Task
Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 3642 Supervised Classification fri_c0_250_5 640 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: 0.9309, f_measure: 0.8476, kappa: 0.696, kb_relative_information_score: 108.8242, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8512, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 174.2327, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8152, kappa: 0.632, kb_relative_information_score: 126.0523, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8213, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 140.8382, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.7898, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 165.6415, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 173.9756, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 177.8634, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 138.0204, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8159, kappa: 0.632, kb_relative_information_score: 147.421, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8197, kappa: 0.64, kb_relative_information_score: 107.1007, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8225, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7031, kappa: 0.408, kb_relative_information_score: 62.0757, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7066, predictive_accuracy: 0.704, prior_entropy: 1, recall: 0.704, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 139.9334, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 149.1858, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8399, kappa: 0.68, kb_relative_information_score: 137.6193, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7717, kappa: 0.544, kb_relative_information_score: 72.5483, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7734, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, 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: 0.9266, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 141.4844, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 130.6684, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6877, kappa: 0.376, kb_relative_information_score: 70.6098, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6888, predictive_accuracy: 0.688, prior_entropy: 1, recall: 0.688, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, 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: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 152.6042, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 124.2572, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, 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: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 137.7858, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7676, kappa: 0.536, kb_relative_information_score: 98.9296, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7697, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 152.6042, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6867, kappa: 0.376, kb_relative_information_score: 94, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6911, predictive_accuracy: 0.688, prior_entropy: 1, recall: 0.688, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8352, kappa: 0.672, kb_relative_information_score: 113.7779, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 162.6446, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8476, kappa: 0.696, kb_relative_information_score: 128.7269, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8512, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7759, kappa: 0.552, kb_relative_information_score: 138, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7766, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7635, kappa: 0.528, kb_relative_information_score: 132, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7661, 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: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7635, kappa: 0.528, kb_relative_information_score: 132, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7661, 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: 1317.2939, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, scimark_benchmark: 1378.0426, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7759, kappa: 0.552, kb_relative_information_score: 138, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7766, predictive_accuracy: 0.776, prior_entropy: 1, recall: 0.776, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1353.4124, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8118, kappa: 0.624, kb_relative_information_score: 124.1461, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8136, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7846, scimark_benchmark: 1908.2191, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 127.9549, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8083, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7513, scimark_benchmark: 1908.2191, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 158, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8163, 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, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 152.3664, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.731, scimark_benchmark: 1331.199, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 127.9549, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8083, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7513, scimark_benchmark: 1293.3306, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7833, kappa: 0.576, kb_relative_information_score: 143.54, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8157, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 125.0602, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.677, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 131.0902, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8163, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7159, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 141.4844, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6573, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8475, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8524, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8237, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8261, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 144, mean_absolute_error: 0.212, 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: 0.424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9209, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8078, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8093, 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: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 114.3932, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8464, 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: 0.868, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 184, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7356, kappa: 0.472, kb_relative_information_score: 97.5411, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7375, predictive_accuracy: 0.736, prior_entropy: 1, recall: 0.736, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8971, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8118, kappa: 0.624, kb_relative_information_score: 103.6696, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8136, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.74, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.7898, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.6994, scimark_benchmark: 1732.2066,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs