Task
Supervised Classification on fri_c1_500_50

Supervised Classification on fri_c1_500_50

Task 3632 Supervised Classification fri_c1_500_50 561 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: 0.6254, f_measure: 0.6445, kappa: 0.2872, kb_relative_information_score: 76.0466, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6457, predictive_accuracy: 0.646, prior_entropy: 0.9984, recall: 0.646, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8671, kappa: 0.7339, kb_relative_information_score: 281.3093, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8727, predictive_accuracy: 0.868, prior_entropy: 0.9984, recall: 0.868, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6513, kappa: 0.3005, kb_relative_information_score: 89.3022, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6515, predictive_accuracy: 0.652, prior_entropy: 0.9984, recall: 0.652, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8394, kappa: 0.678, kb_relative_information_score: 297.1307, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8416, predictive_accuracy: 0.84, prior_entropy: 0.9984, recall: 0.84, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6445, kappa: 0.2872, kb_relative_information_score: 92.714, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6457, predictive_accuracy: 0.646, prior_entropy: 0.9984, recall: 0.646, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5791, kappa: 0.1558, kb_relative_information_score: 47.0357, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.58, prior_entropy: 0.9984, recall: 0.58, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.848, kappa: 0.6952, kb_relative_information_score: 347.1413, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9984, recall: 0.848, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6294, kappa: 0.2567, kb_relative_information_score: 103.1385, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6295, predictive_accuracy: 0.63, prior_entropy: 0.9984, recall: 0.63, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8861, kappa: 0.7719, kb_relative_information_score: 326.0349, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8867, predictive_accuracy: 0.886, prior_entropy: 0.9984, recall: 0.886, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7659, kappa: 0.5306, kb_relative_information_score: 256.1618, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7659, predictive_accuracy: 0.766, prior_entropy: 0.9984, recall: 0.766, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.6774, kappa: 0.3529, kb_relative_information_score: 82.3475, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6777, predictive_accuracy: 0.678, prior_entropy: 0.9984, recall: 0.678, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.7486, kappa: 0.4962, kb_relative_information_score: 70.3915, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7517, predictive_accuracy: 0.75, prior_entropy: 0.9984, recall: 0.75, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.5517, kappa: 0.1009, kb_relative_information_score: 34.3222, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5515, predictive_accuracy: 0.552, prior_entropy: 0.9984, recall: 0.552, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.628, kappa: 0.2543, kb_relative_information_score: 109.5632, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.628, predictive_accuracy: 0.628, prior_entropy: 0.9984, recall: 0.628, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8553, kappa: 0.71, kb_relative_information_score: 301.2734, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8587, predictive_accuracy: 0.856, prior_entropy: 0.9984, recall: 0.856, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8289, kappa: 0.6573, kb_relative_information_score: 165.945, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8336, predictive_accuracy: 0.83, prior_entropy: 0.9984, recall: 0.83, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3603, kb_relative_information_score: -0.0241, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.2746, predictive_accuracy: 0.524, prior_entropy: 0.9984, recall: 0.524, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7338, kappa: 0.4661, kb_relative_information_score: 147.379, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7338, predictive_accuracy: 0.734, prior_entropy: 0.9984, recall: 0.734, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8219, kappa: 0.6428, kb_relative_information_score: 285.6148, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 0.9984, recall: 0.822, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.898, kappa: 0.7956, kb_relative_information_score: 351.7907, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8981, predictive_accuracy: 0.898, prior_entropy: 0.9984, recall: 0.898, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8161, kappa: 0.6314, kb_relative_information_score: 308.146, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8162, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6445, kappa: 0.2872, kb_relative_information_score: 92.7604, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6457, predictive_accuracy: 0.646, prior_entropy: 0.9984, recall: 0.646, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6078, kappa: 0.2136, kb_relative_information_score: 81.349, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6077, predictive_accuracy: 0.608, prior_entropy: 0.9984, recall: 0.608, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6735, kappa: 0.3451, kb_relative_information_score: 91.4564, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6736, predictive_accuracy: 0.674, prior_entropy: 0.9984, recall: 0.674, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6401, kappa: 0.2786, kb_relative_information_score: 138.8034, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.64, prior_entropy: 0.9984, recall: 0.64, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7031, kappa: 0.4046, kb_relative_information_score: 193.9968, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.704, predictive_accuracy: 0.704, prior_entropy: 0.9984, recall: 0.704, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.464, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.807, kappa: 0.6132, kb_relative_information_score: 145.9564, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8104, predictive_accuracy: 0.808, prior_entropy: 0.9984, recall: 0.808, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8161, kappa: 0.6314, kb_relative_information_score: 308.146, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8162, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7161, kappa: 0.4309, kb_relative_information_score: 215.0546, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7161, predictive_accuracy: 0.716, prior_entropy: 0.9984, recall: 0.716, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6493, kappa: 0.2966, kb_relative_information_score: 88.6739, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.65, prior_entropy: 0.9984, recall: 0.65, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.663, kappa: 0.3241, kb_relative_information_score: 162.8827, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6637, predictive_accuracy: 0.664, prior_entropy: 0.9984, recall: 0.664, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6445, kappa: 0.2872, kb_relative_information_score: 92.7604, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6457, predictive_accuracy: 0.646, prior_entropy: 0.9984, recall: 0.646, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6458, kappa: 0.2897, kb_relative_information_score: 52.9576, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6457, predictive_accuracy: 0.646, prior_entropy: 0.9984, recall: 0.646, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7536, kappa: 0.5102, kb_relative_information_score: 143.3481, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7607, predictive_accuracy: 0.754, prior_entropy: 0.9984, recall: 0.754, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8001, kappa: 0.5995, kb_relative_information_score: 299.3323, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9984, recall: 0.8, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8494, kappa: 0.6981, kb_relative_information_score: 304.9585, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8241, kappa: 0.648, kb_relative_information_score: 323.4116, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8252, predictive_accuracy: 0.824, prior_entropy: 0.9984, recall: 0.824, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8814, kappa: 0.7623, kb_relative_information_score: 381.6033, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8853, predictive_accuracy: 0.882, prior_entropy: 0.9984, recall: 0.882, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8716, kappa: 0.7425, kb_relative_information_score: 371.5703, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8735, predictive_accuracy: 0.872, prior_entropy: 0.9984, recall: 0.872, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8375, kappa: 0.6741, kb_relative_information_score: 337.4579, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8394, predictive_accuracy: 0.838, prior_entropy: 0.9984, recall: 0.838, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5967, kappa: 0.2061, kb_relative_information_score: 108.7042, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6158, predictive_accuracy: 0.61, prior_entropy: 0.9984, recall: 0.61, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2504, scimark_benchmark: 1631.1992, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.6208, kappa: 0.2395, kb_relative_information_score: 120.7439, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6213, predictive_accuracy: 0.622, prior_entropy: 0.9984, recall: 0.622, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2311, scimark_benchmark: 1697.6783, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6417, kappa: 0.2814, kb_relative_information_score: 140.81, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6416, predictive_accuracy: 0.642, prior_entropy: 0.9984, recall: 0.642, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.198, scimark_benchmark: 1862.8608, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.6208, kappa: 0.2395, kb_relative_information_score: 120.7439, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6213, predictive_accuracy: 0.622, prior_entropy: 0.9984, recall: 0.622, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2311, scimark_benchmark: 1304.5333, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6417, kappa: 0.2814, kb_relative_information_score: 140.81, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6416, predictive_accuracy: 0.642, prior_entropy: 0.9984, recall: 0.642, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.198, scimark_benchmark: 1333.4449, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.6178, kappa: 0.2335, kb_relative_information_score: 116.7307, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6177, predictive_accuracy: 0.618, prior_entropy: 0.9984, recall: 0.618, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2375, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.631, kappa: 0.2749, kb_relative_information_score: 142.8166, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6555, predictive_accuracy: 0.644, prior_entropy: 0.9984, recall: 0.644, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1947, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5542, kappa: 0.1071, kb_relative_information_score: 52.3463, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5546, predictive_accuracy: 0.554, prior_entropy: 0.9984, recall: 0.554, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6664, root_relative_squared_error: 1.3343, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8358, kappa: 0.6707, kb_relative_information_score: 309.2826, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6754, scimark_benchmark: 1744.8652, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8059, kappa: 0.6107, kb_relative_information_score: 148.2776, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8059, predictive_accuracy: 0.806, prior_entropy: 0.9984, recall: 0.806, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.798, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8201, kappa: 0.6394, kb_relative_information_score: 312.6219, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9984, recall: 0.82, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8321, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8358, kappa: 0.6707, kb_relative_information_score: 309.2826, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6754, scimark_benchmark: 1744.8652, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6277, kappa: 0.2534, kb_relative_information_score: 81.1336, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6276, predictive_accuracy: 0.628, prior_entropy: 0.9984, recall: 0.628, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9824, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8358, kappa: 0.6707, kb_relative_information_score: 309.2826, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6754, scimark_benchmark: 1788.6668, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6436, kappa: 0.2853, kb_relative_information_score: 106.1522, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6436, predictive_accuracy: 0.644, prior_entropy: 0.9984, recall: 0.644, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0317, scimark_benchmark: 1788.6668, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.846, kappa: 0.6913, kb_relative_information_score: 314.4602, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9984, recall: 0.846, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6441, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8576, kappa: 0.7144, kb_relative_information_score: 319.3168, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8592, predictive_accuracy: 0.858, prior_entropy: 0.9984, recall: 0.858, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6997, 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: 0.7248, f_measure: 0.7134, kappa: 0.4252, kb_relative_information_score: 136.4129, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9984, recall: 0.714, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9042, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6233, kappa: 0.2445, kb_relative_information_score: 55.9478, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6234, predictive_accuracy: 0.624, prior_entropy: 0.9984, recall: 0.624, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9585, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6533, kappa: 0.3047, kb_relative_information_score: 152.8497, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6535, predictive_accuracy: 0.654, prior_entropy: 0.9984, recall: 0.654, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.1778, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.6157, kappa: 0.2293, kb_relative_information_score: 114.7241, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6156, predictive_accuracy: 0.616, prior_entropy: 0.9984, recall: 0.616, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2408, scimark_benchmark: 1472.8126, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8394, kappa: 0.678, kb_relative_information_score: 297.1307, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8416, predictive_accuracy: 0.84, prior_entropy: 0.9984, recall: 0.84, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7372, scimark_benchmark: 942.1157, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8821, kappa: 0.7642, kb_relative_information_score: 323.0257, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8842, predictive_accuracy: 0.882, prior_entropy: 0.9984, recall: 0.882, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5897, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8205, kappa: 0.6472, kb_relative_information_score: 333.8893, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8427, predictive_accuracy: 0.822, prior_entropy: 0.9984, recall: 0.822, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6888, 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: 0.5622, f_measure: 0.516, kappa: 0.1041, kb_relative_information_score: 40.4121, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5708, predictive_accuracy: 0.542, prior_entropy: 0.9984, recall: 0.542, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1581, scimark_benchmark: 1840.6094, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5627, kappa: 0.133, kb_relative_information_score: 36.9494, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5694, predictive_accuracy: 0.564, prior_entropy: 0.9984, recall: 0.564, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0062, scimark_benchmark: 1873.1108, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8881, kappa: 0.7758, kb_relative_information_score: 338.7627, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8886, predictive_accuracy: 0.888, prior_entropy: 0.9984, recall: 0.888, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5964, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5791, kappa: 0.1558, kb_relative_information_score: 40.2986, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.58, prior_entropy: 0.9984, recall: 0.58, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0533, scimark_benchmark: 1873.1108, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8494, kappa: 0.6981, kb_relative_information_score: 349.4976, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7755, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8494, kappa: 0.6981, kb_relative_information_score: 349.4976, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7755, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8494, kappa: 0.6981, kb_relative_information_score: 304.9584, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7103, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.6215, kappa: 0.2409, kb_relative_information_score: 120.7439, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6215, predictive_accuracy: 0.622, prior_entropy: 0.9984, recall: 0.622, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2311,

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