OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16997 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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16997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8459, kappa: 0.8418, kb_relative_information_score: 6620.676, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8611, predictive_accuracy: 0.8479, prior_entropy: 4.7004, recall: 0.8479, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7919, kappa: 0.7827, kb_relative_information_score: 6148.4167, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7968, predictive_accuracy: 0.7911, prior_entropy: 4.7004, recall: 0.7911, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9017, kappa: 0.8984, kb_relative_information_score: 7025.8393, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9093, predictive_accuracy: 0.9023, prior_entropy: 4.7004, recall: 0.9023, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9488, kappa: 0.9468, kb_relative_information_score: 7393.1908, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 4.7004, recall: 0.9488, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.7325, kappa: 0.7248, kb_relative_information_score: 5825.6066, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7408, predictive_accuracy: 0.7354, prior_entropy: 4.7004, recall: 0.7354, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.6383, usercpu_time_millis: 11.763, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 11.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6692.3871, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.54, usercpu_time_millis: 251.38, usercpu_time_millis_testing: 233.495, usercpu_time_millis_training: 17.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.88, kappa: 0.8765, kb_relative_information_score: 7238.9766, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8963, predictive_accuracy: 0.8812, prior_entropy: 4.7004, recall: 0.8812, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.075, root_relative_squared_error: 0.39, scimark_benchmark: 1116.2892, usercpu_time_millis: 151920, usercpu_time_millis_testing: 80610, usercpu_time_millis_training: 71310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.0432, kappa: 0.0396, kb_relative_information_score: 413.0631, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0401, predictive_accuracy: 0.0766, prior_entropy: 4.7004, recall: 0.0766, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.9807, scimark_benchmark: 924.5848, usercpu_time_millis: 158390, usercpu_time_millis_testing: 5820, usercpu_time_millis_training: 152570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 862.0218, usercpu_time_millis: 4060, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.0513, kappa: 0.0401, kb_relative_information_score: 398.6759, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1233, predictive_accuracy: 0.0771, prior_entropy: 4.7004, recall: 0.0771, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9833, scimark_benchmark: 1073.3572, usercpu_time_millis: 154340, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 153480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8957, kappa: 0.8913, kb_relative_information_score: 7017.2382, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8977, predictive_accuracy: 0.8955, prior_entropy: 4.7004, recall: 0.8955, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.4536, scimark_benchmark: 1279.0666, usercpu_time_millis: 75640, usercpu_time_millis_testing: 12910, usercpu_time_millis_training: 62730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.82, kappa: 0.8123, kb_relative_information_score: 6386.5575, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8214, predictive_accuracy: 0.8195, prior_entropy: 4.7004, recall: 0.8195, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.5531, scimark_benchmark: 1305.8828, usercpu_time_millis: 70520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9134, kappa: 0.9102, kb_relative_information_score: 7254.7305, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9167, predictive_accuracy: 0.9137, prior_entropy: 4.7004, recall: 0.9137, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.3679, scimark_benchmark: 525.8672, usercpu_time_millis: 214340, usercpu_time_millis_testing: 120560, usercpu_time_millis_training: 93780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9156, kappa: 0.9125, kb_relative_information_score: 7208.898, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9196, predictive_accuracy: 0.9159, prior_entropy: 4.7004, recall: 0.9159, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.3689, scimark_benchmark: 1311.8145, usercpu_time_millis: 152160, usercpu_time_millis_testing: 85120, usercpu_time_millis_training: 67040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8316, kappa: 0.8286, kb_relative_information_score: 7072.654, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8602, predictive_accuracy: 0.8352, prior_entropy: 4.7004, recall: 0.8352, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.445, scimark_benchmark: 1119.126, usercpu_time_millis: 248450, usercpu_time_millis_testing: 248450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9453, kappa: 0.9429, kb_relative_information_score: 7363.8449, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.946, predictive_accuracy: 0.9451, prior_entropy: 4.7004, recall: 0.9451, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.065, root_relative_squared_error: 0.3379, usercpu_time_millis: 34441.353, usercpu_time_millis_testing: 3.406, usercpu_time_millis_training: 34437.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9604, kappa: 0.9588, kb_relative_information_score: 7484.2709, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9605, predictive_accuracy: 0.9604, prior_entropy: 4.7004, recall: 0.9604, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2871, usercpu_time_millis: 55204.543, usercpu_time_millis_testing: 5.851, usercpu_time_millis_training: 55198.