb_relative_information_score: 3028.8097, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.977, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9823, kappa: 0.8196, kb_relative_information_score: 2985.1914, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.9453, kappa: 0.4286, kb_relative_information_score: 1334.1911, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9428, predictive_accuracy: 0.949, prior_entropy: 0.3037, recall: 0.949, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9859, kappa: 0.86, kb_relative_information_score: 3840.9932, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9858, predictive_accuracy: 0.9862, prior_entropy: 0.3037, recall: 0.9862, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9809, kappa: 0.8117, kb_relative_information_score: 3391.7432, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -2038.3917, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.9283, kappa: 0.1519, kb_relative_information_score: 707.3545, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9244, predictive_accuracy: 0.945, prior_entropy: 0.3037, recall: 0.945, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2293, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9753, kappa: 0.7539, kb_relative_information_score: 3160.5707, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9813, kappa: 0.8158, kb_relative_information_score: 3363.7659, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.9562, kappa: 0.5249, kb_relative_information_score: 1249.8552, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.956, predictive_accuracy: 0.9611, prior_entropy: 0.3037, recall: 0.9611, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9858, kappa: 0.8587, kb_relative_information_score: 3253.8012, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3037, recall: 0.9859, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9814, kappa: 0.8161, kb_relative_information_score: 3275.1066, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9812, kappa: 0.813, kb_relative_information_score: 3193.2827, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9794, kappa: 0.7957, kb_relative_information_score: 3071.6232, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.9198, kb_relative_information_score: -862.7675, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9758, kappa: 0.7589, kb_relative_information_score: 2811.9352, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9745, kappa: 0.7408, kb_relative_information_score: 2703.8424, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9725, kappa: 0.719, kb_relative_information_score: 2495.702, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.9197, kappa: -0.0004, kb_relative_information_score: 93.5191, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9459, prior_entropy: 0.3037, recall: 0.9459, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2304, root_relative_squared_error: 1.0201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.9198, kb_relative_information_score: -3666.6939, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.9238, kappa: 0.0565, kb_relative_information_score: 1254.2014, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9818, kappa: 0.8212, kb_relative_information_score: 3428.1547, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9685, kappa: 0.6766, kb_relative_information_score: 2202.9069, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9685, kappa: 0.6766, kb_relative_information_score: 2202.9069, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9685, kappa: 0.6766, kb_relative_information_score: 2202.9069, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9684, kappa: 0.6763, kb_relative_information_score: 2186.3772, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.949, kappa: 0.4605, kb_relative_information_score: 845.864, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9469, predictive_accuracy: 0.9533, prior_entropy: 0.3037, recall: 0.9533, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9848, kappa: 0.8476, kb_relative_information_score: 3254.6944, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.9763, kappa: 0.7648, kb_relative_information_score: 3231.177, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 2943.358, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -14.441, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9633, kappa: 0.5941, kb_relative_information_score: 1110.9066, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9827, kappa: 0.8256, kb_relative_information_score: 3102.2255, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9198, kb_relative_information_score: 493.7895, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9506, kappa: 0.4268, kb_relative_information_score: 655.2992, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9603, predictive_accuracy: 0.9607, prior_entropy: 0.3037, recall: 0.9607, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9583, kappa: 0.5517, kb_relative_information_score: 1036.4806, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.958, predictive_accuracy: 0.9626, prior_entropy: 0.3037, recall: 0.9626, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9635, kappa: 0.6041, kb_relative_information_score: 1404.1463, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.985, kappa: 0.8506, kb_relative_information_score: 3265.4401, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9832, kappa: 0.8299, kb_relative_information_score: 3085.85, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4793,

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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From your own software

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

OpenML APIs