Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 66576 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 0.936, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9694, number_of_instances: 14980, precision: 0.9703, predictive_accuracy: 0.9694, prior_entropy: 0.9924, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2788, unweighted_recall: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6321, kappa: 0.257, kb_relative_information_score: 0.1085, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.639, predictive_accuracy: 0.6406, prior_entropy: 0.9924, recall: 0.6406, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9747, kappa: 0.9489, kb_relative_information_score: 13747.0866, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9924, recall: 0.9747, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7983, kappa: 0.5924, kb_relative_information_score: 8843.5342, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7983, predictive_accuracy: 0.7983, prior_entropy: 0.9924, recall: 0.7983, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.787, kappa: 0.5695, kb_relative_information_score: 8502.3955, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9924, recall: 0.787, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.801, kappa: 0.5978, kb_relative_information_score: 8924.7577, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.801, predictive_accuracy: 0.8009, prior_entropy: 0.9924, recall: 0.8009, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7949, kappa: 0.5856, kb_relative_information_score: 8737.9437, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.795, predictive_accuracy: 0.7948, prior_entropy: 0.9924, recall: 0.7948, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 8873.993, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9924, recall: 0.7993, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7939, kappa: 0.5834, kb_relative_information_score: 8711.546, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7939, predictive_accuracy: 0.7939, prior_entropy: 0.9924, recall: 0.7939, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9639, kappa: 0.9269, kb_relative_information_score: 13011.0412, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9924, recall: 0.9639, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7976, kappa: 0.5908, kb_relative_information_score: 8827.2895, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7976, predictive_accuracy: 0.7977, prior_entropy: 0.9924, recall: 0.7977, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7992, kappa: 0.5943, kb_relative_information_score: 8869.9319, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7993, predictive_accuracy: 0.7991, prior_entropy: 0.9924, recall: 0.7991, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7932, kappa: 0.5817, kb_relative_information_score: 8695.3014, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9924, recall: 0.7934, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7914, kappa: 0.5784, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7914, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7952, kappa: 0.586, kb_relative_information_score: 8748.0966, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7952, predictive_accuracy: 0.7951, prior_entropy: 0.9924, recall: 0.7951, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8016, kappa: 0.5991, kb_relative_information_score: 8943.033, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 0.9924, recall: 0.8015, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.792, kappa: 0.5798, kb_relative_information_score: 8648.5978, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7922, predictive_accuracy: 0.7919, prior_entropy: 0.9924, recall: 0.7919, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7971, kappa: 0.5899, kb_relative_information_score: 8806.9837, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8898.3601, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8900.3907, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7953, kappa: 0.5863, kb_relative_information_score: 8754.1884, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7953, predictive_accuracy: 0.7953, prior_entropy: 0.9924, recall: 0.7953, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7879, kappa: 0.5712, kb_relative_information_score: 8530.8238, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9924, recall: 0.788, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7883, kappa: 0.5724, kb_relative_information_score: 8536.9155, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7885, predictive_accuracy: 0.7882, prior_entropy: 0.9924, recall: 0.7882, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 5871.1145, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9321, kappa: 0.8626, kb_relative_information_score: 9534.0336, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9328, predictive_accuracy: 0.9323, prior_entropy: 0.9924, recall: 0.9323, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7996, kappa: 0.5947, kb_relative_information_score: 8890.2377, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9924, recall: 0.7998, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7939, kappa: 0.5833, kb_relative_information_score: 8715.6072, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7939, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7918, kappa: 0.5791, kb_relative_information_score: 8646.5673, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7918, prior_entropy: 0.9924, recall: 0.7918, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8019, kappa: 0.5998, kb_relative_information_score: 8953.186, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.802, predictive_accuracy: 0.8019, prior_entropy: 0.9924, recall: 0.8019, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7964, kappa: 0.5886, kb_relative_information_score: 8786.6778, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7965, predictive_accuracy: 0.7964, prior_entropy: 0.9924, recall: 0.7964, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8002, kappa: 0.596, kb_relative_information_score: 8904.4519, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9924, recall: 0.8003, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7944, kappa: 0.5846, kb_relative_information_score: 8725.7602, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7945, predictive_accuracy: 0.7944, prior_entropy: 0.9924, recall: 0.7944, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7898, kappa: 0.5752, kb_relative_information_score: 8585.6496, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7898, predictive_accuracy: 0.7898, prior_entropy: 0.9924, recall: 0.7898, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8978, kappa: 0.793, kb_relative_information_score: 9580.6728, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8996, predictive_accuracy: 0.8983, prior_entropy: 0.9924, recall: 0.8983, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7054, kappa: 0.4131, kb_relative_information_score: 4048.874, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7148, predictive_accuracy: 0.7049, prior_entropy: 0.9924, recall: 0.7049, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.838, kappa: 0.6718, kb_relative_information_score: 8501.9084, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8391, predictive_accuracy: 0.8387, prior_entropy: 0.9924, recall: 0.8387, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7164, kappa: 0.4257, kb_relative_information_score: 3691.003, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7164, predictive_accuracy: 0.7174, prior_entropy: 0.9924, recall: 0.7174, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6518, kappa: 