OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

19004 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.7339, kappa: 0.1371, kb_relative_information_score: 67.1286, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7308, predictive_accuracy: 0.7372, prior_entropy: 0.7088, recall: 0.7372, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.7154, kappa: 0.0825, kb_relative_information_score: -757.0265, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7137, predictive_accuracy: 0.7171, prior_entropy: 0.7088, recall: 0.7171, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.7321, kappa: 0.0415, kb_relative_information_score: 3053.7458, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8097, prior_entropy: 0.7088, recall: 0.8097, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.7306, kappa: 0.0361, kb_relative_information_score: 3034.8431, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8093, prior_entropy: 0.7088, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.7118, kappa: 0.0804, kb_relative_information_score: -1025.444, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.713, predictive_accuracy: 0.7106, prior_entropy: 0.7088, recall: 0.7106, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.771, kappa: 0.1992, kb_relative_information_score: 2755.0841, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7644, predictive_accuracy: 0.8025, prior_entropy: 0.7088, recall: 0.8025, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.7062, kappa: 0.0612, kb_relative_information_score: -1240.9341, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.707, predictive_accuracy: 0.7054, prior_entropy: 0.7088, recall: 0.7054, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.7235, kappa: 0.0116, kb_relative_information_score: 2970.5742, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8143, predictive_accuracy: 0.8077, prior_entropy: 0.7088, recall: 0.8077, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.7556, kappa: 0.1694, kb_relative_information_score: 1598.2425, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7441, predictive_accuracy: 0.7744, prior_entropy: 0.7088, recall: 0.7744, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.475, root_relative_squared_error: 1.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7245, kappa: 0.0151, kb_relative_information_score: 2970.5742, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.789, predictive_accuracy: 0.8077, prior_entropy: 0.7088, recall: 0.8077, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.731, kappa: 0.0374, kb_relative_information_score: 3049.9653, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7935, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.7132, kappa: 0.0755, kb_relative_information_score: -843.9787, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7115, predictive_accuracy: 0.715, prior_entropy: 0.7088, recall: 0.715, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.7669, kappa: 0.1777, kb_relative_information_score: 2876.061, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7639, predictive_accuracy: 0.8054, prior_entropy: 0.7088, recall: 0.8054, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4411, root_relative_squared_error: 1.1167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.759, kappa: 0.1395, kb_relative_information_score: 3220.089, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8138, prior_entropy: 0.7088, recall: 0.8138, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.7574, kappa: 0.2226, kb_relative_information_score: 902.6253, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7574, predictive_accuracy: 0.7575, prior_entropy: 0.7088, recall: 0.7575, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.6902, kappa: 0.0068, kb_relative_information_score: -1860.9407, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.69, predictive_accuracy: 0.6903, prior_entropy: 0.7088, recall: 0.6903, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5565, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.7466, kappa: 0.1856, kb_relative_information_score: 490.5477, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7459, predictive_accuracy: 0.7475, prior_entropy: 0.7088, recall: 0.7475, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.7723, kappa: 0.1902, kb_relative_information_score: 3378.8712, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.427, root_relative_squared_error: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.7112, kappa: 0.072, kb_relative_information_score: -968.7361, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7104, predictive_accuracy: 0.712, prior_entropy: 0.7088, recall: 0.712, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.7439, kappa: 0.1249, kb_relative_information_score: 1250.4339, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.73, predictive_accuracy: 0.7659, prior_entropy: 0.7088, recall: 0.7659, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.7515, kappa: 0.1618, kb_relative_information_score: 1310.9223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7406, predictive_accuracy: 0.7674, prior_entropy: 0.7088, recall: 0.7674, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.7395, kappa: 0.136, kb_relative_information_score: 592.622, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7311, predictive_accuracy: 0.7499, prior_entropy: 0.7088, recall: 0.7499, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.7735, kappa: 0.2025, kb_relative_information_score: 3031.0626, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7718, predictive_accuracy: 0.8092, prior_entropy: 0.7088, recall: 0.8092, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4368, root_relative_squared_error: 1.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.7413, kappa: 0.1689, kb_relative_information_score: 267.4966, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7406, predictive_accuracy: 0.742, prior_entropy: 0.7088, recall: 0.742, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.696, kappa: 0.0274, kb_relative_information_score: -1641.6701, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6965, predictive_accuracy: 0.6956, prior_entropy: 0.7088, recall: 0.6956, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.7101, kappa: 0.0703, kb_relative_information_score: -1036.7856, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7099, predictive_accuracy: 0.7103, prior_entropy: 0.7088, recall: 0.7103, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.6965, kappa: 0.0272, kb_relative_information_score: -1603.8648, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6964, predictive_accuracy: 0.6966, prior_entropy: 0.7088, recall: 0.6966, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.7108, kappa: 0.0725, kb_relative_information_score: -1002.7609, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7105, predictive_accuracy: 0.7112, prior_entropy: 0.7088, recall: 0.7112, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.7145, kappa: 0.0806, kb_relative_information_score: -802.3929, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7131, predictive_accuracy: 0.716, prior_entropy: 0.7088, recall: 0.716, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7575, kappa: 0.1337, kb_relative_information_score: 