OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 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: 0.9944, f_measure: 0.7244, kappa: 0.7399, kb_relative_information_score: 1028.4603, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.754, predictive_accuracy: 0.7425, prior_entropy: 6.6439, recall: 0.7425, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7664, kappa: 0.7753, kb_relative_information_score: 1044.571, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7841, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7912, kappa: 0.7854, kb_relative_information_score: 955.0126, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.804, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6938, kappa: 0.7096, kb_relative_information_score: 1042.3485, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7179, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8108, kappa: 0.8062, kb_relative_information_score: 983.6789, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8187, predictive_accuracy: 0.8081, prior_entropy: 6.6439, recall: 0.8081, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8325, kappa: 0.8289, kb_relative_information_score: 988.3855, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8405, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.4722, kappa: 0.4848, kb_relative_information_score: 1036.8215, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4855, predictive_accuracy: 0.49, prior_entropy: 6.6439, recall: 0.49, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.3124, kappa: 0.2854, kb_relative_information_score: 578.9214, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4072, predictive_accuracy: 0.2925, prior_entropy: 6.6439, recall: 0.2925, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, kappa: 0.0038, kb_relative_information_score: 7.6416, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4327, kappa: 0.0025, kb_relative_information_score: 19.3786, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.5028, kappa: 0.5177, kb_relative_information_score: 1045.96, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5211, predictive_accuracy: 0.5225, prior_entropy: 6.6439, recall: 0.5225, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7308, kappa: 0.7279, kb_relative_information_score: 889.7699, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7473, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7537, kappa: 0.7582, kb_relative_information_score: 1194.7212, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7607, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, kappa: 0.0221, kb_relative_information_score: 84.3483, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0319, prior_entropy: 6.6439, recall: 0.0319, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7036, kappa: 0.7096, kb_relative_information_score: 1172.9036, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7063, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, kappa: 0.0019, kb_relative_information_score: 34.5711, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, kappa: 0.5101, kb_relative_information_score: 1014.9771, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.515, prior_entropy: 6.6439, recall: 0.515, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4463, kappa: -0.0063, kb_relative_information_score: 33.7719, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3359, kappa: -0.0101, kb_relative_information_score: 13.7463, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.831, kappa: 0.8314, kb_relative_information_score: 1409.1134, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8363, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, kappa: 0.6048, kb_relative_information_score: 1072.3677, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6088, prior_entropy: 6.6439, recall: 0.6088, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, kappa: 0.351, kb_relative_information_score: 0.0742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8344, kappa: 0.8302, kb_relative_information_score: 991.8389, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.843, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, kappa: 0.0997, kb_relative_information_score: 0.0283, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1088, prior_entropy: 6.6439, recall: 0.1088, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4152, kappa: -0.0076, kb_relative_information_score: 11.4777, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7903, kappa: 0.7854, kb_relative_information_score: 956.5504, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.803, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7873, kappa: 0.7904, kb_relative_information_score: 1144.5401, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7986, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.783, kappa: 0.7771, kb_relative_information_score: 943.944, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7974, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.7717, kappa: 0.7715, kb_relative_information_score: 1312.2697, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7756, predictive_accuracy: 0.7738, prior_entropy: 6.6439, recall: 0.7738, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3447, kappa: -0.0101, kb_relative_information_score: 24.3312, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.7365, kappa: 0.7374, kb_relative_information_score: 0.3858, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7481, predictive_accuracy: 0.74, prior_entropy: 6.6439, recall: 0.74, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6932, kappa: 0.697, kb_relative_information_score: 0.4047, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 6.6439, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3471, kappa: -0.0044, kb_relative_information_score: 3.357, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.6423, kappa: 0.6515, kb_relative_information_score: 1118.3406, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6612, predictive_accuracy: 0.655, prior_entropy: 6.6439, recall: 0.655, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7542, kappa: 0.7525, kb_relative_information_score: 937.8705, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7656, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.8379, 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: 0.9959, f_measure: 0.8056, kappa: 0.8087, kb_relative_information_score: 1198.1065, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8126, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.7276, kappa: 0.7298, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7321, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7346, kappa: 0.7456, kb_relative_information_score: 1010.185, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7613, predictive_accuracy: 0.7481, prior_entropy: 6.6439, recall: 0.7481, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, kappa: -0.0032, kb_relative_information_score: 39.4926, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2837, kappa: -0.0088, kb_relative_information_score: 3.867, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8079, kappa: 0.8119, kb_relative_information_score: 1142.0664, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8167, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8227, kappa: 0.8176, kb_relative_information_score: 980.8101, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, kappa: 0.6465, kb_relative_information_score: 769.3733, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.65, prior_entropy: 6.6439, recall: 0.65, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3909, kappa: -0.0101, kb_relative_information_score: 57.0848, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, kappa: 0.1124, kb_relative_information_score: 358.9034, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1213, prior_entropy: 6.6439, recall: 0.1213, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, kappa: 0.4912, kb_relative_information_score: 560.1374, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4963, prior_entropy: 6.6439, recall: 0.4963, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8204, kappa: 0.8176, kb_relative_information_score: 973.9373, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8268, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, kappa: 0.0025, kb_relative_information_score: 59.027, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, kappa: 0.0044, kb_relative_information_score: 29.5746, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, kappa: 0.2443, kb_relative_information_score: 0.0747, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2519, prior_entropy: 6.6439, recall: 0.2519, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, kappa: 0.0025, kb_relative_information_score: 48.8488, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5651, kappa: 0.529, kb_relative_information_score: 948.5161, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6657, predictive_accuracy: 0.5338, prior_entropy: 6.6439, recall: 0.5338, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.6686, kappa: 0.6477, kb_relative_information_score: 1032.4979, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7322, predictive_accuracy: 0.6513, prior_entropy: 6.6439, recall: 0.6513, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7774, kappa: 0.7866, kb_relative_information_score: 1123.932, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7924, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7165, kappa: 0.7203, kb_relative_information_score: 1191.6877, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7203, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, kappa: 0.0297, kb_relative_information_score: 37.131, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0394, prior_entropy: 6.6439, recall: 0.0394, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, kappa: 0.0025, kb_relative_information_score: 47.7182, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8315, kappa: 0.8283, kb_relative_information_score: 982.1314, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8382, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8223, kappa: 0.8182, kb_relative_information_score: 987.1363, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8308, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8263, kappa: 0.8226, kb_relative_information_score: 986.872, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8339, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4379, kappa: 0.1673, kb_relative_information_score: 57.6236, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1756, prior_entropy: 6.6439, recall: 0.1756, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.5722, kappa: 0.5455, kb_relative_information_score: 810.6286, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6433, predictive_accuracy: 0.55, prior_entropy: 6.6439, recall: 0.55, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6693, kappa: 0.6907, kb_relative_information_score: 953.8579, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7166, predictive_accuracy: 0.6938, prior_entropy: 6.6439, recall: 0.6938, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.6351, kappa: 0.649, kb_relative_information_score: 1009.6287, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6573, predictive_accuracy: 0.6525, prior_entropy: 6.6439, recall: 0.6525, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8228, kappa: 0.8188, kb_relative_information_score: 984.0127, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8311, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, kappa: 0.221, kb_relative_information_score: 322.6667, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2288, prior_entropy: 6.6439, recall: 0.2288, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, kappa: 0.0025, kb_relative_information_score: 22.985, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.7669, kappa: 0.7481, kb_relative_information_score: 656.9643, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8091, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6853, kappa: 0.6976, kb_relative_information_score: 1094.0166, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7079, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.791, kappa: 0.7866, kb_relative_information_score: 973.2337, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.801, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6817, kappa: 0.6919, kb_relative_information_score: 1094.5933, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6897, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8172, kappa: 0.8131, kb_relative_information_score: 983.3966, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8259, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7985, kappa: 0.7942, kb_relative_information_score: 981.6256, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8077, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, kappa: -0.0006, kb_relative_information_score: 15.469, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.6993, kappa: 0.7027, kb_relative_information_score: 1150.8905, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.701, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8347, kappa: 0.8314, kb_relative_information_score: 987.2014, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8422, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8315, kappa: 0.8283, kb_relative_information_score: 986.5364, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.839, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3604, kappa: 0.017, kb_relative_information_score: 14.2344, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0269, prior_entropy: 6.6439, recall: 0.0269, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.826, kappa: 0.822, kb_relative_information_score: 988.9621, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8333, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6189, kappa: 0.6427, kb_relative_information_score: 993.008, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6621, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.798, kappa: 0.7759, kb_relative_information_score: 943.0142, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8328, predictive_accuracy: 0.7781, prior_entropy: 6.6439, recall: 0.7781, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3967, kappa: -0.0038, kb_relative_information_score: 4.3595, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7756, kappa: 0.767, kb_relative_information_score: 1296.4016, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7694, prior_entropy: 6.6439, recall: 0.7694, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8264, kappa: 0.8239, kb_relative_information_score: 976.4354, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8325, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.6474, kappa: 0.6332, kb_relative_information_score: 1117.2138, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7226, predictive_accuracy: 0.6369, prior_entropy: 6.6439, recall: 0.6369, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7783, kappa: 0.7784, kb_relative_information_score: 1234.9365, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7841, predictive_accuracy: 0.7806, prior_entropy: 6.6439, recall: 0.7806, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8158, kappa: 0.8093, kb_relative_information_score: 972.7666, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8302, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.736, kappa: 0.7424, kb_relative_information_score: 1168.2341, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7469, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7995, kappa: 0.8081, kb_relative_information_score: 1068.0838, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8171, predictive_accuracy: 0.81, prior_entropy: 6.6439, recall: 0.81, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8214, kappa: 0.8188, kb_relative_information_score: 0.2999, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8313, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6043, kappa: 0.589, kb_relative_information_score: 589.6646, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6445, predictive_accuracy: 0.5931, prior_entropy: 6.6439, recall: 0.5931, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2881, kappa: -0.0076, kb_relative_information_score: 1.5752, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, kappa: 0.6256, kb_relative_information_score: 293.9125, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6294, prior_entropy: 6.6439, recall: 0.6294, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.565, kappa: 0.577, kb_relative_information_score: 0.2627, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5754, predictive_accuracy: 0.5813, prior_entropy: 6.6439, recall: 0.5813, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.6127, kappa: 0.6124, kb_relative_information_score: 1162.8525, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6209, predictive_accuracy: 0.6163, prior_entropy: 6.6439, recall: 0.6163, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, kappa: 0.0025, kb_relative_information_score: 23.2573, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.31, kappa: -0.0101, kb_relative_information_score: 21.4597, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, kappa: -0.0095, kb_relative_information_score: 22.7244, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.6981, kappa: 0.6509, kb_relative_information_score: 608.812, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7805, predictive_accuracy: 0.6544, prior_entropy: 6.6439, recall: 0.6544, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, kappa: 0.6705, kb_relative_information_score: 902.1517, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.8591, 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

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs