Task
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 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: 0.9847, kappa: 0.5284, kb_relative_information_score: 1001.9251, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5331, prior_entropy: 6.6439, recall: 0.5331, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, kappa: 0.3396, kb_relative_information_score: 862.8113, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3463, prior_entropy: 6.6439, recall: 0.3463, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.6152, kappa: 0.6326, kb_relative_information_score: 1084.829, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6358, predictive_accuracy: 0.6363, prior_entropy: 6.6439, recall: 0.6363, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.6911, kappa: 0.7134, kb_relative_information_score: 897.1829, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7374, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.6723, kappa: 0.6755, kb_relative_information_score: 1153.2174, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6851, predictive_accuracy: 0.6788, prior_entropy: 6.6439, recall: 0.6788, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.6898, kappa: 0.7071, kb_relative_information_score: 964.1671, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7219, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7824, kappa: 0.7929, kb_relative_information_score: 901.8559, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8045, predictive_accuracy: 0.795, prior_entropy: 6.6439, recall: 0.795, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7848, kappa: 0.7936, kb_relative_information_score: 1042.2505, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8009, predictive_accuracy: 0.7956, prior_entropy: 6.6439, recall: 0.7956, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.6207, kappa: 0.6458, kb_relative_information_score: 1057.4647, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6584, predictive_accuracy: 0.6494, prior_entropy: 6.6439, recall: 0.6494, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.6326, kb_relative_information_score: 919.0314, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6363, prior_entropy: 6.6439, recall: 0.6363, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7906, kappa: 0.7961, kb_relative_information_score: 1136.7201, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8039, predictive_accuracy: 0.7981, prior_entropy: 6.6439, recall: 0.7981, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7876, kappa: 0.7961, kb_relative_information_score: 869.5188, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8059, predictive_accuracy: 0.7981, prior_entropy: 6.6439, recall: 0.7981, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7411, kappa: 0.7481, kb_relative_information_score: 1105.8153, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7609, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.816, kappa: 0.8182, kb_relative_information_score: 1146.6902, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8237, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7237, kappa: 0.7355, kb_relative_information_score: 1039.1278, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7418, predictive_accuracy: 0.7381, prior_entropy: 6.6439, recall: 0.7381, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6749, kappa: 0.6919, kb_relative_information_score: 957.8616, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, kappa: 0.5385, kb_relative_information_score: 997.8708, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5431, prior_entropy: 6.6439, recall: 0.5431, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7989, kappa: 0.8024, kb_relative_information_score: 1188.4891, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8122, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.07, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8076, kappa: 0.8119, kb_relative_information_score: 1110.9296, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8226, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.6994, kappa: 0.7128, kb_relative_information_score: 1071.8568, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7124, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6523, kappa: 0.6698, kb_relative_information_score: 965.0306, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6915, predictive_accuracy: 0.6731, prior_entropy: 6.6439, recall: 0.6731, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7725, kappa: 0.7778, kb_relative_information_score: 1092.6453, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7916, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7312, kappa: 0.7393, kb_relative_information_score: 1087.1895, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7476, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8297, kappa: 0.8327, kb_relative_information_score: 1208.4729, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8367, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.825, kappa: 0.8289, kb_relative_information_score: 1183.4962, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7948, kappa: 0.8018, kb_relative_information_score: 1128.1582, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8058, predictive_accuracy: 0.8038, prior_entropy: 6.6439, recall: 0.8038, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8057, kappa: 0.8056, kb_relative_information_score: 1212.7612, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.815, predictive_accuracy: 0.8075, prior_entropy: 6.6439, recall: 0.8075, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.6647, kappa: 0.6843, kb_relative_information_score: 896.2729, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7093, predictive_accuracy: 0.6875, prior_entropy: 6.6439, recall: 0.6875, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7904, kappa: 0.7992, kb_relative_information_score: 1064.692, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8038, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.6585, kappa: 0.6736, kb_relative_information_score: 971.8288, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7026, predictive_accuracy: 0.6769, prior_entropy: 6.6439, recall: 0.6769, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8062, kappa: 0.8119, kb_relative_information_score: 918.5238, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8168, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.8453, 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: 0.9968, f_measure: 0.8311, kappa: 0.8352, kb_relative_information_score: 