3212.528, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8136, prior_entropy: 0.7088, recall: 0.8136, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.729, kappa: 0.0306, kb_relative_information_score: 3034.8431, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7997, predictive_accuracy: 0.8093, prior_entropy: 0.7088, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.763, kappa: 0.1541, kb_relative_information_score: 3303.2606, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.7312, kappa: 0.0383, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7897, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.7308, kappa: 0.0367, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7927, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 2951.6715, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.439, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.7233, kappa: 0.0109, kb_relative_information_score: 2966.7936, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8126, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.7332, kappa: 0.1451, kb_relative_information_score: -95.4341, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7332, predictive_accuracy: 0.7332, prior_entropy: 0.7088, recall: 0.7332, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.7095, kappa: 0.0637, kb_relative_information_score: -1002.7609, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7078, predictive_accuracy: 0.7112, prior_entropy: 0.7088, recall: 0.7112, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.7052, kappa: 0.0481, kb_relative_information_score: -1150.2015, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7029, predictive_accuracy: 0.7076, prior_entropy: 0.7088, recall: 0.7076, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.7164, kappa: 0.0902, kb_relative_information_score: -775.9292, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7161, predictive_accuracy: 0.7167, prior_entropy: 0.7088, recall: 0.7167, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.3475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7368, kappa: 0.1405, kb_relative_information_score: 275.0576, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.732, predictive_accuracy: 0.7422, prior_entropy: 0.7088, recall: 0.7422, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.679, kappa: -0.0275, kb_relative_information_score: -2341.0678, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6793, predictive_accuracy: 0.6786, prior_entropy: 0.7088, recall: 0.6786, relative_absolute_error: 1.0296, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5669, root_relative_squared_error: 1.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.7526, kappa: 0.1382, kb_relative_information_score: 2002.759, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7394, predictive_accuracy: 0.7842, prior_entropy: 0.7088, recall: 0.7842, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.7092, kappa: 0.0672, kb_relative_information_score: -1070.8104, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7089, predictive_accuracy: 0.7095, prior_entropy: 0.7088, recall: 0.7095, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.539, root_relative_squared_error: 1.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.7351, kappa: 0.1501, kb_relative_information_score: -4.7015, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7347, predictive_accuracy: 0.7354, prior_entropy: 0.7088, recall: 0.7354, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.7218, kappa: 0.0057, kb_relative_information_score: 2944.1105, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8057, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.7398, kappa: 0.0685, kb_relative_information_score: 3136.9174, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8118, prior_entropy: 0.7088, recall: 0.8118, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4339, root_relative_squared_error: 1.0983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.7391, kappa: 0.066, kb_relative_information_score: 3106.6732, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.7461, kappa: 0.0912, kb_relative_information_score: 3095.3316, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.772, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.435, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.7221, kappa: 0.0069, kb_relative_information_score: 2955.452, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8445, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.7096, kappa: 0.0601, kb_relative_information_score: -946.0529, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7067, predictive_accuracy: 0.7125, prior_entropy: 0.7088, recall: 0.7125, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.7549, kappa: 0.1332, kb_relative_information_score: 2543.3745, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7471, predictive_accuracy: 0.7973, prior_entropy: 0.7088, recall: 0.7973, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.7236, kappa: 0.1103, kb_relative_information_score: -435.6817, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7223, predictive_accuracy: 0.7249, prior_entropy: 0.7088, recall: 0.7249, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.7233, kappa: 0.0109, kb_relative_information_score: 2966.7936, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8126, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.7336, kappa: 0.0465, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.7434, kappa: 0.1588, kb_relative_information_score: 588.8415, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7378, predictive_accuracy: 0.7498, prior_entropy: 0.7088, recall: 0.7498, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.7271, kappa: 0.0239, kb_relative_information_score: 3012.16, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8019, predictive_accuracy: 0.8087, prior_entropy: 0.7088, recall: 0.8087, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4373, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.7651, kappa: 0.1624, kb_relative_information_score: 3280.5775, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.7227, kappa: 0.0088, kb_relative_information_score: 2959.2326, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.817, predictive_accuracy: 0.8074, prior_entropy: 0.7088, recall: 0.8074, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.7245, kappa: 0.0149, kb_relative_information_score: 2978.1352, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8021, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.7575, kappa: 0.2227, kb_relative_information_score: 906.4058, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7574, predictive_accuracy: 0.7576, prior_entropy: 0.7088, recall: 0.7576, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.7335, kappa: 0.0464, kb_relative_information_score: 3065.0874, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.1034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.7569, kappa: 0.1612, kb_relative_information_score: 1938.49, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7445, predictive_accuracy: 0.7826, prior_entropy: 0.7088, recall: 0.7826, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.7125, kappa: 0.0749, kb_relative_information_score: -893.1256, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7113, predictive_accuracy: 