0.3072, kb_relative_information_score: 3018.0528, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6616, predictive_accuracy: 0.6513, prior_entropy: 0.9924, recall: 0.6513, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7873, kappa: 0.5699, kb_relative_information_score: 8512.5485, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7872, predictive_accuracy: 0.7874, prior_entropy: 0.9924, recall: 0.7874, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7829, kappa: 0.5613, kb_relative_information_score: 8374.4685, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7829, predictive_accuracy: 0.7828, prior_entropy: 0.9924, recall: 0.7828, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7974, kappa: 0.5904, kb_relative_information_score: 8817.1366, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 0.9924, recall: 0.7974, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 8640.4755, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7916, prior_entropy: 0.9924, recall: 0.7916, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7934, kappa: 0.5827, kb_relative_information_score: 8693.2708, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7933, prior_entropy: 0.9924, recall: 0.7933, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7961, kappa: 0.5881, kb_relative_information_score: 8776.5248, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7962, predictive_accuracy: 0.7961, prior_entropy: 0.9924, recall: 0.7961, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7904, kappa: 0.5765, kb_relative_information_score: 8599.8637, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7905, predictive_accuracy: 0.7903, prior_entropy: 0.9924, recall: 0.7903, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7977, kappa: 0.5911, kb_relative_information_score: 8829.3201, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7977, predictive_accuracy: 0.7978, prior_entropy: 0.9924, recall: 0.7978, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7949, kappa: 0.5857, kb_relative_information_score: 8737.9437, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7951, predictive_accuracy: 0.7948, prior_entropy: 0.9924, recall: 0.7948, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9695, kappa: 0.9383, kb_relative_information_score: 13048.562, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9924, recall: 0.9695, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9682, kappa: 0.9358, kb_relative_information_score: 13310.6361, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.9924, recall: 0.9682, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6288, kappa: 0.2509, kb_relative_information_score: 1577.2571, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6365, predictive_accuracy: 0.638, prior_entropy: 0.9924, recall: 0.638, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7946, kappa: 0.5849, kb_relative_information_score: 8729.8213, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7946, predictive_accuracy: 0.7945, prior_entropy: 0.9924, recall: 0.7945, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8055, kappa: 0.6071, kb_relative_information_score: 9060.8071, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8056, predictive_accuracy: 0.8054, prior_entropy: 0.9924, recall: 0.8054, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7976, kappa: 0.5911, kb_relative_information_score: 8823.2284, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7977, predictive_accuracy: 0.7976, prior_entropy: 0.9924, recall: 0.7976, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8409, kappa: 0.6781, kb_relative_information_score: 9283.039, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.841, predictive_accuracy: 0.8412, prior_entropy: 0.9924, recall: 0.8412, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9199, kappa: 0.838, kb_relative_information_score: 12547.2923, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9924, recall: 0.92, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1262.6488, mean_absolute_error: 0.5337, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6978, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9447, kappa: 0.8881, kb_relative_information_score: 12566.997, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9447, predictive_accuracy: 0.9447, prior_entropy: 0.9924, recall: 0.9447, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7667, kappa: 0.5273, kb_relative_information_score: 5075.1587, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7694, predictive_accuracy: 0.7688, prior_entropy: 0.9924, recall: 0.7688, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 1499.8527, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.5513, prior_entropy: 0.9924, recall: 0.5513, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6553, root_relative_squared_error: 1.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9315, kappa: 0.8614, kb_relative_information_score: 10356.7311, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9924, recall: 0.9316, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.3022, kappa: 0.0123, kb_relative_information_score: -1440.5396, mean_absolute_error: 0.5393, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6252, predictive_accuracy: 0.4571, prior_entropy: 0.9924, recall: 0.4571, relative_absolute_error: 1.0901, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.906, kappa: 0.8097, kb_relative_information_score: 9926.2415, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9924, recall: 0.9061, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8716, kappa: 0.7398, kb_relative_information_score: 6704.1243, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8745, predictive_accuracy: 0.8725, prior_entropy: 0.9924, recall: 0.8725, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8405, kappa: 0.6773, kb_relative_information_score: 8682.8442, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8406, predictive_accuracy: 0.8408, prior_entropy: 0.9924, recall: 0.8408, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: 0.0162, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7602, kappa: 0.5148, kb_relative_information_score: 6487.882, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7601, predictive_accuracy: 0.7605, prior_entropy: 0.9924, recall: 0.7605, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.956, kappa: 0.911, kb_relative_information_score: 12438.1966, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9924, recall: 0.956, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 12710.687, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9924, recall: 0.9585, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.4638, kappa: 0.0324, kb_relative_information_score: 122.8761, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5467, predictive_accuracy: 0.5568, prior_entropy: 0.9924, recall: 0.5568, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8445, kappa: 0.6856, kb_relative_information_score: 9953.7151, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8445, predictive_accuracy: 0.8446, prior_entropy: 0.9924, recall: 0.8446, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.3887, kappa: 0.0012, kb_relative_information_score: -1280.0655, mean_absolute_error: 0.5341, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5067, predictive_accuracy: 0.4638, prior_entropy: 0.9924, recall: 0.4638, relative_absolute_error: 1.0794, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9639, kappa: 0.9269, kb_relative_information_score: 13011.0412, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9924, recall: 0.9639, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,

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