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8535, kappa: 0.8465, kb_relative_information_score: 6632.1886, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8575, predictive_accuracy: 0.8524, prior_entropy: 4.7004, recall: 0.8524, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5541, usercpu_time_millis: 2196.99, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 2194.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0214, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0148, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, usercpu_time_millis: 41.376, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 40.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.528, kappa: 0.5234, kb_relative_information_score: 4181.0652, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5485, predictive_accuracy: 0.5417, prior_entropy: 4.7004, recall: 0.5417, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9763, usercpu_time_millis: 2930.327, usercpu_time_millis_testing: 10.643, usercpu_time_millis_training: 2919.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8709, kappa: 0.8658, kb_relative_information_score: 6778.8726, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8756, predictive_accuracy: 0.871, prior_entropy: 4.7004, recall: 0.871, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.518, usercpu_time_millis: 8076.771, usercpu_time_millis_testing: 114.039, usercpu_time_millis_training: 7962.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7789, kappa: 0.7687, kb_relative_information_score: 6042.1704, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7815, predictive_accuracy: 0.7776, prior_entropy: 4.7004, recall: 0.7776, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.6801, usercpu_time_millis: 2386.162, usercpu_time_millis_testing: 15.195, usercpu_time_millis_training: 2370.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9446, kappa: 0.9422, kb_relative_information_score: 7358.7804, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9453, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.3399, usercpu_time_millis: 183.661, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 182.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8978, kappa: 0.8934, kb_relative_information_score: 6988.3362, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8999, predictive_accuracy: 0.8975, prior_entropy: 4.7004, recall: 0.8975, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.4617, usercpu_time_millis: 260.154, usercpu_time_millis_testing: 259.288, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9594, kappa: 0.9577, kb_relative_information_score: 7476.1824, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9596, predictive_accuracy: 0.9593, prior_entropy: 4.7004, recall: 0.9593, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.2908, usercpu_time_millis: 238.541, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 238.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9599, kappa: 0.9583, kb_relative_information_score: 7480.2203, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 4.7004, recall: 0.9599, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.289, usercpu_time_millis: 507.678, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 507.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9655, kappa: 0.964, kb_relative_information_score: 7523.7478, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9661, predictive_accuracy: 0.9654, prior_entropy: 4.7004, recall: 0.9654, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2684, usercpu_time_millis: 854.173, usercpu_time_millis_testing: 243.166, usercpu_time_millis_training: 611.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6668.4834, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5454, usercpu_time_millis: 262.546, usercpu_time_millis_testing: 242.067, usercpu_time_millis_training: 20.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7247, kappa: 0.7159, kb_relative_information_score: 5641.3459, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7316, predictive_accuracy: 0.7268, prior_entropy: 4.7004, recall: 0.7268, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.145, root_relative_squared_error: 0.7538, usercpu_time_millis: 27.026, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 26.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9064, kappa: 0.903, kb_relative_information_score: 7061.2449, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9069, predictive_accuracy: 0.9068, prior_entropy: 4.7004, recall: 0.9068, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4404, usercpu_time_millis: 4804.914, usercpu_time_millis_testing: 5.267, usercpu_time_millis_training: 4799.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.139, kappa: 0.1133, kb_relative_information_score: 1068.9119, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1365, predictive_accuracy: 0.1474, prior_entropy: 4.7004, recall: 0.1474, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.3317, usercpu_time_millis: 116.267, usercpu_time_millis_testing: 16.966, usercpu_time_millis_training: 99.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8482, kappa: 0.8421, kb_relative_information_score: 6598.7519, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8487, predictive_accuracy: 0.8481, prior_entropy: 4.7004, recall: 0.8481, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.562, usercpu_time_millis: 1382.053, usercpu_time_millis_testing: 14.24, usercpu_time_millis_training: 1367.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.3185, kappa: 0.2823, kb_relative_information_score: 2351.302, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.429, predictive_accuracy: 0.3099, prior_entropy: 4.7004, recall: 0.3099, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2304, root_relative_squared_error: 1.1981, usercpu_time_millis: 3614.463, usercpu_time_millis_testing: 318.98, usercpu_time_millis_training: 3295.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9484, kappa: 0.9464, kb_relative_information_score: 7390.154, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9486, predictive_accuracy: 0.9484, prior_entropy: 4.7004, recall: 0.9484, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.063, root_relative_squared_error: 0.3275, usercpu_time_millis: 3314.087, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 3311.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9469, kappa: 0.9448, kb_relative_information_score: 7378.0178, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3323, usercpu_time_millis: 4947.191, usercpu_time_millis_testing: 192.804, usercpu_time_millis_training: 4754.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9459, kappa: 0.9437, kb_relative_information_score: 7369.9204, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.9459, prior_entropy: 4.7004, recall: 0.9459, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.3355, usercpu_time_millis: 2869.732, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 2865.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0178, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0118, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, usercpu_time_millis: 56.291, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 55.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7188, kappa: 0.7207, kb_relative_information_score: 5677.8518, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7546, predictive_accuracy: 0.7314, prior_entropy: 4.7004, recall: 0.7314, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.7474, usercpu_time_millis: 68.38, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 67.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.945, kappa: 0.9426, kb_relative_information_score: 7361.8172, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 4.7004, recall: 0.9449, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3387, usercpu_time_millis: 401.255, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 400.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, usercpu_time_millis: 2638.037, usercpu_time_millis_testing: 716.512, usercpu_time_millis_training: 1921.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8181, kappa: 0.8099, kb_relative_information_score: 6354.8426, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8203, predictive_accuracy: 0.8172, prior_entropy: 4.7004, recall: 0.8172, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.6166, usercpu_time_millis: 84.666, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 83.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9679, kappa: 0.9665, kb_relative_information_score: 7542.9753, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9684, predictive_accuracy: 0.9678, prior_entropy: 4.7004, recall: 0.9678, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.2588, usercpu_time_millis: 2545.825, usercpu_time_millis_testing: 109.76, usercpu_time_millis_training: 2436.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8529, kappa: 0.8466, kb_relative_information_score: 6633.177, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8559, predictive_accuracy: 0.8525, prior_entropy: 4.7004, recall: 0.8525, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.5539, usercpu_time_millis: 2497.675, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 2495.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9436, kappa: 0.9413, kb_relative_information_score: 7351.6979, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9443, predictive_accuracy: 0.9436, prior_entropy: 4.7004, recall: 0.9436, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9009, kappa: 0.8968, kb_relative_information_score: 6962.7089, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9016, predictive_accuracy: 0.9007, prior_entropy: 4.7004, recall: 0.9007, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.4235, kappa: 0.4462, kb_relative_information_score: 3641.8322, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6237, predictive_accuracy: 0.4675, prior_entropy: 4.7004, recall: 0.4675, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.2345, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0382, prior_entropy: 4.7004, recall: 0.0382, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.952, kappa: 0.9501, kb_relative_information_score: 7381.1723, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9522, predictive_accuracy: 0.952, prior_entropy: 4.7004, recall: 0.952, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, kappa: 0.437, kb_relative_information_score: 176.6903, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.4586, prior_entropy: 4.7004, recall: 0.4586, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9733, kappa: 0.9721, kb_relative_information_score: 7492.296, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9735, predictive_accuracy: 0.9732, prior_entropy: 4.7004, recall: 0.9732, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8394, kappa: 0.8326, kb_relative_information_score: 6732.581, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8426, predictive_accuracy: 0.839, prior_entropy: 4.7004, recall: 0.839, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9047, kappa: 0.9009, kb_relative_information_score: 6784.9179, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9054, predictive_accuracy: 0.9047, prior_entropy: 4.7004, recall: 0.9047, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.083, root_relative_squared_error: 0.