Task
Supervised Classification on fri_c2_100_10

Supervised Classification on fri_c2_100_10

Task 3628 Supervised Classification fri_c2_100_10 768 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6862, kappa: 0.3648, kb_relative_information_score: 29.691, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6893, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7064, kappa: 0.4057, kb_relative_information_score: 39.0173, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 36.885, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.68, kappa: 0.3535, kb_relative_information_score: 27.5789, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7142, kappa: 0.4227, kb_relative_information_score: 38.8077, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7235, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6379, kappa: 0.2668, kb_relative_information_score: 24.3514, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.638, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7606, kappa: 0.521, kb_relative_information_score: 52.5143, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7666, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 34.3044, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.76, kappa: 0.5152, kb_relative_information_score: 51.0466, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6365, kappa: 0.2638, kb_relative_information_score: 25.4681, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6376, predictive_accuracy: 0.64, prior_entropy: 0.9931, recall: 0.64, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.8287, kappa: 0.6531, kb_relative_information_score: 40.0797, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8317, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.8287, kappa: 0.6531, kb_relative_information_score: 40.0797, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8317, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6211, kappa: 0.2355, kb_relative_information_score: 17.7397, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6279, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7564, kappa: 0.5072, kb_relative_information_score: 42.6232, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.763, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7172, kappa: 0.4274, kb_relative_information_score: 41.6997, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7198, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 29.3782, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6473, kappa: 0.2857, kb_relative_information_score: 20.4376, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7691, kappa: 0.5325, kb_relative_information_score: 49.8706, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7691, kappa: 0.5325, kb_relative_information_score: 49.8706, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7497, kappa: 0.4939, kb_relative_information_score: 46.8218, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7142, kappa: 0.4227, kb_relative_information_score: 39.001, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7235, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 32.426, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7142, kappa: 0.4227, kb_relative_information_score: 39.001, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7235, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8173, kappa: 0.6304, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8257, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8173, kappa: 0.6304, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8257, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7361, kappa: 0.4661, kb_relative_information_score: 37.2699, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7421, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7697, kappa: 0.5344, kb_relative_information_score: 42.627, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.6782, kappa: 0.3483, kb_relative_information_score: 34.8505, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7497, kappa: 0.4939, kb_relative_information_score: 46.8218, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7142, kappa: 0.4227, kb_relative_information_score: 39.001, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7235, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7279, kappa: 0.449, kb_relative_information_score: 28.4776, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7296, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.6888, kappa: 0.3898, kb_relative_information_score: 30.8415, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7115, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6776, kappa: 0.3542, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7193, kappa: 0.432, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7193, kappa: 0.432, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, scimark_benchmark: 1330.5252, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, scimark_benchmark: 1383.0819, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6776, kappa: 0.3542, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, scimark_benchmark: 1564.7537, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6903, kappa: 0.3849, kb_relative_information_score: 32.0662, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7018, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9734, scimark_benchmark: 1908.2191, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7193, kappa: 0.432, kb_relative_information_score: 39.1696, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0158, scimark_benchmark: 1908.2191, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6592, kappa: 0.3103, kb_relative_information_score: 26.8098, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6589, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1017, scimark_benchmark: 1401.1118, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.6641, kappa: 0.321, kb_relative_information_score: 17.1873, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6695, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9525, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7691, kappa: 0.5325, kb_relative_information_score: 49.8706, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7623, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6473, kappa: 0.2857, kb_relative_information_score: 20.4376, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9643, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7172, kappa: 0.4274, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7198, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 4.697, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 3.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7385, kappa: 0.4705, kb_relative_information_score: 47.2435, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0249, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.6505, kappa: 0.3206, kb_relative_information_score: 35.0754, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7193, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1371, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6191, kappa: 0.2292, kb_relative_information_score: 22.9073, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2391, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7193, kappa: 0.432, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, usercpu_time_millis: 0.018, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.5117, kappa: 0.0466, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5353, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484,

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