OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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173956 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.949, kappa: 0.8977, kb_relative_information_score: 0.8977, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9986, recall: 0.949, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8008, kappa: 0.6082, kb_relative_information_score: 0.6134, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8399, predictive_accuracy: 0.8073, prior_entropy: 0.9986, recall: 0.8073, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7364, kappa: 0.4988, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8334, predictive_accuracy: 0.7553, prior_entropy: 0.9986, recall: 0.7553, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.6995, kb_relative_information_score: 0.7032, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8841, predictive_accuracy: 0.852, prior_entropy: 0.9986, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.4239, kappa: 0.0675, kb_relative_information_score: 0.1038, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7592, predictive_accuracy: 0.5532, prior_entropy: 0.9986, recall: 0.5532, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6684, root_relative_squared_error: 1.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9439, kappa: 0.8876, kb_relative_information_score: 0.8877, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9444, predictive_accuracy: 0.944, prior_entropy: 0.9986, recall: 0.944, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9058, kappa: 0.8114, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9059, predictive_accuracy: 0.9058, prior_entropy: 0.9986, recall: 0.9058, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7364, kappa: 0.4988, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8334, predictive_accuracy: 0.7553, prior_entropy: 0.9986, recall: 0.7553, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8765, kappa: 0.7531, kb_relative_information_score: 0.7546, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8865, predictive_accuracy: 0.8777, prior_entropy: 0.9986, recall: 0.8777, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9603, kappa: 0.9203, kb_relative_information_score: 0.9203, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.3991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.383, kappa: 0.0246, kb_relative_information_score: 0.0643, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7536, predictive_accuracy: 0.5335, prior_entropy: 0.9986, recall: 0.5335, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 0.936, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9477, kappa: 0.8952, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9787, kappa: 0.9574, kb_relative_information_score: 0.9573, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 0.9986, recall: 0.9787, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.975, kappa: 0.9499, kb_relative_information_score: 0.9498, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 0.9404, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8054, kappa: 0.6157, kb_relative_information_score: 0.6203, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8368, predictive_accuracy: 0.8107, prior_entropy: 0.9986, recall: 0.8107, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9427, kappa: 0.8851, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9433, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9452, kappa: 0.8902, kb_relative_information_score: 0.8902, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 0.9986, recall: 0.9452, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7834, kappa: 0.5759, kb_relative_information_score: 0.582, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8292, predictive_accuracy: 0.7916, prior_entropy: 0.9986, recall: 0.7916, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 0.9887, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.1502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 0.99, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9502, kappa: 0.9002, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9986, recall: 0.9503, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9549, kappa: 0.9097, kb_relative_information_score: 0.9096, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.9986, recall: 0.9549, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9446, kappa: 0.8888, kb_relative_information_score: 0.8889, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9451, predictive_accuracy: 0.9446, prior_entropy: 0.9986, recall: 0.9446, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 0.995, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 0.9404, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9709, kappa: 0.9418, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9713, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9725, kappa: 0.9448, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9986, recall: 0.9725, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9118, kappa: 0.8232, kb_relative_information_score: 0.823, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 0.9986, recall: 0.9118, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.297, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9565, kappa: 0.9128, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9986, recall: 0.9565, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9683, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 0.9391, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 0.9986, recall: 0.9696, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 0.9404, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9891, kappa: 0.9781, kb_relative_information_score: 0.978, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.9986, recall: 0.989, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 0.951, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9757, predictive_accuracy: 0.9756, prior_entropy: 0.9986, recall: 0.9756, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9834, kappa: 0.9668, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9986, recall: 0.9834, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9168, kappa: 0.8332, kb_relative_information_score: 0.8331, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9168, predictive_accuracy: 0.9168, prior_entropy: 0.9986, recall: 0.9168, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 0.9711, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9986, recall: 0.9856, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9177, kappa: 0.835, kb_relative_information_score: 0.8349, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9177, predictive_accuracy: 0.9177, prior_entropy: 0.9986, recall: 0.9177, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 0.9479, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9689, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9844, kappa: 0.9687, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 0.9986, recall: 0.9844, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.9986, recall: 0.9894, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9872, kappa: 0.9743, kb_relative_information_score: 0.9743, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 0.9986, recall: 0.9872, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9602, kappa: 0.9202, kb_relative_information_score: 1307.1914, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9613, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6864, scimark_benchmark: 1267.7149, usercpu_time_millis: 95.215, usercpu_time_millis_testing: 7.719, usercpu_time_millis_training: 87.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 731.1644, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8486, scimark_benchmark: 1254.5944, usercpu_time_millis: 16.276, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 14.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 2862.616, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9986, recall: 0.9697, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2934, scimark_benchmark: 1235.8898, usercpu_time_millis: 5.139, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 4.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3043.7687, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1687, scimark_benchmark: 1227.2808, usercpu_time_millis: 196.642, usercpu_time_millis_testing: 8.879, usercpu_time_millis_training: 187.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3583, kb_relative_information_score: -0.0221, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1241.6599, usercpu_time_millis: 15.817, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 13.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3121.6774, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.127, scimark_benchmark: 1265.2047, usercpu_time_millis: 111.252, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 106.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3077.3356, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1647, scimark_benchmark: 1240.7679, usercpu_time_millis: 44.337, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 42.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2573.6389, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4164, scimark_benchmark: 1267.4216, usercpu_time_millis: 3.411, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 3.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3127.0086, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1324, scimark_benchmark: 1249.3228, usercpu_time_millis: 68.215, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 66.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9448, kappa: 0.8894, kb_relative_information_score: 2405.7296, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9457, predictive_accuracy: 0.9449, prior_entropy: 0.9986, recall: 0.9449, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4131, scimark_benchmark: 1244.101, usercpu_time_millis: 87.204, usercpu_time_millis_testing: 4.372, usercpu_time_millis_training: 82.832,

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