Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 109854 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.755, kappa: 0.397, kb_relative_information_score: 0.3795, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7522, predictive_accuracy: 0.7613, prior_entropy: 0.8732, recall: 0.7613, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.8013, kappa: 0.5215, kb_relative_information_score: 0.4829, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8016, predictive_accuracy: 0.8011, prior_entropy: 0.8732, recall: 0.8011, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8058, kappa: 0.5338, kb_relative_information_score: 0.493, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8068, predictive_accuracy: 0.805, prior_entropy: 0.8732, recall: 0.805, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.8021, kappa: 0.5226, kb_relative_information_score: 0.4858, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.8732, recall: 0.8022, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8349, kappa: 0.6028, kb_relative_information_score: 0.57, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8353, predictive_accuracy: 0.8346, prior_entropy: 0.8732, recall: 0.8346, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8387, kappa: 0.6118, kb_relative_information_score: 0.5801, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.839, predictive_accuracy: 0.8385, prior_entropy: 0.8732, recall: 0.8385, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8898, kappa: 0.7334, kb_relative_information_score: 0.7143, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8895, predictive_accuracy: 0.8901, prior_entropy: 0.8732, recall: 0.8901, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8917, kappa: 0.7383, kb_relative_information_score: 0.7191, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8915, predictive_accuracy: 0.8919, prior_entropy: 0.8732, recall: 0.8919, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8827, kappa: 0.7161, kb_relative_information_score: 0.696, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8823, predictive_accuracy: 0.883, prior_entropy: 0.8732, recall: 0.883, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.342, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8831, kappa: 0.7168, kb_relative_information_score: 0.6975, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8827, predictive_accuracy: 0.8836, prior_entropy: 0.8732, recall: 0.8836, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8858, kappa: 0.723, kb_relative_information_score: 0.7052, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8854, predictive_accuracy: 0.8866, prior_entropy: 0.8732, recall: 0.8866, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7775, kappa: 0.4589, kb_relative_information_score: 0.4271, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.776, predictive_accuracy: 0.7796, prior_entropy: 0.8732, recall: 0.7796, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4695, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7777, kappa: 0.4587, kb_relative_information_score: 0.4286, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.776, predictive_accuracy: 0.7802, prior_entropy: 0.8732, recall: 0.7802, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.777, kappa: 0.4578, kb_relative_information_score: 0.4257, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7791, prior_entropy: 0.8732, recall: 0.7791, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7785, kappa: 0.4613, kb_relative_information_score: 0.4295, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7769, predictive_accuracy: 0.7805, prior_entropy: 0.8732, recall: 0.7805, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7777, kappa: 0.4594, kb_relative_information_score: 0.4276, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7798, prior_entropy: 0.8732, recall: 0.7798, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7781, kappa: 0.4603, kb_relative_information_score: 0.4286, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7766, predictive_accuracy: 0.7802, prior_entropy: 0.8732, recall: 0.7802, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.7783, kappa: 0.4602, kb_relative_information_score: 0.43, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7766, predictive_accuracy: 0.7807, prior_entropy: 0.8732, recall: 0.7807, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7784, kappa: 0.4604, kb_relative_information_score: 0.43, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7767, predictive_accuracy: 0.7807, prior_entropy: 0.8732, recall: 0.7807, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4683, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.7725, kappa: 0.4457, kb_relative_information_score: 0.4156, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7707, predictive_accuracy: 0.7752, prior_entropy: 0.8732, recall: 0.7752, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7719, kappa: 0.4442, kb_relative_information_score: 0.4142, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7701, predictive_accuracy: 0.7746, prior_entropy: 0.8732, recall: 0.7746, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8577, kappa: 0.6551, kb_relative_information_score: 0.632, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8572, predictive_accuracy: 0.8584, prior_entropy: 0.8732, recall: 0.8584, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8844, kappa: 0.7207, kb_relative_information_score: 0.7003, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8842, predictive_accuracy: 0.8847, prior_entropy: 0.8732, recall: 0.8847, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.8651, kappa: 0.6724, kb_relative_information_score: 0.6522, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8645, predictive_accuracy: 