OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.6321, kappa: 0.5417, kb_relative_information_score: 872.4156, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8063, predictive_accuracy: 0.5463, prior_entropy: 6.6439, recall: 0.5463, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8284, kappa: 0.8258, kb_relative_information_score: 0.3183, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8388, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, kappa: 0.0025, kb_relative_information_score: 59.2529, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.6574, kappa: 0.6679, kb_relative_information_score: 1092.1418, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6627, predictive_accuracy: 0.6713, prior_entropy: 6.6439, recall: 0.6713, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8373, kappa: 0.8359, kb_relative_information_score: 1339.4326, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8441, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8406, kappa: 0.8371, kb_relative_information_score: 948.3328, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8466, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7234, kappa: 0.6686, kb_relative_information_score: 1073.8542, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8093, predictive_accuracy: 0.6719, prior_entropy: 6.6439, recall: 0.6719, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.7037, kappa: 0.7128, kb_relative_information_score: 894.9108, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7277, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2244, kappa: -0.0038, kb_relative_information_score: 12.8753, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, kappa: 0.0038, kb_relative_information_score: 21.5717, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, kb_relative_information_score: 27.3016, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8439, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8476, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, kappa: 0.6585, kb_relative_information_score: 944.6055, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6619, prior_entropy: 6.6439, recall: 0.6619, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.7912, kappa: 0.7715, kb_relative_information_score: 1237.21, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8257, predictive_accuracy: 0.7738, prior_entropy: 6.6439, recall: 0.7738, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8442, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8491, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7881, kappa: 0.7822, kb_relative_information_score: 945.2061, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8016, predictive_accuracy: 0.7844, prior_entropy: 6.6439, recall: 0.7844, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, kappa: 0.0025, kb_relative_information_score: 69.1554, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7756, kappa: 0.7803, kb_relative_information_score: 1127.2822, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7854, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.829, kappa: 0.8245, kb_relative_information_score: 991.9561, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8379, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3555, kappa: 0.0057, kb_relative_information_score: 27.1618, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0156, prior_entropy: 6.6439, recall: 0.0156, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8125, kappa: 0.8131, kb_relative_information_score: 1374.287, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8176, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7829, kappa: 0.7961, kb_relative_information_score: 1002.9643, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8105, predictive_accuracy: 0.7981, prior_entropy: 6.6439, recall: 0.7981, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, kappa: 0.0442, kb_relative_information_score: 82.6958, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0538, prior_entropy: 6.6439, recall: 0.0538, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.5934, kappa: 0.5821, kb_relative_information_score: 817.9004, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6681, predictive_accuracy: 0.5863, prior_entropy: 6.6439, recall: 0.5863, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4392, kappa: 0.0025, kb_relative_information_score: 22.3064, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.4749, kappa: 0.4949, kb_relative_information_score: 1015.988, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4866, predictive_accuracy: 0.5, prior_entropy: 6.6439, recall: 0.5, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7364, kappa: 0.7348, kb_relative_information_score: 0.1909, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7483, predictive_accuracy: 0.7375, prior_entropy: 6.6439, recall: 0.7375, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.749, kappa: 0.7607, kb_relative_information_score: 1061.8072, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7673, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.4688, kappa: 0.4419, kb_relative_information_score: 874.0003, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5528, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, kappa: 0.0044, kb_relative_information_score: 30.5591, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8548, kappa: 0.8548, kb_relative_information_score: 0.6306, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8613, predictive_accuracy: 0.8563, prior_entropy: 6.6439, recall: 0.8563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, kappa: 0.0025, kb_relative_information_score: 47.555, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3185, kappa: -0.0101, kb_relative_information_score: 6.5114, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, kappa: 0.0448, kb_relative_information_score: 83.698, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0544, prior_entropy: 6.6439, recall: 0.0544, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, kappa: 0.0013, kb_relative_information_score: 4.0512, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8358, kappa: 0.8359, kb_relative_information_score: 1410.7539, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8403, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7065, kappa: 0.7071, kb_relative_information_score: 1188.7486, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.713, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.07, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.4575, kappa: 0.4306, kb_relative_information_score: 789.4986, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5323, predictive_accuracy: 0.4363, prior_entropy: 6.6439, recall: 0.4363, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8454, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8498, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, kappa: 0.5259, kb_relative_information_score: 696.049, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5306, prior_entropy: 6.6439, recall: 0.5306, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.5348, kappa: 0.5543, kb_relative_information_score: 706.9934, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5392, predictive_accuracy: 0.5588, prior_entropy: 6.6439, recall: 0.5588, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.3874, kappa: 0.2835, kb_relative_information_score: 462.523, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7505, predictive_accuracy: 0.2906, prior_entropy: 6.6439, recall: 0.2906, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1191, root_relative_squared_error: 1.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4692, kappa: -0.0044, kb_relative_information_score: 22.9632, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8438, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8478, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8242, kappa: 0.8182, kb_relative_information_score: 1311.3715, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.06, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8038, kappa: 0.7986, kb_relative_information_score: 966.5262, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8153, predictive_accuracy: 0.8006, prior_entropy: 6.6439, recall: 0.8006, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8433, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8474, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, kappa: 0.0309, kb_relative_information_score: 57.3742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0406, prior_entropy: 6.6439, recall: 0.0406, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, kappa: 0.113, kb_relative_information_score: 191.9337, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1219, prior_entropy: 6.6439, recall: 0.1219, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1325, root_relative_squared_error: 1.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8364, kappa: 0.8346, kb_relative_information_score: 1337.4282, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.843, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8328, kappa: 0.8295, kb_relative_information_score: 988.8337, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8399, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8439, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8476, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.351, kappa: -0.0069, kb_relative_information_score: 25.951, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4359, kappa: 0.0025, kb_relative_information_score: 16.3643, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8016, kappa: 0.8087, kb_relative_information_score: 1079.7143, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8157, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.5282, kappa: 0.5372, kb_relative_information_score: 1065.233, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5376, predictive_accuracy: 0.5419, prior_entropy: 6.6439, recall: 0.5419, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8344, kappa: 0.8308, kb_relative_information_score: 990.683, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8418, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7726, kappa: 0.7765, kb_relative_information_score: 1127.238, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7858, predictive_accuracy: 0.7788, prior_entropy: 6.6439, recall: 0.7788, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7438, kappa: 0.7557, kb_relative_information_score: 1040.1382, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7641, predictive_accuracy: 0.7581, prior_entropy: 6.6439, recall: 0.7581, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, kappa: 0.072, kb_relative_information_score: 126.7919, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0813, prior_entropy: 6.6439, recall: 0.0813, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1356, root_relative_squared_error: 1.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8308, kappa: 0.827, kb_relative_information_score: 982.2088, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8384, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, kappa: 0.0025, kb_relative_information_score: 39.2724, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3979, kappa: -0.0038, kb_relative_information_score: 4.4669, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, kappa: 0.0448, kb_relative_information_score: 83.698, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0544, prior_entropy: 6.6439, recall: 0.0544, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, kappa: 0.6162, kb_relative_information_score: 1025.7274, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.62, prior_entropy: 6.6439, recall: 0.62, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.6069, kappa: 0.6313, kb_relative_information_score: 946.871, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6646, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, kappa: 0.2652, kb_relative_information_score: 440.9384, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2725, prior_entropy: 6.6439, recall: 0.2725, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.6355, kappa: 0.6458, kb_relative_information_score: 1126.4957, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6417, predictive_accuracy: 0.6494, prior_entropy: 6.6439, recall: 0.6494, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.663, kappa: 0.6446, kb_relative_information_score: 1041.0941, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7211, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7139, kappa: 0.7178, kb_relative_information_score: 0.3977, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7195, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, kappa: 0.2197, kb_relative_information_score: 0.0248, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2275, prior_entropy: 6.6439, recall: 0.2275, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, kappa: 0.0164, kb_relative_information_score: 59.9851, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0263, prior_entropy: 6.6439, recall: 0.0263, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, kappa: -0.0025, kb_relative_information_score: 21.2724, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.6693, kappa: 0.6793, kb_relative_information_score: 1065.6689, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6808, predictive_accuracy: 0.6825, prior_entropy: 6.6439, recall: 0.6825, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7901, kappa: 0.7891, kb_relative_information_score: 1337.5472, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.794, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, kappa: 0.3845, kb_relative_information_score: 0.1505, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3906, prior_entropy: 6.6439, recall: 0.3906, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8239, kappa: 0.8194, kb_relative_information_score: 988.8448, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8326, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8313, kappa: 0.827, kb_relative_information_score: 990.7134, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8383, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, kappa: -0.0025, kb_relative_information_score: 41.5745, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8344, kappa: 0.8308, kb_relative_information_score: 991.3864, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8414, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8433, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8483, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7537, kappa: 0.7626, kb_relative_information_score: 1121.7468, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7686, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4404, kappa: 0.0025, kb_relative_information_score: 33.6157, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, kappa: 0.0436, kb_relative_information_score: 81.6937, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0531, prior_entropy: 6.6439, recall: 0.0531, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1376, root_relative_squared_error: 1.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7657, kappa: 0.7614, kb_relative_information_score: 1221.1751, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.782, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7552, kappa: 0.7525, kb_relative_information_score: 1327.0971, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.7052, kappa: 0.7115, kb_relative_information_score: 0.1793, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7173, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.637, kb_relative_information_score: 905.4762, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6406, prior_entropy: 6.6439, recall: 0.6406, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.7424, kappa: 0.7027, kb_relative_information_score: 731.219, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8045, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8207, kappa: 0.8176, kb_relative_information_score: 992.0674, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8289, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7801, kappa: 0.774, kb_relative_information_score: 940.1289, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7763, prior_entropy: 6.6439, recall: 0.7763, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7774, kappa: 0.7734, kb_relative_information_score: 961.9984, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.786, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,

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