0.7138, prior_entropy: 0.7088, recall: 0.7138, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.535, root_relative_squared_error: 1.3542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 2951.6715, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.439, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.7042, kappa: 0.0502, kb_relative_information_score: -1263.6173, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7036, predictive_accuracy: 0.7048, prior_entropy: 0.7088, recall: 0.7048, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, f_measure: 0.7265, kappa: 0.1218, kb_relative_information_score: -348.7295, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7259, predictive_accuracy: 0.7271, prior_entropy: 0.7088, recall: 0.7271, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.7237, kappa: 0.1135, kb_relative_information_score: -473.4869, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7233, predictive_accuracy: 0.724, prior_entropy: 0.7088, recall: 0.724, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.3299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.7439, kappa: 0.1263, kb_relative_information_score: 1223.9702, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7303, predictive_accuracy: 0.7653, prior_entropy: 0.7088, recall: 0.7653, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.2265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.7012, kappa: 0.0444, kb_relative_information_score: -1433.7411, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7018, predictive_accuracy: 0.7007, prior_entropy: 0.7088, recall: 0.7007, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.7088, kappa: 0.0631, kb_relative_information_score: -1051.9077, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7076, predictive_accuracy: 0.71, prior_entropy: 0.7088, recall: 0.71, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.7313, kappa: 0.0387, kb_relative_information_score: 3042.4042, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8095, prior_entropy: 0.7088, recall: 0.8095, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4365, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.7598, kappa: 0.146, kb_relative_information_score: 2959.2326, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7629, predictive_accuracy: 0.8074, prior_entropy: 0.7088, recall: 0.8074, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.7455, kappa: 0.155, kb_relative_information_score: 842.1368, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7371, predictive_accuracy: 0.756, prior_entropy: 0.7088, recall: 0.756, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.494, root_relative_squared_error: 1.2505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.7608, kappa: 0.1773, kb_relative_information_score: 2014.1006, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7492, predictive_accuracy: 0.7845, prior_entropy: 0.7088, recall: 0.7845, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.7313, kappa: 0.0385, kb_relative_information_score: 3049.9653, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.7229, kappa: 0.0094, kb_relative_information_score: 2959.2326, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8084, predictive_accuracy: 0.8074, prior_entropy: 0.7088, recall: 0.8074, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.7423, kappa: 0.0774, kb_relative_information_score: 3148.259, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.812, prior_entropy: 0.7088, recall: 0.812, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4335, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.7015, kappa: 0.0355, kb_relative_information_score: -1297.6421, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.699, predictive_accuracy: 0.704, prior_entropy: 0.7088, recall: 0.704, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.7375, kappa: 0.1563, kb_relative_information_score: 112.4949, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7367, predictive_accuracy: 0.7383, prior_entropy: 0.7088, recall: 0.7383, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.7324, kappa: 0.1315, kb_relative_information_score: 21.7622, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.729, predictive_accuracy: 0.7361, prior_entropy: 0.7088, recall: 0.7361, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.3006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.7425, kappa: 0.096, kb_relative_information_score: 1862.8794, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7263, predictive_accuracy: 0.7808, prior_entropy: 0.7088, recall: 0.7808, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.6986, kappa: 0.0302, kb_relative_information_score: -1463.9853, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6973, predictive_accuracy: 0.7, prior_entropy: 0.7088, recall: 0.7, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.745, kappa: 0.1151, kb_relative_information_score: 1624.7062, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7296, predictive_accuracy: 0.775, prior_entropy: 0.7088, recall: 0.775, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.7699, kappa: 0.1853, kb_relative_information_score: 3099.1121, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7723, predictive_accuracy: 0.8108, prior_entropy: 0.7088, recall: 0.8108, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.7371, kappa: 0.0588, kb_relative_information_score: 3080.2095, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8104, prior_entropy: 0.7088, recall: 0.8104, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.7544, kappa: 0.1562, kb_relative_information_score: 1753.2441, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7416, predictive_accuracy: 0.7781, prior_entropy: 0.7088, recall: 0.7781, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.471, root_relative_squared_error: 1.1924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.7261, kappa: 0.0205, kb_relative_information_score: 3000.8184, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8037, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.721, kappa: 0.0031, kb_relative_information_score: 2936.5494, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8442, predictive_accuracy: 0.8069, prior_entropy: 0.7088, recall: 0.8069, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.7317, kappa: 0.04, kb_relative_information_score: 3057.5263, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7929, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.7373, kappa: 0.1278, kb_relative_information_score: 520.792, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7285, predictive_accuracy: 0.7482, prior_entropy: 0.7088, recall: 0.7482, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.2703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.7613, kappa: 0.1995, kb_relative_information_score: 1602.023, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7521, predictive_accuracy: 0.7745, prior_entropy: 0.7088, recall: 0.7745, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.7316, kappa: 0.0398, kb_relative_information_score: 3053.7458, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8097, prior_entropy: 0.7088, recall: 0.8097, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1042,

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