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: 0.9919, f_measure: 0.7434, kappa: 0.7443, kb_relative_information_score: 0.3819, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7515, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, 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: 0.9466, kappa: 0.2652, kb_relative_information_score: 440.9384, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2725, prior_entropy: 6.6439, recall: 0.2725, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, kappa: 0.053, kb_relative_information_score: 82.871, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0625, prior_entropy: 6.6439, recall: 0.0625, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8167, kappa: 0.8131, kb_relative_information_score: 0.3244, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.828, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, 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: 0.9963, f_measure: 0.8194, kappa: 0.8157, kb_relative_information_score: 980.262, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8289, predictive_accuracy: 0.8175, prior_entropy: 6.6439, recall: 0.8175, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8342, kappa: 0.834, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.84, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, 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: 0.987, f_measure: 0.613, kappa: 0.6067, kb_relative_information_score: 1146.3435, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6753, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7965, kappa: 0.7973, kb_relative_information_score: 1354.621, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.712, kappa: 0.697, kb_relative_information_score: 1176.2675, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7541, predictive_accuracy: 0.7, prior_entropy: 6.6439, recall: 0.7, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, kappa: 0.154, kb_relative_information_score: 292.7964, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1625, prior_entropy: 6.6439, recall: 0.1625, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.832, kappa: 0.8264, kb_relative_information_score: 1404.606, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8453, predictive_accuracy: 0.8281, prior_entropy: 6.6439, recall: 0.8281, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8358, kappa: 0.8359, kb_relative_information_score: 1410.7539, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8403, predictive_accuracy: 0.8375, prior_entropy: 6.6439, recall: 0.8375, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, kappa: 0.2797, kb_relative_information_score: 290.9615, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2869, prior_entropy: 6.6439, recall: 0.2869, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, kappa: 0.4596, kb_relative_information_score: 752.5731, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2647, kappa: 0.0158, kb_relative_information_score: 7.3767, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0256, prior_entropy: 6.6439, recall: 0.0256, 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: 0.9702, f_measure: 0.5097, kappa: 0.5051, kb_relative_information_score: 0.1022, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5417, predictive_accuracy: 0.51, prior_entropy: 6.6439, recall: 0.51, 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: 0.9951, f_measure: 0.8136, kappa: 0.8144, kb_relative_information_score: 1381.2948, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8184, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.054, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8526, kappa: 0.8516, kb_relative_information_score: 0.4953, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8584, predictive_accuracy: 0.8531, prior_entropy: 6.6439, recall: 0.8531, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8245, kappa: 0.8213, kb_relative_information_score: 983.0311, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8335, predictive_accuracy: 0.8231, prior_entropy: 6.6439, recall: 0.8231, relative_absolute_error: 0.8162, 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: 0.9826, f_measure: 0.647, kappa: 0.637, kb_relative_information_score: 0.2279, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6724, predictive_accuracy: 0.6406, prior_entropy: 6.6439, recall: 0.6406, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8262, kappa: 0.8226, kb_relative_information_score: 982.3893, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8338, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.8177, 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: 0.9977, f_measure: 0.8491, kappa: 0.8472, kb_relative_information_score: 1430.5594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.856, predictive_accuracy: 0.8488, prior_entropy: 6.6439, recall: 0.8488, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4531, kappa: 0.0025, kb_relative_information_score: 41.0126, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8208, kappa: 0.8163, kb_relative_information_score: 984.9437, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8293, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.833,
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: 0.9875, f_measure: 0.6262, kappa: 0.6004, kb_relative_information_score: 944.7276, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6989, predictive_accuracy: 0.6044, prior_entropy: 6.6439, recall: 0.6044, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8207, kappa: 0.8157, kb_relative_information_score: 981.7104, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8303, predictive_accuracy: 0.8175, prior_entropy: 6.6439, recall: 0.8175, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, kappa: 0.3169, kb_relative_information_score: 734.4678, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3238, prior_entropy: 6.6439, recall: 0.3238, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8317, kappa: 0.8327, kb_relative_information_score: 1.1086, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8357, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, 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: 0.4676, kappa: -0.0025, kb_relative_information_score: 12.0287, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9998, 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: 0.9252, kappa: 0.2121, kb_relative_information_score: 337.5779, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, kappa: 0.4609, kb_relative_information_score: 975.6557, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.757, 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: 0.9261, kappa: 0.2708, kb_relative_information_score: 0.0743, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2781, prior_entropy: 6.6439, recall: 0.2781, 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: 