OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.7503, kappa: 0.7431, kb_relative_information_score: 1239.6848, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7634, predictive_accuracy: 0.7456, prior_entropy: 6.6439, recall: 0.7456, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6806, scimark_benchmark: 1254.1389, usercpu_time_millis: 735560, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 734790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7475, kappa: 0.7443, kb_relative_information_score: 1176.9312, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7609, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6945, scimark_benchmark: 473.1656, usercpu_time_millis: 2740, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8558, kappa: 0.8529, kb_relative_information_score: 1386.9936, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8621, predictive_accuracy: 0.8544, prior_entropy: 6.6439, recall: 0.8544, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.5234, scimark_benchmark: 1238.1515, usercpu_time_millis: 2940, usercpu_time_millis_testing: 2930, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.778, kappa: 0.7778, kb_relative_information_score: 1351.5506, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7828, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.5787, scimark_benchmark: 1230.3004, usercpu_time_millis: 730, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8558, kappa: 0.8529, kb_relative_information_score: 1386.9936, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8621, predictive_accuracy: 0.8544, prior_entropy: 6.6439, recall: 0.8544, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.5234, scimark_benchmark: 1230.3004, usercpu_time_millis: 2790, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.1906, kappa: 0.1932, kb_relative_information_score: 56.1277, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2761, predictive_accuracy: 0.2013, prior_entropy: 6.6439, recall: 0.2013, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9982, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.4783, kappa: 0.4729, kb_relative_information_score: 800.4324, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4908, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9713, scimark_benchmark: 1197.3315, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7475, kappa: 0.7443, kb_relative_information_score: 1176.9312, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7609, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6945, scimark_benchmark: 1235.9788, usercpu_time_millis: 740, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7946, kappa: 0.7948, kb_relative_information_score: 239.0698, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8047, predictive_accuracy: 0.7969, prior_entropy: 6.6439, recall: 0.7969, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917, scimark_benchmark: 1247.8226, usercpu_time_millis: 57970, usercpu_time_millis_testing: 37880, usercpu_time_millis_training: 20090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8363, kappa: 0.8365, kb_relative_information_score: 1414.0415, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8398, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.4984, scimark_benchmark: 476.3458, usercpu_time_millis: 734230, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 733630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.0468, kappa: 0.0814, kb_relative_information_score: 282.6271, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0583, predictive_accuracy: 0.0906, prior_entropy: 6.6439, recall: 0.0906, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9815, scimark_benchmark: 1229.4706, usercpu_time_millis: 352890, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 352620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.6713, kappa: 0.6768, kb_relative_information_score: 1223.3938, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6945, predictive_accuracy: 0.68, prior_entropy: 6.6439, recall: 0.68, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6687, scimark_benchmark: 1112.9152, usercpu_time_millis: 970, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4233, f_measure: 0.0005, kappa: -0.0038, kb_relative_information_score: 3.4419, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0003, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 488.7021, usercpu_time_millis: 24970, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 24920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5522, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965, scimark_benchmark: 803.565, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4239, f_measure: 0.0005, kappa: -0.0038, kb_relative_information_score: 3.4428, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0003, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001, scimark_benchmark: 923.4965, usercpu_time_millis: 26800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 26750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8056, kappa: 0.803, kb_relative_information_score: 1369.1249, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8136, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.5625, scimark_benchmark: 1189.7499, usercpu_time_millis: 5400, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.3992, kappa: 0.4059, kb_relative_information_score: 834.0628, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4096, predictive_accuracy: 0.4119, prior_entropy: 6.6439, recall: 0.4119, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182, scimark_benchmark: 894.8288, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7207, kappa: 0.7241, kb_relative_information_score: 1293.5732, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7337, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.6267, scimark_benchmark: 945.869, usercpu_time_millis: 1120, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7193, kappa: 0.7216, kb_relative_information_score: 1281.0538, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.736, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.6485, scimark_benchmark: 1079.0823, usercpu_time_millis: 900, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7192, kappa: 0.7197, kb_relative_information_score: 1286.1717, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7478, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.6111, scimark_benchmark: 1190.9935, usercpu_time_millis: 1270, usercpu_time_millis_testing: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7228, kappa: 0.7254, kb_relative_information_score: 1180.4993, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7339, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3295, kappa: -0.0101, kb_relative_information_score: 44.513, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, kappa: -0.0038, kb_relative_information_score: 5.8646, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8174, kappa: 0.8182, kb_relative_information_score: 0.9299, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8223, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7036, kappa: 0.7096, kb_relative_information_score: 1172.9036, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7063, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3209, kappa: -0.0101, kb_relative_information_score: 38.334, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.7129, kappa: 0.7197, kb_relative_information_score: 1154.9223, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7185, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3316, kb_relative_information_score: 12.2143, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7368, kappa: 0.7449, kb_relative_information_score: 1079.7812, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7547, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.825, kappa: 0.8201, kb_relative_information_score: 982.5484, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.836, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7274, kappa: 0.7235, kb_relative_information_score: 1309.9202, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7393, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.6902, kappa: 0.6831, kb_relative_information_score: 0.1448, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7122, predictive_accuracy: 0.6863, prior_entropy: 6.6439, recall: 0.6863, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8304, kappa: 0.8258, kb_relative_information_score: 990.3669, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8389, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.747, kappa: 0.7443, kb_relative_information_score: 903.9501, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7592, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, kappa: 0.0259, kb_relative_information_score: 29.9307, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0356, prior_entropy: 6.6439, recall: 0.0356, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.822, kappa: 0.8169, kb_relative_information_score: 985.3164, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8309, predictive_accuracy: 0.8188, prior_entropy: 6.6439, recall: 0.8188, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, kappa: 0.2146, kb_relative_information_score: 353.5868, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2225, prior_entropy: 6.6439, recall: 0.2225, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7869, kappa: 0.7607, kb_relative_information_score: 930.3185, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8264, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.7029, kappa: 0.7027, kb_relative_information_score: 1217.8247, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7087, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.6789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3594, kappa: -0.0051, kb_relative_information_score: 11.4487, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, kappa: 0.1856, kb_relative_information_score: 0.0283, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1938, prior_entropy: 6.6439, recall: 0.1938, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7524, kappa: 0.7525, kb_relative_information_score: 1231.3777, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7602, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.6503, kappa: 0.6711, kb_relative_information_score: 1029.5572, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8301, kappa: 0.8289, kb_relative_information_score: 0.4317, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8348, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, kappa: 0.0505, kb_relative_information_score: 91.8695, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.06, prior_entropy: 6.6439, recall: 0.06, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, kappa: 0.0991, kb_relative_information_score: 76.6562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1081, prior_entropy: 6.6439, recall: 0.1081, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8342, kappa: 0.8308, kb_relative_information_score: 946.9039, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8402, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.6074, kappa: 0.5934, kb_relative_information_score: 722.2301, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6364, predictive_accuracy: 0.5975, prior_entropy: 6.6439, recall: 0.5975, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7008, kappa: 0.7172, kb_relative_information_score: 978.9853, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7427, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8102, kappa: 0.8131, kb_relative_information_score: 1176.8069, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8182, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.071, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7005, kappa: 0.7071, kb_relative_information_score: 1148.5154, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4536, kappa: -0.0025, kb_relative_information_score: 49.5861, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.6792, kappa: 0.6875, kb_relative_information_score: 1111.5201, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6821, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.827, kappa: 0.827, kb_relative_information_score: 0.5516, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8326, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8281, kappa: 0.8239, kb_relative_information_score: 986.4566, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8363, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.5579, kappa: 0.5688, kb_relative_information_score: 0.2635, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5694, predictive_accuracy: 0.5731, prior_entropy: 6.6439, recall: 0.5731, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, kappa: 0.4602, kb_relative_information_score: 616.4819, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8042, kappa: 0.7992, kb_relative_information_score: 969.7931, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8144, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, kappa: 0.1654, kb_relative_information_score: 176.7798, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1738, prior_entropy: 6.6439, recall: 0.1738, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, kappa: -0.0044, kb_relative_information_score: 32.9589, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, kappa: 0.0025, kb_relative_information_score: 47.3374, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, kappa: 0.0297, kb_relative_information_score: 0.0292, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0394, prior_entropy: 6.6439, recall: 0.0394, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7948, kappa: 0.7879, kb_relative_information_score: 