Task
Supervised Classification on chscase_adopt

Supervised Classification on chscase_adopt

Task 3768 Supervised Classification chscase_adopt 111 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.6983, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 20.7644, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.1978, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 18.6989, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.8361, kappa: 0.602, kb_relative_information_score: 20.4699, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8499, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7436, kappa: 0.3981, kb_relative_information_score: 13.756, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 0.9012, recall: 0.7436, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.2847, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7486, kappa: 0.3874, kb_relative_information_score: 16.4696, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7606, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8361, kappa: 0.602, kb_relative_information_score: 17.8483, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8499, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8361, kappa: 0.602, kb_relative_information_score: 17.8483, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8499, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 17.9863, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8045, kappa: 0.5236, kb_relative_information_score: 14.5657, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8262, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 17.9863, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 12.3343, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.8702, kappa: 0.6919, kb_relative_information_score: 18.563, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8699, predictive_accuracy: 0.8718, prior_entropy: 0.9012, recall: 0.8718, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.7165, kappa: 0.3158, kb_relative_information_score: 5.1936, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8269, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3966, f_measure: 0.5664, kb_relative_information_score: -0.5038, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.866, kappa: 0.6766, kb_relative_information_score: 16.7824, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8735, predictive_accuracy: 0.8718, prior_entropy: 0.9012, recall: 0.8718, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.866, kappa: 0.6766, kb_relative_information_score: 16.7824, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8735, predictive_accuracy: 0.8718, prior_entropy: 0.9012, recall: 0.8718, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.866, kappa: 0.6766, kb_relative_information_score: 16.7824, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8735, predictive_accuracy: 0.8718, prior_entropy: 0.9012, recall: 0.8718, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 18.4228, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8224, kappa: 0.5882, kb_relative_information_score: 15.2589, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8254, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8045, kappa: 0.5236, kb_relative_information_score: 8.1351, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8262, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 20.4925, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 17.9863, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3858, f_measure: 0.5664, kb_relative_information_score: 0.3943, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4655, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7892, kappa: 0.4951, kb_relative_information_score: 17.6243, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7883, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.7144, kappa: 0.3223, kb_relative_information_score: 11.6074, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7118, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5128, kappa: 0.1512, kb_relative_information_score: -7.9876, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6909, predictive_accuracy: 0.5128, prior_entropy: 0.9012, recall: 0.5128, relative_absolute_error: 1.1339, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.698, root_relative_squared_error: 1.512, scimark_benchmark: 1280.301, usercpu_time_millis: 301703.125, usercpu_time_millis_training: 301703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 21.405, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9177, scimark_benchmark: 1280.301, usercpu_time_millis: 906.25, usercpu_time_millis_training: 906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5664, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5664, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 19.4574, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8038, scimark_benchmark: 1787.9841, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 19.4574, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8038, scimark_benchmark: 1675.1642, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5664, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1388.6186, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5664, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1386.3605, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5128, kappa: 0.1512, kb_relative_information_score: -7.9876, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6909, predictive_accuracy: 0.5128, prior_entropy: 0.9012, recall: 0.5128, relative_absolute_error: 1.1339, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.698, root_relative_squared_error: 1.512, scimark_benchmark: 1375.4149, usercpu_time_millis: 2840, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 21.405, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9177, scimark_benchmark: 1577.8799, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 17.4974, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7837, scimark_benchmark: 1671.2677, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.3964, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.8222, scimark_benchmark: 1376.2146, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.735, kappa: 0.3536, kb_relative_information_score: 10.686, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7756, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.87, scimark_benchmark: 1060.9535,
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: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 18.1748, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9186, scimark_benchmark: 1351.0338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.5706, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.379, root_relative_squared_error: 0.821, scimark_benchmark: 1333.9786, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.3182, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.799, scimark_benchmark: 1367.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7949, kappa: 0.5185, kb_relative_information_score: 17.9455, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7949, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9562, scimark_benchmark: 1344.4372, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7717, kappa: 0.4706, kb_relative_information_score: 16.2104, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7751, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0266, scimark_benchmark: 1187.5722, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.6338, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8802, scimark_benchmark: 684.6814, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 11.6074, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1504, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7486, kappa: 0.3874, kb_relative_information_score: 10.7499, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7606, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9691, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7663, kappa: 0.4455, kb_relative_information_score: 14.5389, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7645, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9274, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.0827, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8924, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 18.1748, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9186, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 11.6074, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1504, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.5706, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.379, root_relative_squared_error: 0.821, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.3182, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.799, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7949, kappa: 0.5185, kb_relative_information_score: 17.9455, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7949, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9562, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7717, kappa: 0.4706, kb_relative_information_score: 16.2104, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7751, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0266, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.6338, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8802, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7486, kappa: 0.3874, kb_relative_information_score: 10.7499, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7606, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9691, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7663, kappa: 0.4455, kb_relative_information_score: 14.5389, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7645, predictive_accuracy: 0.7692, prior_entropy: 0.9012, recall: 0.7692, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9274, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.0827, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8924, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.3182, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.799, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.6983, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8259, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 9.5752, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0702, 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: 0.7546, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.6185, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.916, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.6185, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.916, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.8232, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9163, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.541, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.877, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 9.2149, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0784, 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: 0.7762, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.6158, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7901, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, 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: 0.5231, f_measure: 0.6065, kappa: 0.0602, kb_relative_information_score: 9.158, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.6403, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2016, scimark_benchmark: 1492.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.8419, kappa: 0.6214, kb_relative_information_score: 18.3182, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.843, predictive_accuracy: 0.8462, prior_entropy: 0.9012, recall: 0.8462, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.799, scimark_benchmark: 1534.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 16.6338, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8802, scimark_benchmark: 992.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 11.6074, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1504, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6535, kappa: 0.1637, kb_relative_information_score: 11.6074, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7051, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.1504, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 18.7199, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8711, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7709, kappa: 0.4409, kb_relative_information_score: 17.9863, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8019, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9091, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.9243, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8475, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8124, kappa: 0.5473, kb_relative_information_score: 20.1978, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8162, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8859, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.6225, kappa: 0.1118, kb_relative_information_score: 1.2663, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7996, predictive_accuracy: 0.7179, prior_entropy: 0.9012, recall: 0.7179, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9752, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8045, kappa: 0.5236, kb_relative_information_score: 8.1351, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.8262, predictive_accuracy: 0.8205, prior_entropy: 0.9012, recall: 0.8205, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8581, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3966, f_measure: 0.5664, kb_relative_information_score: 0.1181, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0055, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3966, f_measure: 0.5664, kb_relative_information_score: 0.1181, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.4793, predictive_accuracy: 0.6923, prior_entropy: 0.9012, recall: 0.6923, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0055, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7365, kappa: 0.3689, kb_relative_information_score: 13.289, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7337, predictive_accuracy: 0.7436, prior_entropy: 0.9012, recall: 0.7436, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0429, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7949, kappa: 0.5185, kb_relative_information_score: 17.9455, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7949, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9562, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7814, kappa: 0.4694, kb_relative_information_score: 14.5011, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4296, number_of_instances: 39, precision: 0.7891, predictive_accuracy: 0.7949, prior_entropy: 0.9012, recall: 0.7949, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4616, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9294, 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