0.8662, prior_entropy: 0.8732, recall: 0.8662, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.8663, kappa: 0.6752, kb_relative_information_score: 0.6551, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8657, predictive_accuracy: 0.8673, prior_entropy: 0.8732, recall: 0.8673, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8685, kappa: 0.6802, kb_relative_information_score: 0.6614, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8679, predictive_accuracy: 0.8697, prior_entropy: 0.8732, recall: 0.8697, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8907, kappa: 0.7355, kb_relative_information_score: 0.7172, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8904, predictive_accuracy: 0.8912, prior_entropy: 0.8732, recall: 0.8912, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8912, kappa: 0.7367, kb_relative_information_score: 0.7181, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8909, predictive_accuracy: 0.8916, prior_entropy: 0.8732, recall: 0.8916, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8876, kappa: 0.728, kb_relative_information_score: 0.709, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8873, predictive_accuracy: 0.888, prior_entropy: 0.8732, recall: 0.888, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.886, kappa: 0.7237, kb_relative_information_score: 0.7052, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8856, predictive_accuracy: 0.8866, prior_entropy: 0.8732, recall: 0.8866, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8941, kappa: 0.7427, kb_relative_information_score: 0.7273, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8938, predictive_accuracy: 0.8951, prior_entropy: 0.8732, recall: 0.8951, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8309, kappa: 0.5937, kb_relative_information_score: 0.5589, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8316, predictive_accuracy: 0.8303, prior_entropy: 0.8732, recall: 0.8303, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8355, kappa: 0.6039, kb_relative_information_score: 0.5719, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8357, predictive_accuracy: 0.8353, prior_entropy: 0.8732, recall: 0.8353, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.8357, kappa: 0.6046, kb_relative_information_score: 0.5724, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.836, predictive_accuracy: 0.8355, prior_entropy: 0.8732, recall: 0.8355, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8348, kappa: 0.6026, kb_relative_information_score: 0.5695, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8352, predictive_accuracy: 0.8344, prior_entropy: 0.8732, recall: 0.8344, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8447, kappa: 0.6263, kb_relative_information_score: 0.5955, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8451, predictive_accuracy: 0.8444, prior_entropy: 0.8732, recall: 0.8444, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8323, kappa: 0.5967, kb_relative_information_score: 0.5628, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8328, predictive_accuracy: 0.8318, prior_entropy: 0.8732, recall: 0.8318, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8217, kappa: 0.5748, kb_relative_information_score: 0.532, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8243, predictive_accuracy: 0.8199, prior_entropy: 0.8732, recall: 0.8199, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8378, kappa: 0.6077, kb_relative_information_score: 0.5796, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8374, predictive_accuracy: 0.8383, prior_entropy: 0.8732, recall: 0.8383, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4646, f_measure: 0.5556, kappa: -0.0707, kb_relative_information_score: -0.1563, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.556, predictive_accuracy: 0.5551, prior_entropy: 0.8732, recall: 0.5551, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.667, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.7029, kappa: 0.2524, kb_relative_information_score: 0.2949, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7042, predictive_accuracy: 0.7287, prior_entropy: 0.8732, recall: 0.7287, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2372, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8732, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3832, f_measure: 0.4884, kappa: -0.2336, kb_relative_information_score: -0.3299, mean_absolute_error: 0.5117, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4884, predictive_accuracy: 0.4883, prior_entropy: 0.8732, recall: 0.4883, relative_absolute_error: 1.2337, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.7153, root_relative_squared_error: 1.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.7249, kappa: 0.3144, kb_relative_information_score: 0.3213, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.722, predictive_accuracy: 0.7389, prior_entropy: 0.8732, recall: 0.7389, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.511, root_relative_squared_error: 1.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.6204, kappa: 0.0843, kb_relative_information_score: 0.0135, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6203, predictive_accuracy: 0.6205, prior_entropy: 0.8732, recall: 0.6205, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.3529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7859, kappa: 0.4801, kb_relative_information_score: 0.4478, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7846, predictive_accuracy: 0.7876, prior_entropy: 0.8732, recall: 0.7876, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7962, kappa: 0.5073, kb_relative_information_score: 0.4714, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7957, predictive_accuracy: 0.7966, prior_entropy: 0.8732, recall: 0.7966, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7857, kappa: 0.4793, kb_relative_information_score: 0.4473, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7844, predictive_accuracy: 0.7874, prior_entropy: 0.8732, recall: 0.7874, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7999, kappa: 0.5186, kb_relative_information_score: 0.4786, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8004, predictive_accuracy: 0.7994, prior_entropy: 0.8732, recall: 0.7994, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.8066, kappa: 0.5361, kb_relative_information_score: 0.495, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8077, predictive_accuracy: 0.8057, prior_entropy: 0.8732, recall: 0.8057, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7831, kappa: 0.4723, kb_relative_information_score: 0.4416, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7816, predictive_accuracy: 0.7852, prior_entropy: 0.8732, recall: 0.7852, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.8143, kappa: 0.5572, kb_relative_information_score: 0.5123, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.817, predictive_accuracy: 0.8124, prior_entropy: 0.8732, recall: 0.8124, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8083, kappa: 0.5424, kb_relative_information_score: 0.4974, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8107, predictive_accuracy: 0.8066, prior_entropy: 0.8732, recall: 0.8066, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7971, kappa: 0.5124, kb_relative_information_score: 0.4709, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7978, predictive_accuracy: 0.7964, prior_entropy: 0.8732, recall: 0.7964, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8521, kappa: 0.6427, kb_relative_information_score: 0.6162, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8519, predictive_accuracy: 0.8523, prior_entropy: 0.8732, recall: 0.8523, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.881, kappa: 0.7114, kb_relative_information_score: 0.6926, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8806, predictive_accuracy: 0.8818, prior_entropy: 0.8732, recall: 0.8818, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8841, kappa: 0.7188, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8837, predictive_accuracy: 0.8849, prior_entropy: 0.8732, recall: 0.8849, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7803, kappa: 0.4644, kb_relative_information_score: 0.4358, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7785, predictive_accuracy: 0.7829, prior_entropy: 0.8732, recall: 0.7829, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.7647, kappa: 0.4236, kb_relative_information_score: 0.3997, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7622, predictive_accuracy: 0.7691, prior_entropy: 0.8732, recall: 0.7691, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7728, kappa: 0.4464, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7755, prior_entropy: 0.8732, recall: 0.7755, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7752, kappa: 0.4518, kb_relative_information_score: 0.4228, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7733, predictive_accuracy: 0.7779, prior_entropy: 0.8732, recall: 0.7779, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.765, kappa: 0.4243, kb_relative_information_score: 0.4007, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7626, predictive_accuracy: 0.7694, prior_entropy: 0.8732, recall: 0.7694, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7647, kappa: 0.4233, kb_relative_information_score: 0.4002, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7622, predictive_accuracy: 0.7692, prior_entropy: 0.8732, recall: 0.7692, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7689, kappa: 0.4353, kb_relative_information_score: 0.4084, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7667, predictive_accuracy: 0.7724, prior_entropy: 0.8732, recall: 0.7724, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.7289, kappa: 0.3224, kb_relative_information_score: 0.3372, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7277, predictive_accuracy: 0.745, prior_entropy: 0.8732, recall: 0.745, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.505, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.744, kappa: 0.3656, kb_relative_information_score: 0.3603, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7413, predictive_accuracy: 0.7539, prior_entropy: 0.8732, recall: 0.7539, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7552, kappa: 0.3968, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7524, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7293, kappa: 0.3231, kb_relative_information_score: 0.3396, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7285, predictive_accuracy: 0.7459, prior_entropy: 0.8732, recall: 0.7459, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.7116, kappa: 0.2736, kb_relative_information_score: 0.3189, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7159, predictive_accuracy: 0.738, prior_entropy: 0.8732, recall: 0.738, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7799, kappa: 0.4638, kb_relative_information_score: 0.4344, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7782, predictive_accuracy: 0.7824, prior_entropy: 0.8732, recall: 0.7824, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7657, kappa: 0.4264, kb_relative_information_score: 0.4021, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7634, predictive_accuracy: 0.77, prior_entropy: 0.8732, recall: 0.77, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.8153, kappa: 0.559, kb_relative_information_score: 