1368.8917, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8152, predictive_accuracy: 0.79, prior_entropy: 6.6439, recall: 0.79, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, kappa: 0.0322, kb_relative_information_score: 39.2351, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0419, prior_entropy: 6.6439, recall: 0.0419, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.6375, kappa: 0.6591, kb_relative_information_score: 914.3182, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6821, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8265, kappa: 0.8226, kb_relative_information_score: 982.53, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8348, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.5394, kappa: 0.5417, kb_relative_information_score: 66.314, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6031, predictive_accuracy: 0.5463, prior_entropy: 6.6439, recall: 0.5463, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, kappa: 0.0802, kb_relative_information_score: 142.7971, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0894, prior_entropy: 6.6439, recall: 0.0894, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.7732, kappa: 0.7689, kb_relative_information_score: 0.1896, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7859, predictive_accuracy: 0.7713, prior_entropy: 6.6439, recall: 0.7713, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8336, kappa: 0.8295, kb_relative_information_score: 991.2198, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.841, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8342, kappa: 0.8346, kb_relative_information_score: 1.1364, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 6.6439, recall: 0.8363, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.7452, kappa: 0.7481, kb_relative_information_score: 0.7703, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7488, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7856, kappa: 0.7816, kb_relative_information_score: 977.2482, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7961, predictive_accuracy: 0.7838, prior_entropy: 6.6439, recall: 0.7838, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7433, kappa: 0.7569, kb_relative_information_score: 1052.5876, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.6079, kappa: 0.5934, kb_relative_information_score: 823.7421, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.649, predictive_accuracy: 0.5975, prior_entropy: 6.6439, recall: 0.5975, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.5079, kappa: 0.5152, kb_relative_information_score: 639.7746, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5494, predictive_accuracy: 0.52, prior_entropy: 6.6439, recall: 0.52, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, kappa: 0.0025, kb_relative_information_score: 37.9686, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8281, kappa: 0.8308, kb_relative_information_score: 1198.3285, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8377, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.069, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.738, kappa: 0.7487, kb_relative_information_score: 1053.7498, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7657, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7217, kappa: 0.7367, kb_relative_information_score: 1025.1753, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7519, predictive_accuracy: 0.7394, prior_entropy: 6.6439, recall: 0.7394, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3481, kappa: -0.0101, kb_relative_information_score: 30.0532, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3292, kappa: -0.0032, kb_relative_information_score: 15.7212, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, kappa: 0.0025, kb_relative_information_score: 23.1686, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, kappa: 0.0025, kb_relative_information_score: 23.4064, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8178, kappa: 0.8144, kb_relative_information_score: 981.1285, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8273, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7858, kappa: 0.7803, kb_relative_information_score: 949.0919, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7988, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, kappa: 0.5783, kb_relative_information_score: 242.6477, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5825, prior_entropy: 6.6439, recall: 0.5825, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7412, kappa: 0.7468, kb_relative_information_score: 1106.4088, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7589, predictive_accuracy: 0.7494, prior_entropy: 6.6439, recall: 0.7494, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, kappa: 0.6402, kb_relative_information_score: 805.5914, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6438, prior_entropy: 6.6439, recall: 0.6438, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, kappa: 0.6256, kb_relative_information_score: 947.231, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6294, prior_entropy: 6.6439, recall: 0.6294, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.5968, kappa: 0.5903, kb_relative_information_score: 760.7253, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6496, predictive_accuracy: 0.5944, prior_entropy: 6.6439, recall: 0.5944, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.7161, kappa: 0.7191, kb_relative_information_score: 1202.2488, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.721, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, kappa: 0.0025, kb_relative_information_score: 12.2932, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7513, kappa: 0.7607, kb_relative_information_score: 1030.6846, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7712, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, kappa: 0.4817, kb_relative_information_score: 562.1994, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4869, prior_entropy: 6.6439, recall: 0.4869, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.6496, kappa: 0.6648, kb_relative_information_score: 767.2319, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6767, predictive_accuracy: 0.6681, prior_entropy: 6.6439, recall: 0.6681, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4227, kappa: 0.0025, kb_relative_information_score: 59.0597, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.7284, kappa: 0.7386, kb_relative_information_score: 1064.5046, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7503, predictive_accuracy: 0.7413, prior_entropy: 6.6439, recall: 0.7413, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7959,

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

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

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