1022.0767, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8432, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.843, kappa: 0.8453, kb_relative_information_score: 1201.8355, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8485, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.78, kappa: 0.7866, kb_relative_information_score: 1167.5335, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7894, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.6401, kappa: 0.6496, kb_relative_information_score: 1125.5096, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6451, predictive_accuracy: 0.6531, prior_entropy: 6.6439, recall: 0.6531, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.785, kappa: 0.7923, kb_relative_information_score: 1141.9065, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7944, prior_entropy: 6.6439, recall: 0.7944, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.7962, kappa: 0.8018, kb_relative_information_score: 1124.3731, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8042, predictive_accuracy: 0.8038, prior_entropy: 6.6439, recall: 0.8038, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6958, kappa: 0.702, kb_relative_information_score: 1161.5071, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7089, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.6409, kappa: 0.6604, kb_relative_information_score: 1012.209, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6867, predictive_accuracy: 0.6638, prior_entropy: 6.6439, recall: 0.6638, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.5478, kappa: 0.5631, kb_relative_information_score: 1067.2393, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5558, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6764, kappa: 0.6976, kb_relative_information_score: 970.6575, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7167, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8076, kappa: 0.8112, kb_relative_information_score: 1180.143, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8161, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6728, kappa: 0.6888, kb_relative_information_score: 981.401, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.712, predictive_accuracy: 0.6919, prior_entropy: 6.6439, recall: 0.6919, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8077, kappa: 0.8138, kb_relative_information_score: 959.2763, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8218, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7851, kappa: 0.7923, kb_relative_information_score: 1165.3604, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7931, predictive_accuracy: 0.7944, prior_entropy: 6.6439, recall: 0.7944, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8312, kappa: 0.8365, kb_relative_information_score: 1050.8384, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8394, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, kappa: 0.4994, kb_relative_information_score: 1007.5473, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5044, prior_entropy: 6.6439, recall: 0.5044, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8058, kappa: 0.8138, kb_relative_information_score: 1027.5201, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8244, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, kappa: 0.3333, kb_relative_information_score: 843.3685, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.8016, kappa: 0.803, kb_relative_information_score: 1198.1551, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8092, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7338, kappa: 0.7374, kb_relative_information_score: 1176.9228, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7459, predictive_accuracy: 0.74, prior_entropy: 6.6439, recall: 0.74, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7526, kappa: 0.7563, kb_relative_information_score: 1132.6677, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7649, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8193, kappa: 0.8264, kb_relative_information_score: 1073.1069, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8279, predictive_accuracy: 0.8281, prior_entropy: 6.6439, recall: 0.8281, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8212, kappa: 0.8258, kb_relative_information_score: 1124.6004, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8298, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7538, kappa: 0.7664, kb_relative_information_score: 960.2261, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7745, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, kappa: 0.4261, kb_relative_information_score: 963.3332, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4319, prior_entropy: 6.6439, recall: 0.4319, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.6209, kappa: 0.6282, kb_relative_information_score: 1130.4167, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6358, predictive_accuracy: 0.6319, prior_entropy: 6.6439, recall: 0.6319, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.6484, kb_relative_information_score: 979.0474, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7803, kappa: 0.7904, kb_relative_information_score: 1073.5815, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.799, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.5593, kb_relative_information_score: 1001.5394, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5638, prior_entropy: 6.6439, recall: 0.5638, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6459, kappa: 0.666, kb_relative_information_score: 956.4033, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.679, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8077, kappa: 0.8106, kb_relative_information_score: 1225.5615, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8153, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7473, kappa: 0.7614, kb_relative_information_score: 734.0684, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.778, predictive_accuracy: 0.7638, prior_entropy: 6.6439, recall: 0.7638, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7643, kappa: 0.7778, kb_relative_information_score: 786.522, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7896, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, 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, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.6065, kappa: 0.6143, kb_relative_information_score: 1120.3599, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6196, predictive_accuracy: 0.6181, prior_entropy: 6.6439, recall: 0.6181, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, kappa: 0.6843, kb_relative_information_score: 911.5661, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6875, prior_entropy: 6.6439, recall: 0.6875, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7425, kappa: 0.7481, kb_relative_information_score: 1109.1208, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7559, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7621, kappa: 0.7721, kb_relative_information_score: 1056.6672, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7775, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7313, kappa: 0.7449, kb_relative_information_score: 972.7293, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7545, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7352, kappa: 0.75, kb_relative_information_score: 889.5919, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7673, predictive_accuracy: 0.7525, prior_entropy: 6.6439, recall: 0.7525, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8009, kappa: 0.8049, kb_relative_information_score: 1175.8538, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8086, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, kappa: 0.0101, kb_relative_information_score: 28.578, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.02, prior_entropy: 6.6439, recall: 0.02, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.14, root_relative_squared_error: 1.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.5311, kappa: 0.5259, kb_relative_information_score: 1097.56, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5407, predictive_accuracy: 0.5306, prior_entropy: 6.6439, recall: 0.5306, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.6164, kappa: 0.625, kb_relative_information_score: 1119.7532, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6336, predictive_accuracy: 0.6288, prior_entropy: 6.6439, recall: 0.6288, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7983, kappa: 0.803, kb_relative_information_score: 1160.6316, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8067, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7096, kappa: 0.7159, kb_relative_information_score: 1152.7459, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7235, predictive_accuracy: 0.7188, prior_entropy: 6.6439, recall: 0.7188, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, kb_relative_information_score: 59.4791, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0997, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.5173, kappa: 0.5158, kb_relative_information_score: 841.1277, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5442, predictive_accuracy: 0.5206, prior_entropy: 6.6439, recall: 0.5206, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7745, kappa: 0.7828, kb_relative_information_score: 1034.7237, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7895, predictive_accuracy: 0.785, prior_entropy: 6.6439, recall: 0.785, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.71, kappa: 0.721, kb_relative_information_score: 1080.8892, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7307, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0025, kb_relative_information_score: 16.5518, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.717, kappa: 0.7323, kb_relative_information_score: 1015.6203, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7427, predictive_accuracy: 0.735, prior_entropy: 6.6439, recall: 0.735, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7697, kappa: 0.7721, kb_relative_information_score: 1204.7228, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.782, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7656, kappa: 0.7696, kb_relative_information_score: 1142.8279, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7772, predictive_accuracy: 0.7719, prior_entropy: 6.6439, recall: 0.7719, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.6852, kappa: 0.7008, kb_relative_information_score: 1012.7866, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7114, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.7971, 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: 0.9954, f_measure: 0.7677, kappa: 0.7721, kb_relative_information_score: 1120.9039, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7819, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.6932, kappa: 0.7102, kb_relative_information_score: 1087.5287, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7033, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.4104, kappa: 0.4274, kb_relative_information_score: 956.3836, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4226, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7794, kappa: 0.7828, kb_relative_information_score: 1156.3913, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7919, predictive_accuracy: 0.785, prior_entropy: 6.6439, recall: 0.785, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, kappa: 0.274, kb_relative_information_score: 434.0345, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2813, prior_entropy: 6.6439, recall: 0.2813, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7816, kappa: 0.7904, kb_relative_information_score: 1079.3754, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7978, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7571, kappa: 0.7626, kb_relative_information_score: 1154.0187, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7743, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7959, kappa: 0.8043, kb_relative_information_score: 1126.8073, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8126, predictive_accuracy: 0.8063, prior_entropy: 6.6439, recall: 0.8063, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4699, kb_relative_information_score: 50.5017, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.6848, kappa: 0.6938, kb_relative_information_score: 1152.7973, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6936, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4341, kb_relative_information_score: 31.9764, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, kappa: -0.0025, kb_relative_information_score: 36.0097, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, 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, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.6911, kappa: 0.7109, kb_relative_information_score: 901.8357, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7279, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8839,

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

OpenML APIs