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9399, kappa: 0.9376, kb_relative_information_score: 6867.0956, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 4.7004, recall: 0.94, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9137, kappa: 0.9102, kb_relative_information_score: 6832.4856, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9144, predictive_accuracy: 0.9137, prior_entropy: 4.7004, recall: 0.9137, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1566, kappa: -0.0017, kb_relative_information_score: 20.1622, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0367, prior_entropy: 4.7004, recall: 0.0367, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9741, kappa: 0.9731, kb_relative_information_score: 7495.0247, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 4.7004, recall: 0.9741, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9412, kappa: 0.9389, kb_relative_information_score: 7309.6794, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 4.7004, recall: 0.9413, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.3088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.965, kappa: 0.9636, kb_relative_information_score: 7450.5402, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 4.7004, recall: 0.965, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8867, kappa: 0.8826, kb_relative_information_score: 6738.4309, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8893, predictive_accuracy: 0.8871, prior_entropy: 4.7004, recall: 0.8871, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.4777,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9097, kappa: 0.9061, kb_relative_information_score: 6787.6456, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9105, predictive_accuracy: 0.9097, prior_entropy: 4.7004, recall: 0.9097, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.4295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, kappa: 0.0974, kb_relative_information_score: 359.7706, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.1321, prior_entropy: 4.7004, recall: 0.1321, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9578, kappa: 0.9561, kb_relative_information_score: 7414.714, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 4.7004, recall: 0.9578, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9762, kappa: 0.9752, kb_relative_information_score: 7515.333, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 4.7004, recall: 0.9761, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9274, kappa: 0.9246, kb_relative_information_score: 7216.3962, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.928, predictive_accuracy: 0.9275, prior_entropy: 4.7004, recall: 0.9275, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9718, kappa: 0.9707, kb_relative_information_score: 7495.6519, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9719, predictive_accuracy: 0.9718, prior_entropy: 4.7004, recall: 0.9718, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9747, kappa: 0.9737, kb_relative_information_score: 7496.0586, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 4.7004, recall: 0.9747, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.2242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, kappa: 0.0004, kb_relative_information_score: 74.9079, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0387, prior_entropy: 4.7004, recall: 0.0387, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.96, kappa: 0.9584, kb_relative_information_score: 7440.3034, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 4.7004, recall: 0.96, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0002, kb_relative_information_score: 21.6498, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.972, kappa: 0.9709, kb_relative_information_score: 7486.697, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 4.7004, recall: 0.972, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9262, kappa: 0.9233, kb_relative_information_score: 6937.3982, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9266, predictive_accuracy: 0.9263, prior_entropy: 4.7004, recall: 0.9263, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9138, kappa: 0.9102, kb_relative_information_score: 7188.7025, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.915, predictive_accuracy: 0.9137, prior_entropy: 4.7004, recall: 0.9137, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, kappa: 0.767, kb_relative_information_score: 6028.3075, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7759, prior_entropy: 4.7004, recall: 0.7759, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.7906, kappa: 0.7845, kb_relative_information_score: 6.7343, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8005, predictive_accuracy: 0.7927, prior_entropy: 4.7004, recall: 0.7927, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 67.9246, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, kappa: 0.0004, kb_relative_information_score: 30.753, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, kappa: 0.504, kb_relative_information_score: 3099.8112, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.523, prior_entropy: 4.7004, recall: 0.523, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9369, kappa: 0.9345, kb_relative_information_score: 7279.5701, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 4.7004, recall: 0.937, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.974, kappa: 0.9729, kb_relative_information_score: 7491.0906, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 4.7004, recall: 0.974, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.2261,

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

OpenML APIs