0.9853, f_measure: 0.5627, kappa: 0.5745, kb_relative_information_score: 772.6386, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5748, predictive_accuracy: 0.5788, prior_entropy: 6.6439, recall: 0.5788, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, kappa: 0.1572, kb_relative_information_score: 258.909, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1656, prior_entropy: 6.6439, recall: 0.1656, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.7052, kappa: 0.7115, kb_relative_information_score: 0.1793, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7173, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, 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: 0.328, kappa: -0.0101, kb_relative_information_score: 17.9854, 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: 0.9255, kappa: 0.2197, kb_relative_information_score: 0.0248, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2275, prior_entropy: 6.6439, recall: 0.2275, 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: 0.991, 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: 0.8936, kappa: 0.1711, kb_relative_information_score: 0.0282, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1794, prior_entropy: 6.6439, recall: 0.1794, 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: 0.3376, kappa: -0.0032, kb_relative_information_score: 32.2959, 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: 0.9996, 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: 0.9848, f_measure: 0.5926, kappa: 0.5574, kb_relative_information_score: 973.9413, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6803, predictive_accuracy: 0.5619, prior_entropy: 6.6439, recall: 0.5619, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.6276, kappa: 0.6187, kb_relative_information_score: 864.7951, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6471, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7722, kappa: 0.7696, kb_relative_information_score: 1349.2942, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.779, predictive_accuracy: 0.7719, prior_entropy: 6.6439, recall: 0.7719, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7881, kappa: 0.7879, kb_relative_information_score: 0.7017, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.794, predictive_accuracy: 0.79, prior_entropy: 6.6439, recall: 0.79, 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: 0.3573, kappa: -0.0051, kb_relative_information_score: 41.5214, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 0.9994, 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: 0.9808, f_measure: 0.4857, kappa: 0.4621, kb_relative_information_score: 800.1626, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.607, predictive_accuracy: 0.4675, prior_entropy: 6.6439, recall: 0.4675, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, kappa: 0.0025, kb_relative_information_score: 70.9021, 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: 0.9987, 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: 0.94, f_measure: 0.3994, kappa: 0.3693, kb_relative_information_score: 569.8588, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4806, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.7808, kappa: 0.7746, kb_relative_information_score: 0.2414, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7951, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8217, kappa: 0.8176, kb_relative_information_score: 983.0468, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8309, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8161, 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: 0.7719, kappa: 0.089, kb_relative_information_score: 187.7903, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0981, prior_entropy: 6.6439, recall: 0.0981, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7035, kappa: 0.6913, kb_relative_information_score: 1222.0147, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7469, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4362, kappa: 0.0025, kb_relative_information_score: 13.3052, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, kappa: 0.0669, kb_relative_information_score: 237.2305, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0763, prior_entropy: 6.6439, recall: 0.0763, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8108, kappa: 0.8056, kb_relative_information_score: 0.2921, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8242, predictive_accuracy: 0.8075, prior_entropy: 6.6439, recall: 0.8075, 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: 0.9855, f_measure: 0.6332, kappa: 0.6256, kb_relative_information_score: 607.0638, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6994, predictive_accuracy: 0.6294, prior_entropy: 6.6439, recall: 0.6294, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, kappa: 0.0025, kb_relative_information_score: 29.0623, 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: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.5975, kappa: 0.5795, kb_relative_information_score: 988.7512, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6872, predictive_accuracy: 0.5838, prior_entropy: 6.6439, recall: 0.5838, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6292, kappa: 0.6023, kb_relative_information_score: 1076.5352, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7087, predictive_accuracy: 0.6063, prior_entropy: 6.6439, recall: 0.6063, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, kappa: 0.5208, kb_relative_information_score: 995.8426, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5256, prior_entropy: 6.6439, recall: 0.5256, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3337, kappa: -0.0101, kb_relative_information_score: 30.8701, 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: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.7046, kappa: 0.714, kb_relative_information_score: 0.2023, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.7169, prior_entropy: 6.6439, recall: 0.7169, 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: 0.3876, kappa: 0.0025, kb_relative_information_score: 9.2086, 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: 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: 0.991, f_measure: 0.7638, kappa: 0.7582, kb_relative_information_score: 0.3435, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7766, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, 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: 0.9963, f_measure: 0.8186, kappa: 0.8131, kb_relative_information_score: 981.7512, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8285, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8245, kappa: 0.8207, kb_relative_information_score: 980.8502, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8341, predictive_accuracy: 0.8225, prior_entropy: 6.6439, recall: 