Task
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 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: 0.8356, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 41.3984, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8265, kappa: 0.6352, kb_relative_information_score: 49.2361, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8319, predictive_accuracy: 0.83, prior_entropy: 0.9721, recall: 0.83, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 35.5306, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.7682, kappa: 0.5133, kb_relative_information_score: 42.8139, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7925, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.853, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.779, kappa: 0.5378, kb_relative_information_score: 50.4661, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7786, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8086, kappa: 0.5992, kb_relative_information_score: 59.5236, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8088, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7872, kappa: 0.5532, kb_relative_information_score: 43.4829, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7542, kappa: 0.4828, kb_relative_information_score: 49.0871, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7588, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 33.086, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8393, kappa: 0.6639, kb_relative_information_score: 58.5642, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8392, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 33.086, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7471, kappa: 0.469, kb_relative_information_score: 37.0889, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.769, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7613, kappa: 0.4978, kb_relative_information_score: 39.7022, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7736, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7653, kappa: 0.5064, kb_relative_information_score: 46.5751, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7687, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7653, kappa: 0.5064, kb_relative_information_score: 32.8011, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7687, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 40.7373, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.784, kappa: 0.5455, kb_relative_information_score: 54.0902, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7921, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.784, kappa: 0.5455, kb_relative_information_score: 54.0902, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7921, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 39.5617, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.6619, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.696, kappa: 0.3612, kb_relative_information_score: 24.0467, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.696, kappa: 0.3612, kb_relative_information_score: 38.5315, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7089, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.6619, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 59.6877, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 59.6877, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 35.9153, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.76, kappa: 0.5, kb_relative_information_score: 47.6476, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 39.5617, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.6619, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7967, kappa: 0.5727, kb_relative_information_score: 38.5629, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 38.635, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7895, kappa: 0.5607, kb_relative_information_score: 55.4564, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7892, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7513, kappa: 0.4856, kb_relative_information_score: 46.994, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.754, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0206, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7513, kappa: 0.4856, kb_relative_information_score: 46.994, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.754, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0206, scimark_benchmark: 1569.7001, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1326.6584, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8182, kappa: 0.6186, kb_relative_information_score: 46.8288, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8191, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7866, scimark_benchmark: 1918.4916, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7245, kappa: 0.4206, kb_relative_information_score: 41.5817, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7265, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9455, scimark_benchmark: 1918.4916, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.63, kappa: 0.2396, kb_relative_information_score: 30.069, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6799, predictive_accuracy: 0.67, prior_entropy: 0.9721, recall: 0.67, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1726, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7314, kappa: 0.4348, kb_relative_information_score: 44.8784, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.739, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0408, scimark_benchmark: 1827.4462,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7337, kappa: 0.4397, kb_relative_information_score: 39.9719, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7375, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9455, scimark_benchmark: 1871.4229, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7115, kappa: 0.4358, kb_relative_information_score: 43.2907, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7549, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8457, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.779, kappa: 0.5378, kb_relative_information_score: 28.3188, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7786, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8552, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7727, kappa: 0.5217, kb_relative_information_score: 50.8949, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7829, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7278, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8061, kappa: 0.5923, kb_relative_information_score: 40.7373, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8109, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7895, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 27.9534, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1902, usercpu_time_millis: 0.035, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8123, kappa: 0.6053, kb_relative_information_score: 61.8033, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8321, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.866, usercpu_time_millis: 1.186, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 46.994, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0206, usercpu_time_millis: 4.331, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 27.9534, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1902, usercpu_time_millis: 0.062, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 27.9534, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1902, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6606, kappa: 0.2857, kb_relative_information_score: 30.069, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6626, predictive_accuracy: 0.67, prior_entropy: 0.9721, recall: 0.67, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1726, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 55.4564, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9354, usercpu_time_millis: 1.071, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 57.5721, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9129, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8192, kappa: 0.6218, kb_relative_information_score: 61.8033, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.819, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.866, usercpu_time_millis: 0.482, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.8075, kappa: 0.5957, kb_relative_information_score: 59.6877, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8897, usercpu_time_millis: 0.049, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.084,

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