0.5156, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8176, predictive_accuracy: 0.8137, prior_entropy: 0.8732, recall: 0.8137, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.817, kappa: 0.564, kb_relative_information_score: 0.5195, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8198, predictive_accuracy: 0.8151, prior_entropy: 0.8732, recall: 0.8151, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7767, kappa: 0.4569, kb_relative_information_score: 0.4252, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7751, predictive_accuracy: 0.7789, prior_entropy: 0.8732, recall: 0.7789, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7666, kappa: 0.427, kb_relative_information_score: 0.4065, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7641, predictive_accuracy: 0.7717, prior_entropy: 0.8732, recall: 0.7717, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7772, kappa: 0.4584, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7792, prior_entropy: 0.8732, recall: 0.7792, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.749, kappa: 0.379, kb_relative_information_score: 0.3709, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7463, predictive_accuracy: 0.758, prior_entropy: 0.8732, recall: 0.758, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7954, kappa: 0.5052, kb_relative_information_score: 0.47, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7948, predictive_accuracy: 0.7961, prior_entropy: 0.8732, recall: 0.7961, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7754, kappa: 0.4538, kb_relative_information_score: 0.4219, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7739, predictive_accuracy: 0.7776, prior_entropy: 0.8732, recall: 0.7776, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7778, kappa: 0.4596, kb_relative_information_score: 0.4276, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7763, predictive_accuracy: 0.7798, prior_entropy: 0.8732, recall: 0.7798, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7736, kappa: 0.4485, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7718, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2372, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8732, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.871, kappa: 0.6865, kb_relative_information_score: 0.6676, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8705, predictive_accuracy: 0.8721, prior_entropy: 0.8732, recall: 0.8721, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8698, kappa: 0.6834, kb_relative_information_score: 0.6648, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8693, predictive_accuracy: 0.871, prior_entropy: 0.8732, recall: 0.871, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8634, kappa: 0.6698, kb_relative_information_score: 0.646, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8631, predictive_accuracy: 0.8638, prior_entropy: 0.8732, recall: 0.8638, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8682, kappa: 0.6801, kb_relative_information_score: 0.6599, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8677, predictive_accuracy: 0.8692, prior_entropy: 0.8732, recall: 0.8692, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8722, kappa: 0.6893, kb_relative_information_score: 0.671, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8717, predictive_accuracy: 0.8734, prior_entropy: 0.8732, recall: 0.8734, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8328, kappa: 0.598, kb_relative_information_score: 0.5642, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8333, predictive_accuracy: 0.8323, prior_entropy: 0.8732, recall: 0.8323, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7791, kappa: 0.4625, kb_relative_information_score: 0.4315, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7775, predictive_accuracy: 0.7813, prior_entropy: 0.8732, recall: 0.7813, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8357, kappa: 0.6046, kb_relative_information_score: 0.5719, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8361, predictive_accuracy: 0.8353, prior_entropy: 0.8732, recall: 0.8353, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.8038, kappa: 0.5267, kb_relative_information_score: 0.4902, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.8732, recall: 0.8038, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.8039, kappa: 0.5275, kb_relative_information_score: 0.4897, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8041, predictive_accuracy: 0.8037, prior_entropy: 0.8732, recall: 0.8037, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7692, kappa: 0.4368, kb_relative_information_score: 0.4084, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7672, predictive_accuracy: 0.7724, prior_entropy: 0.8732, recall: 0.7724, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.773, kappa: 0.447, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7712, predictive_accuracy: 0.7755, prior_entropy: 0.8732, recall: 0.7755, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7728, kappa: 0.4465, kb_relative_information_score: 0.4161, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7754, prior_entropy: 0.8732, recall: 0.7754, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7561, kappa: 0.4003, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7533, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7722, kappa: 0.4453, kb_relative_information_score: 0.4142, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7704, predictive_accuracy: 0.7746, prior_entropy: 0.8732, recall: 0.7746, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8958, kappa: 0.748, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,

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