Task
Supervised Classification on rabe_97

Supervised Classification on rabe_97

Task 3791 Supervised Classification rabe_97 115 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 38.3263, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6957, kappa: 0.3867, kb_relative_information_score: 11.5415, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.6957, predictive_accuracy: 0.6957, prior_entropy: 0.995, recall: 0.6957, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9125, kappa: 0.8234, kb_relative_information_score: 34.1914, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9156, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 37.8991, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8, kappa: 0.5981, kb_relative_information_score: 28.9387, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8161, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8234, kappa: 0.6441, kb_relative_information_score: 27.5472, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8338, predictive_accuracy: 0.8261, prior_entropy: 0.995, recall: 0.8261, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9563, kappa: 0.9117, kb_relative_information_score: 40.6134, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9597, predictive_accuracy: 0.9565, prior_entropy: 0.995, recall: 0.9565, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 26.3523, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 35.7858, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 32.0117, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 24.1056, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 32.7394, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9565, kappa: 0.9124, kb_relative_information_score: 41.9413, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.995, recall: 0.9565, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 38.645, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8261, kappa: 0.6495, kb_relative_information_score: 23.1726, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.995, recall: 0.8261, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.848, kappa: 0.6945, kb_relative_information_score: 26.895, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8491, predictive_accuracy: 0.8478, prior_entropy: 0.995, recall: 0.8478, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.7612, kappa: 0.5199, kb_relative_information_score: 22.1031, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7623, predictive_accuracy: 0.7609, prior_entropy: 0.995, recall: 0.7609, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8024, kappa: 0.6012, kb_relative_information_score: 29.4122, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8075, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.7612, kappa: 0.5199, kb_relative_information_score: 22.1031, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7623, predictive_accuracy: 0.7609, prior_entropy: 0.995, recall: 0.7609, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.3218, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 35.0026, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8445, kappa: 0.6874, kb_relative_information_score: 14.588, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8628, predictive_accuracy: 0.8478, prior_entropy: 0.995, recall: 0.8478, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4305, f_measure: 0.3827, kb_relative_information_score: -0.1499, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 0.995, recall: 0.5435, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.891, kappa: 0.785, kb_relative_information_score: 28.9018, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9122, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8024, kappa: 0.6012, kb_relative_information_score: 30.3184, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8075, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.891, kappa: 0.785, kb_relative_information_score: 28.9018, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9122, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 26.0275, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 34.902, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.956, kb_relative_information_score: 41.9496, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 0.995, recall: 0.9783, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 25.467, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.5998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 35.4299, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8261, kappa: 0.6495, kb_relative_information_score: 20.0251, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.995, recall: 0.8261, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8264, kappa: 0.6522, kb_relative_information_score: 23.8832, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8299, predictive_accuracy: 0.8261, prior_entropy: 0.995, recall: 0.8261, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.956, kb_relative_information_score: 41.9496, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 0.995, recall: 0.9783, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.956, kb_relative_information_score: 41.9496, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 0.995, recall: 0.9783, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7612, kappa: 0.5199, kb_relative_information_score: 16.9733, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7623, predictive_accuracy: 0.7609, prior_entropy: 0.995, recall: 0.7609, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 35.1912, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 39.9193, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 35.8789, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6619, scimark_benchmark: 1280.301, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 39.9193, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5127, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7814, kappa: 0.5585, kb_relative_information_score: 25.778, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7831, predictive_accuracy: 0.7826, prior_entropy: 0.995, recall: 0.7826, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.936, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3827, kb_relative_information_score: 3.5559, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 0.995, recall: 0.5435, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6757, root_relative_squared_error: 1.3565, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8698, kappa: 0.7391, kb_relative_information_score: 32.7508, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8733, predictive_accuracy: 0.8696, prior_entropy: 0.995, recall: 0.8696, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7144, scimark_benchmark: 1787.9841, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8698, kappa: 0.7391, kb_relative_information_score: 32.7508, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8733, predictive_accuracy: 0.8696, prior_entropy: 0.995, recall: 0.8696, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7144, scimark_benchmark: 1362.3637, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3827, kb_relative_information_score: 3.5559, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 0.995, recall: 0.5435, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6757, root_relative_squared_error: 1.3565, scimark_benchmark: 1595.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7814, kappa: 0.5585, kb_relative_information_score: 25.778, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7831, predictive_accuracy: 0.7826, prior_entropy: 0.995, recall: 0.7826, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.936, scimark_benchmark: 1369.4271, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 35.8789, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6619, scimark_benchmark: 1372.3199, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 39.9193, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5127, scimark_benchmark: 1594.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8698, kappa: 0.7391, kb_relative_information_score: 33.8494, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8733, predictive_accuracy: 0.8696, prior_entropy: 0.995, recall: 0.8696, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6596, scimark_benchmark: 1671.2677, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 34.9192, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5685, scimark_benchmark: 1515.505, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 35.5812, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5357, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 26.0275, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5889, scimark_benchmark: 1325.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 26.0275, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5889, scimark_benchmark: 1305.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.848, kappa: 0.6945, kb_relative_information_score: 30.8824, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8491, predictive_accuracy: 0.8478, prior_entropy: 0.995, recall: 0.8478, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.704, scimark_benchmark: 1263.593, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 35.0618, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6673, scimark_benchmark: 1303.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 35.7919, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5983, scimark_benchmark: 1385.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 38.6048, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5421, scimark_benchmark: 1079.7255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9563, kappa: 0.9117, kb_relative_information_score: 40.5969, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9597, predictive_accuracy: 0.9565, prior_entropy: 0.995, recall: 0.9565, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.414, scimark_benchmark: 588.1118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8696, kappa: 0.7371, kb_relative_information_score: 33.8587, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 0.995, recall: 0.8696, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7251, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9125, kappa: 0.8234, kb_relative_information_score: 35.4947, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9156, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5715, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 35.3048, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4681, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 26.3523, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5787, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.956, kb_relative_information_score: 41.9496, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 0.995, recall: 0.9783, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3436, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9132, kappa: 0.8261, kb_relative_information_score: 26.0275, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9168, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5889, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8696, kappa: 0.7371, kb_relative_information_score: 33.8587, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 0.995, recall: 0.8696, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7251, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.848, kappa: 0.6945, kb_relative_information_score: 30.8826, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8491, predictive_accuracy: 0.8478, prior_entropy: 0.995, recall: 0.8478, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.704, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 35.0618, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6673, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.891, kappa: 0.7801, kb_relative_information_score: 35.7919, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8916, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5983, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 38.6048, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5421, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 35.9447, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5617, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9125, kappa: 0.8234, kb_relative_information_score: 35.4947, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9156, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5715, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 35.539, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4631, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 26.3523, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5787, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9782, kappa: 0.956, kb_relative_information_score: 41.9496, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9791, predictive_accuracy: 0.9783, prior_entropy: 0.995, recall: 0.9783, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3436, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9349, kappa: 0.8691, kb_relative_information_score: 40.6953, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9359, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4475, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9346, kappa: 0.8681, kb_relative_information_score: 38.5932, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9354, predictive_accuracy: 0.9348, prior_entropy: 0.995, recall: 0.9348, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5088, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 33.281, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6433, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9565, kappa: 0.9124, kb_relative_information_score: 41.3732, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.995, recall: 0.9565, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.428, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9565, kappa: 0.9124, kb_relative_information_score: 41.3732, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.995, recall: 0.9565, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.428, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.6418, kappa: 0.2827, kb_relative_information_score: 14.1894, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.655, predictive_accuracy: 0.6522, prior_entropy: 0.995, recall: 0.6522, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.119, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7814, kappa: 0.5585, kb_relative_information_score: 21.0065, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7831, predictive_accuracy: 0.7826, prior_entropy: 0.995, recall: 0.7826, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8475, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 25.4499, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7814, kappa: 0.5585, kb_relative_information_score: 20.2073, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7831, predictive_accuracy: 0.7826, prior_entropy: 0.995, recall: 0.7826, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.885, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 27.7981, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.888, scimark_benchmark: 1073.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8915, kappa: 0.7818, kb_relative_information_score: 35.0618, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8925, predictive_accuracy: 0.8913, prior_entropy: 0.995, recall: 0.8913, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6673, scimark_benchmark: 977.0752, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7376, kappa: 0.4703, kb_relative_information_score: 21.7376, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.739, predictive_accuracy: 0.7391, prior_entropy: 0.995, recall: 0.7391, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0254, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.848, kappa: 0.6945, kb_relative_information_score: 31.8385, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8491, predictive_accuracy: 0.8478, prior_entropy: 0.995, recall: 0.8478, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7832, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7167, kappa: 0.4283, kb_relative_information_score: 14.4693, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7167, predictive_accuracy: 0.7174, prior_entropy: 0.995, recall: 0.7174, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8887, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8039, kappa: 0.6042, kb_relative_information_score: 24.3848, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7271, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7391, kappa: 0.4743, kb_relative_information_score: 14.6635, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.7391, predictive_accuracy: 0.7391, prior_entropy: 0.995, recall: 0.7391, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8852, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8024, kappa: 0.6012, kb_relative_information_score: 24.8592, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.8075, predictive_accuracy: 0.8043, prior_entropy: 0.995, recall: 0.8043, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7098, scimark_benchmark: 1860.4354,

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

OpenML bootcamp

From your own software

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

OpenML APIs