0.8225, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7593, kappa: 0.7475, kb_relative_information_score: 1296.3665, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7962, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, kappa: 0.0682, kb_relative_information_score: 153.2712, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0775, prior_entropy: 6.6439, recall: 0.0775, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7221, kappa: 0.7039, kb_relative_information_score: 1244.1263, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7678, predictive_accuracy: 0.7069, prior_entropy: 6.6439, recall: 0.7069, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7863, kappa: 0.7835, kb_relative_information_score: 1362.3159, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7935, predictive_accuracy: 0.7856, prior_entropy: 6.6439, recall: 0.7856, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, kappa: 0.3074, kb_relative_information_score: 559.7275, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3144, prior_entropy: 6.6439, recall: 0.3144, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7705, kappa: 0.7677, kb_relative_information_score: 1354.8078, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7781, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.7205, kappa: 0.7222, kb_relative_information_score: 0.3941, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7292, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, 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: 0.9652, f_measure: 0.4353, kappa: 0.4514, kb_relative_information_score: 0.0708, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4958, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, 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: 0.9954, f_measure: 0.7954, kappa: 0.7948, kb_relative_information_score: 1356.9357, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8034, predictive_accuracy: 0.7969, prior_entropy: 6.6439, recall: 0.7969, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, kappa: 0.0518, kb_relative_information_score: 55.4934, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0613, prior_entropy: 6.6439, recall: 0.0613, relative_absolute_error: 0.9972, 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: 0.4565, kappa: -0.0051, kb_relative_information_score: 67.7369, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 0.9989, 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: 0.4765, kappa: 0.0013, kb_relative_information_score: 4.0512, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, 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: 0.9958, f_measure: 0.8174, kappa: 0.8182, kb_relative_information_score: 0.9299, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8223, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.6627, kappa: 0.6439, kb_relative_information_score: 982.2605, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7286, predictive_accuracy: 0.6475, prior_entropy: 6.6439, recall: 0.6475, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8251,
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: 0.3496, kappa: -0.0101, kb_relative_information_score: 34.3794, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, 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: 0.8291, kappa: 0.2569, kb_relative_information_score: 43.2329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2644, prior_entropy: 6.6439, recall: 0.2644, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, kappa: 0.125, kb_relative_information_score: 0.0738, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1338, prior_entropy: 6.6439, recall: 0.1338, 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: 0.4644, kappa: 0.0025, kb_relative_information_score: 27.7587, 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: 0.9896, f_measure: 0.5934, kappa: 0.5821, kb_relative_information_score: 817.9004, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6681, predictive_accuracy: 0.5863, prior_entropy: 6.6439, recall: 0.5863, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7218, kappa: 0.7285, kb_relative_information_score: 0.2237, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7413, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, 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: 0.993, f_measure: 0.7617, kappa: 0.7652, kb_relative_information_score: 0.3157, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7712, predictive_accuracy: 0.7675, prior_entropy: 6.6439, recall: 0.7675, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8245, kappa: 0.8207, kb_relative_information_score: 981.9034, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8328, predictive_accuracy: 0.8225, prior_entropy: 6.6439, recall: 0.8225, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.6615, kappa: 0.666, kb_relative_information_score: 0.2461, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6783, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, 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: 0.8031, kappa: 0.0814, kb_relative_information_score: 63.9011, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0906, prior_entropy: 6.6439, recall: 0.0906, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.7268, kappa: 0.7279, kb_relative_information_score: 0.3855, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7362, predictive_accuracy: 0.7306, prior_entropy: 6.6439, recall: 0.7306, 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: 0.4848, kappa: -0.0025, kb_relative_information_score: 41.5745, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8224, kappa: 0.8188, kb_relative_information_score: 982.3816, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.831, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8171, 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: 0.9963, f_measure: 0.8161, kappa: 0.8112, kb_relative_information_score: 984.8995, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8245, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8106, kappa: 0.8119, kb_relative_information_score: 1.0797, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8165, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, 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: 0.9832, f_measure: 0.6186, kappa: 0.6282, kb_relative_information_score: 0.258, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6296, predictive_accuracy: 0.6319, prior_entropy: 6.6439, recall: 0.6319, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8228, kappa: 0.8188, kb_relative_information_score: 981.6419, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8314, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.817, 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: 0.9957, f_measure: 0.8006, kappa: 0.8005, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8063, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs