Task
Supervised Classification on fri_c0_250_25

Supervised Classification on fri_c0_250_25

Task 3639 Supervised Classification fri_c0_250_25 536 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: 0.9076, f_measure: 0.8237, kappa: 0.6478, kb_relative_information_score: 102.7509, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.826, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7799, kappa: 0.5602, kb_relative_information_score: 129.1067, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8238, kappa: 0.6478, kb_relative_information_score: 112.3177, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8252, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8237, kappa: 0.6478, kb_relative_information_score: 102.7509, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.826, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.784, kappa: 0.5681, kb_relative_information_score: 117.2543, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7843, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7589, kappa: 0.5205, kb_relative_information_score: 100.4004, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7658, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6956, kappa: 0.3917, kb_relative_information_score: 77.0007, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6967, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.511, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 146.6559, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.804, kappa: 0.6081, kb_relative_information_score: 145.4603, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8046, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8, kappa: 0.6001, kb_relative_information_score: 148.0787, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7952, kappa: 0.5924, kb_relative_information_score: 136.3532, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8018, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.844, kappa: 0.6879, kb_relative_information_score: 119.7204, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6586, kappa: 0.3207, kb_relative_information_score: 43.6936, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6634, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7253, kappa: 0.4551, kb_relative_information_score: 69.5159, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7363, predictive_accuracy: 0.728, prior_entropy: 1, recall: 0.728, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7998, kappa: 0.5998, kb_relative_information_score: 143.9493, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8006, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 119.3463, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7832, kappa: 0.5684, kb_relative_information_score: 66.682, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7889, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3378, kb_relative_information_score: -0.0609, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7713, kappa: 0.5444, kb_relative_information_score: 102.8529, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7762, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8199, kappa: 0.6401, kb_relative_information_score: 127.0031, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8211, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5649, kappa: 0.1372, kb_relative_information_score: 38.3177, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5708, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8159, kappa: 0.6321, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8168, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7878, kappa: 0.5762, kb_relative_information_score: 145.137, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7896, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 118.9281, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7838, kappa: 0.5678, kb_relative_information_score: 120.791, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7846, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.824, kappa: 0.6479, kb_relative_information_score: 121.9631, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 157.9915, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7878, kappa: 0.5762, kb_relative_information_score: 145.137, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7896, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8358, kappa: 0.6718, kb_relative_information_score: 89.3979, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.837, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8278, kappa: 0.6558, kb_relative_information_score: 117.5429, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.829, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.692, kappa: 0.3841, kb_relative_information_score: 89.8896, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6922, predictive_accuracy: 0.692, prior_entropy: 1, recall: 0.692, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6639, kappa: 0.3282, kb_relative_information_score: 81.9846, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6645, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 118.9281, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.816, kappa: 0.6319, kb_relative_information_score: 115.9583, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7791, kappa: 0.5595, kb_relative_information_score: 78.927, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7502, kappa: 0.5033, kb_relative_information_score: 125.9885, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7583, predictive_accuracy: 0.752, prior_entropy: 1, recall: 0.752, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7638, kappa: 0.5278, kb_relative_information_score: 131.9891, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7647, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1631.1992, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.804, kappa: 0.6079, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1697.6783, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 153.9911, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.804, kappa: 0.6079, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1402.5187, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.808, kappa: 0.6159, kb_relative_information_score: 153.9911, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1326.3412, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7638, kappa: 0.5278, kb_relative_information_score: 131.9891, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7647, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1615.8441, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7999, kappa: 0.6001, kb_relative_information_score: 137.7079, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.837, scimark_benchmark: 1908.2191, usercpu_time_millis: 1203.125, usercpu_time_millis_training: 1203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 144.145, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.788, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.903, scimark_benchmark: 1908.2191, usercpu_time_millis: 1312.5, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.796, kappa: 0.5921, kb_relative_information_score: 147.9905, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034, scimark_benchmark: 1827.4462, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8119, kappa: 0.6241, kb_relative_information_score: 116.5371, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8131, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7362, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7747, kappa: 0.5515, kb_relative_information_score: 140.5396, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7816, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7964, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.573, kappa: 0.189, kb_relative_information_score: 48.825, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6196, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0664, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.678, kappa: 0.3666, kb_relative_information_score: 56.005, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6971, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8708, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8075, kappa: 0.6163, kb_relative_information_score: 124.8697, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8121, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7414, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6956, kappa: 0.3917, kb_relative_information_score: 62.8255, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6967, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.893, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.844, kappa: 0.6879, kb_relative_information_score: 171.9927, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.8039, kappa: 0.6082, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.804, kappa: 0.6081, kb_relative_information_score: 151.9909, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8046, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6805, kappa: 0.3669, kb_relative_information_score: 91.9855, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6912, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.744, kappa: 0.488, kb_relative_information_score: 103.0064, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 1, recall: 0.744, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.72, kappa: 0.4399, kb_relative_information_score: 89.117, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9081, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7919, kappa: 0.5839, kb_relative_information_score: 104.9175, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 1, recall: 0.792, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7976, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7589, kappa: 0.5205, kb_relative_information_score: 100.4004, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7658, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 171.9927, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7719, kappa: 0.5439, kb_relative_information_score: 130.5486, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7721, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8642, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7878, kappa: 0.5762, kb_relative_information_score: 145.137, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7896, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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