Task
Supervised Classification on analcatdata_michiganacc

Supervised Classification on analcatdata_michiganacc

Task 3637 Supervised Classification analcatdata_michiganacc 453 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7083, kappa: 0.4156, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7402, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6375, kappa: 0.2642, kb_relative_information_score: 21.1979, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.637, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.6979, kappa: 0.3872, kb_relative_information_score: 32.9459, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7047, predictive_accuracy: 0.7037, prior_entropy: 0.9914, recall: 0.7037, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.3968, kb_relative_information_score: -0.0379, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9914, recall: 0.5556, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.6908, kappa: 0.3721, kb_relative_information_score: 26.2189, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6932, predictive_accuracy: 0.6944, prior_entropy: 0.9914, recall: 0.6944, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6721, kappa: 0.334, kb_relative_information_score: 32.3946, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6741, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6932, kappa: 0.3774, kb_relative_information_score: 21.9491, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6931, predictive_accuracy: 0.6944, prior_entropy: 0.9914, recall: 0.6944, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.6412, kappa: 0.2723, kb_relative_information_score: 17.6764, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6458, predictive_accuracy: 0.6481, prior_entropy: 0.9914, recall: 0.6481, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 4.56, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 3.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6375, kappa: 0.2642, kb_relative_information_score: 21.1979, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.637, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 10.296, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9914, recall: 0.5556, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6375, kappa: 0.2642, kb_relative_information_score: 21.1979, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.637, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.7196, kappa: 0.4304, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7215, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.6721, kappa: 0.334, kb_relative_information_score: 32.4906, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6741, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 40.2718, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6932, kappa: 0.3774, kb_relative_information_score: 21.9491, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6931, predictive_accuracy: 0.6944, prior_entropy: 0.9914, recall: 0.6944, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.6648, kappa: 0.3193, kb_relative_information_score: 30.649, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6648, predictive_accuracy: 0.6667, prior_entropy: 0.9914, recall: 0.6667, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6844, kappa: 0.3598, kb_relative_information_score: 35.0005, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6841, predictive_accuracy: 0.6852, prior_entropy: 0.9914, recall: 0.6852, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6932, kappa: 0.3774, kb_relative_information_score: 40.8177, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6931, predictive_accuracy: 0.6944, prior_entropy: 0.9914, recall: 0.6944, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1124, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6676, kappa: 0.3306, kb_relative_information_score: 34.7133, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6703, predictive_accuracy: 0.6667, prior_entropy: 0.9914, recall: 0.6667, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1619, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7183, kappa: 0.428, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6769, kappa: 0.3505, kb_relative_information_score: 36.7481, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6808, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.1456, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7383, kappa: 0.4684, kb_relative_information_score: 50.9915, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7405, predictive_accuracy: 0.7407, prior_entropy: 0.9914, recall: 0.7407, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0247, usercpu_time_millis: 1.297, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 44.8872, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0782, usercpu_time_millis: 8.592, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 6.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7778, kappa: 0.55, kb_relative_information_score: 59.1306, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9914, recall: 0.7778, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9487, usercpu_time_millis: 6.233, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 6.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7579, kappa: 0.5084, kb_relative_information_score: 55.0611, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7587, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9874, usercpu_time_millis: 14.245, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 13.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.7207, kappa: 0.4328, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7211, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 44.8872, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0782, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7481, kappa: 0.4884, kb_relative_information_score: 53.0263, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9914, recall: 0.75, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 44.8872, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0782, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.6287, kappa: 0.2469, kb_relative_information_score: 26.5742, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6283, predictive_accuracy: 0.6296, prior_entropy: 0.9914, recall: 0.6296, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2247, usercpu_time_millis: 3.381, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 3.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.6619, kappa: 0.3136, kb_relative_information_score: 34.7133, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6647, predictive_accuracy: 0.6667, prior_entropy: 0.9914, recall: 0.6667, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1619, usercpu_time_millis: 0.067, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7304, kappa: 0.4528, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7305, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6888, kappa: 0.3766, kb_relative_information_score: 42.8524, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7182, predictive_accuracy: 0.7037, prior_entropy: 0.9914, recall: 0.7037, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0954, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 44.8872, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0782, usercpu_time_millis: 297.382, usercpu_time_millis_testing: 3.362, usercpu_time_millis_training: 294.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 9.033, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 7.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 12.828, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 10.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7304, kappa: 0.4528, kb_relative_information_score: 32.4547, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7305, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6092, kappa: 0.2099, kb_relative_information_score: 22.8918, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6167, predictive_accuracy: 0.6204, prior_entropy: 0.9914, recall: 0.6204, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.963, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7304, kappa: 0.4528, kb_relative_information_score: 32.4547, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7305, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6092, kappa: 0.2099, kb_relative_information_score: 22.8918, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6167, predictive_accuracy: 0.6204, prior_entropy: 0.9914, recall: 0.6204, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.963, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7215, kappa: 0.4351, kb_relative_information_score: 42.705, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7214, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.639, kappa: 0.2692, kb_relative_information_score: 22.221, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6466, predictive_accuracy: 0.6481, prior_entropy: 0.9914, recall: 0.6481, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6639, kappa: 0.3226, kb_relative_information_score: 36.7481, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6801, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.1456, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 44.8872, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0782, usercpu_time_millis: 8.793, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 8.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.6908, kappa: 0.3721, kb_relative_information_score: 32.954, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6932, predictive_accuracy: 0.6944, prior_entropy: 0.9914, recall: 0.6944, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6748, kappa: 0.3433, kb_relative_information_score: 20.8546, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6891, predictive_accuracy: 0.6852, prior_entropy: 0.9914, recall: 0.6852, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9192, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6509, kappa: 0.3107, kb_relative_information_score: 31.3726, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6992, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0168, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6509, kappa: 0.3107, kb_relative_information_score: 31.3726, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6992, predictive_accuracy: 0.6759, prior_entropy: 0.9914, recall: 0.6759, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0168, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6834, kappa: 0.3571, kb_relative_information_score: 38.7829, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6836, predictive_accuracy: 0.6852, prior_entropy: 0.9914, recall: 0.6852, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1292, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.6255, kappa: 0.2452, kb_relative_information_score: 28.609, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6384, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2093, usercpu_time_millis: 0.588, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 55.0611, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9874, usercpu_time_millis: 0.686, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6473, kappa: 0.2869, kb_relative_information_score: 32.6786, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6574, predictive_accuracy: 0.6574, prior_entropy: 0.9914, recall: 0.6574, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5853, root_relative_squared_error: 1.1779, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 5.375, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 4.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 10.296, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9914, recall: 0.5556, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.702, kappa: 0.395, kb_relative_information_score: 36.5316, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7023, predictive_accuracy: 0.7037, prior_entropy: 0.9914, recall: 0.7037, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.7222, kappa: 0.4375, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7222, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 48.9568, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0428, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7037, kappa: 0.4, kb_relative_information_score: 42.8524, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7037, predictive_accuracy: 0.7037, prior_entropy: 0.9914, recall: 0.7037, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0954, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7312, kappa: 0.4551, kb_relative_information_score: 40.1234, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.731, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.7493, kappa: 0.4957, kb_relative_information_score: 38.5751, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.777, predictive_accuracy: 0.7593, prior_entropy: 0.9914, recall: 0.7593, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7108, kappa: 0.4126, kb_relative_information_score: 34.6238, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7118, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6362, kappa: 0.2611, kb_relative_information_score: 17.6169, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.6363, predictive_accuracy: 0.6389, prior_entropy: 0.9914, recall: 0.6389, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.727, kappa: 0.4459, kb_relative_information_score: 38.2622, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7331, predictive_accuracy: 0.7315, prior_entropy: 0.9914, recall: 0.7315, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7126, kappa: 0.4175, kb_relative_information_score: 18.8852, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7124, predictive_accuracy: 0.713, prior_entropy: 0.9914, recall: 0.713, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8979,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs