Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9794, kappa: 0.8139, kb_relative_information_score: 1778.1366, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9842, kappa: 0.8588, kb_relative_information_score: 2618.8243, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9813, kappa: 0.8331, kb_relative_information_score: 2312.6163, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.4803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9806, kappa: 0.8261, kb_relative_information_score: 2069.9285, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9853, kappa: 0.868, kb_relative_information_score: 2580.5388, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, kb_relative_information_score: -192.2444, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, kb_relative_information_score: -199.4778, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, kb_relative_information_score: -128.0862, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9904, kappa: 0.916, kb_relative_information_score: 3149.0563, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9873, kappa: 0.8868, kb_relative_information_score: 2768.3658, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9872, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9807, kappa: 0.8259, kb_relative_information_score: 2247.78, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.117, root_relative_squared_error: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.984, kappa: 0.8564, kb_relative_information_score: 2438.9074, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.104, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9803, kappa: 0.824, kb_relative_information_score: 2144.2039, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9802, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9835, kappa: 0.8537, kb_relative_information_score: 2614.9442, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9834, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9794, kappa: 0.8155, kb_relative_information_score: 2082.6879, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.986, kappa: 0.8734, kb_relative_information_score: 2572.7558, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9833, kappa: 0.8499, kb_relative_information_score: 2380.7302, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9833, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9838, kappa: 0.8558, kb_relative_information_score: 2612.9249, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9898, kappa: 0.9102, kb_relative_information_score: 2942.6563, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9855, kappa: 0.8707, kb_relative_information_score: 2694.5708, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9859, kappa: 0.875, kb_relative_information_score: 2759.7747, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9859, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9847, kappa: 0.8631, kb_relative_information_score: 2652.1564, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9779, kappa: 0.8011, kb_relative_information_score: 1722.052, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9816, kappa: 0.8352, kb_relative_information_score: 2196.2742, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9489, kappa: 0.483, kb_relative_information_score: 835.6586, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.957, predictive_accuracy: 0.9581, prior_entropy: 0.3333, recall: 0.9581, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9875, kappa: 0.888, kb_relative_information_score: 2757.5643, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9875, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9825, kappa: 0.8448, kb_relative_information_score: 2521.1428, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9853, kappa: 0.8686, kb_relative_information_score: 2541.7244, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.99, kappa: 0.9113, kb_relative_information_score: 2933.5731, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9822, kappa: 0.8427, kb_relative_information_score: 2442.8744, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9821, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9821, kappa: 0.8414, kb_relative_information_score: 2449.4573, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.978, kappa: 0.8005, kb_relative_information_score: 1504.188, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.985, kappa: 0.8659, kb_relative_information_score: 2723.167, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9865, kappa: 0.8822, kb_relative_information_score: 2940.9053, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9857, kappa: 0.8712, kb_relative_information_score: 2571.9341, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9859, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.983, kappa: 0.8496, kb_relative_information_score: 2526.7126, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9818, kappa: 0.8387, kb_relative_information_score: 2357.2723, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9825, kappa: 0.8448, kb_relative_information_score: 2568.7212, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, kb_relative_information_score: -175.1144, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9865, kappa: 0.8799, kb_relative_information_score: 2767.0775, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.981, kappa: 0.8288, kb_relative_information_score: 2378.8531, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.981, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9838, kappa: 0.8591, kb_relative_information_score: 2827.4493, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.4367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.98, kappa: 0.8204, kb_relative_information_score: 2311.458, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9842, kappa: 0.8588, kb_relative_information_score: 2622.2539, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9818, kappa: 0.8373, kb_relative_information_score: 2250.4264, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9818, kappa: 0.8387, kb_relative_information_score: 2353.3289, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9884, kappa: 0.8969, kb_relative_information_score: 2869.135, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.987, kappa: 0.8829, kb_relative_information_score: 2711.365, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9874, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9809, kappa: 0.8265, kb_relative_information_score: 2374.6394, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9818, kappa: 0.838, kb_relative_information_score: 2332.9976, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.113, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.98, kappa: 0.8204, kb_relative_information_score: 2233.8387, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9815, kappa: 0.8359, kb_relative_information_score: 2634.4484, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.982, prior_entropy: 0.3333, recall: 0.982, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9804, kappa: 0.8248, kb_relative_information_score: 2200.7654, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9802, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9867, kappa: 0.8801, kb_relative_information_score: 2598.9149, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9871, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9795, kappa: 0.8163, kb_relative_information_score: 2197.8002, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9794, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, kb_relative_information_score: -107.7286, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9824, kappa: 0.8435, kb_relative_information_score: 2679.4838, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9779, kappa: 0.8002, kb_relative_information_score: 1652.4635, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9753, kappa: 0.7732, kb_relative_information_score: 1287.4108, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9756, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, kb_relative_information_score: 70.2321, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, kb_relative_information_score: -213.1252, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9803, kappa: 0.824, kb_relative_information_score: 2331.2464, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9802, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9821, kappa: 0.8401, kb_relative_information_score: 2328.6428, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9819, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9817, kappa: 0.8366, kb_relative_information_score: 2296.8064, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9815, kappa: 0.838, kb_relative_information_score: 2725.5791, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9877, kappa: 0.8907, kb_relative_information_score: 2804.0373, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9798, kappa: 0.8191, kb_relative_information_score: 2127.445, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9829, kappa: 0.8483, kb_relative_information_score: 2418.354, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9521, kappa: 0.5157, kb_relative_information_score: 850.9629, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9619, predictive_accuracy: 0.9608, prior_entropy: 0.3333, recall: 0.9608, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9884, kappa: 0.8978, kb_relative_information_score: 2904.6087, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9847, kappa: 0.8631, kb_relative_information_score: 2477.1942, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9878, kappa: 0.8916, kb_relative_information_score: 2791.5641, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.981, kappa: 0.8304, kb_relative_information_score: 2279.1403, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9877, kappa: 0.8913, kb_relative_information_score: 2842.9368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9802, kappa: 0.8225, kb_relative_information_score: 2071.4983, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9802, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, kb_relative_information_score: -135.3821, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9849, kappa: 0.8647, kb_relative_information_score: 2533.5562, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9798, kappa: 0.8191, kb_relative_information_score: 2220.9928, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9797, kappa: 0.8176, kb_relative_information_score: 1976.2573, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9837, kappa: 0.8552, kb_relative_information_score: 2540.8568, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9882, kappa: 0.896, kb_relative_information_score: 2935.0306, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9831, kappa: 0.8485, kb_relative_information_score: 2369.9397, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.983, predictive_accuracy: 0.9836, prior_entropy: 0.3333, recall: 0.9836, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9805, kappa: 0.8238, kb_relative_information_score: 2351.2126, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9824, kappa: 0.8435, kb_relative_information_score: 2679.165, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9674, kappa: 0.6919, kb_relative_information_score: 1181.3979, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9686, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.152, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9873, kappa: 0.8878, kb_relative_information_score: 2779.2808, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9873, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9827, kappa: 0.8469, kb_relative_information_score: 2508.7965, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9826, predictive_accuracy: 0.983, prior_entropy: 0.3333, recall: 0.983, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9826, kappa: 0.8449, kb_relative_information_score: 2364.6421, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.983, prior_entropy: 0.3333, recall: 0.983, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9822, kappa: 0.8421, kb_relative_information_score: 2450.2079, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9839, kappa: 0.8567, kb_relative_information_score: 2568.0625, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9839, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.983, kappa: 0.8496, kb_relative_information_score: 2590.5109, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9818, kappa: 0.8387, kb_relative_information_score: 2467.6355, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9834, kappa: 0.8525, kb_relative_information_score: 2664.6179, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9833, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.981, kappa: 0.8304, kb_relative_information_score: 2614.1409, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9832, kappa: 0.851, kb_relative_information_score: 2561.0165, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.9836, prior_entropy: 0.3333, recall: 0.9836, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.984, kappa: 0.8585, kb_relative_information_score: 2665.4073, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9839, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9904, kappa: 0.9156, kb_relative_information_score: 2915.5904, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.981, kappa: 0.8288, kb_relative_information_score: 2379.62, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.981, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9855, kappa: 0.8696, kb_relative_information_score: 2507.4608, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8246, kb_relative_information_score: 1850.5422, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5207,

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