OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8321, kappa: 0.8277, kb_relative_information_score: 989.3251, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8398, predictive_accuracy: 0.8294, prior_entropy: 6.6439, recall: 0.8294, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, kappa: 0.0417, kb_relative_information_score: 69.7853, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0513, prior_entropy: 6.6439, recall: 0.0513, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8191, kappa: 0.8188, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8236, 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: 0.996, f_measure: 0.8212, kappa: 0.8239, kb_relative_information_score: 1183.4705, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.6031, kappa: 0.6067, kb_relative_information_score: 1133.237, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.607, predictive_accuracy: 0.6106, prior_entropy: 6.6439, recall: 0.6106, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.6376, kappa: 0.6616, kb_relative_information_score: 945.6473, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6892, predictive_accuracy: 0.665, prior_entropy: 6.6439, recall: 0.665, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, kappa: 0.0025, kb_relative_information_score: 47.9353, 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: 0.977, f_measure: 0.7002, kappa: 0.7008, kb_relative_information_score: 1182.2533, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7084, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7072, kappa: 0.7109, kb_relative_information_score: 1169.5027, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7124, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, kappa: 0.5208, kb_relative_information_score: 1007.7392, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5256, prior_entropy: 6.6439, recall: 0.5256, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4228, kappa: -0.0038, kb_relative_information_score: 3.4366, 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: 0.8242, f_measure: 0.6525, kappa: 0.6484, kb_relative_information_score: 1041.7844, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6754, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8298, kappa: 0.8258, kb_relative_information_score: 988.7262, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8385, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1165.4533, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8288, kappa: 0.8289, kb_relative_information_score: 1397.9607, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8341, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8207, kappa: 0.8176, kb_relative_information_score: 983.6868, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8294, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8152, 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: 0.5759, kappa: 0.0025, kb_relative_information_score: 70.2358, 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: 0.9988, 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: 0.9909, f_measure: 0.637, kappa: 0.661, kb_relative_information_score: 942.4924, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.685, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, kappa: 0.2102, kb_relative_information_score: 293.1419, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2181, prior_entropy: 6.6439, recall: 0.2181, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.6883, kappa: 0.6932, kb_relative_information_score: 0.2334, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6984, predictive_accuracy: 0.6963, prior_entropy: 6.6439, recall: 0.6963, 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: 0.8178, kappa: 0.8188, kb_relative_information_score: 1.1753, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8216, 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: 0.984, f_measure: 0.5706, kappa: 0.5859, kb_relative_information_score: 757.1517, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.577, predictive_accuracy: 0.59, prior_entropy: 6.6439, recall: 0.59, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6609, kappa: 0.6635, kb_relative_information_score: 1165.4063, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, kappa: -0.0069, kb_relative_information_score: 3.3121, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, 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: 0.9932, kappa: 0.7014, kb_relative_information_score: 868.2042, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.6839, kappa: 0.6869, kb_relative_information_score: 0.4033, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6931, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, 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: 0.9942, f_measure: 0.7608, kappa: 0.7557, kb_relative_information_score: 1337.5734, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7712, predictive_accuracy: 0.7581, prior_entropy: 6.6439, recall: 0.7581, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.5923, kappa: 0.6136, kb_relative_information_score: 1074.8837, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6233, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.6244, kappa: 0.6427, kb_relative_information_score: 1081.1395, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6562, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3129, kappa: -0.0069, kb_relative_information_score: 4.3885, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8259, kappa: 0.8258, kb_relative_information_score: 1.01, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.829, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, 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: 0.6916, kappa: 0.0051, kb_relative_information_score: 33.1663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.015, prior_entropy: 6.6439, recall: 0.015, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, kappa: 0.5657, kb_relative_information_score: 1058.3437, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.57, prior_entropy: 6.6439, recall: 0.57, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2238, kappa: 0.0177, kb_relative_information_score: 4.2298, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0275, prior_entropy: 6.6439, recall: 0.0275, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8356, kappa: 0.8327, kb_relative_information_score: 982.092, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.841, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2987, kappa: -0.0101, kb_relative_information_score: 14.8449, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.6392, kappa: 0.6458, kb_relative_information_score: 0.4117, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6488, predictive_accuracy: 0.6494, prior_entropy: 6.6439, recall: 0.6494, 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: 0.9946, kappa: 0.7734, kb_relative_information_score: 904.1299, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.6502, kappa: 0.6313, kb_relative_information_score: 1177.8983, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7017, predictive_accuracy: 0.635, prior_entropy: 6.6439, recall: 0.635, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3659, kappa: -0.0051, kb_relative_information_score: 27.7781, 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: 0.9997, 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: 0.996, f_measure: 0.7724, kappa: 0.7771, kb_relative_information_score: 1138.9841, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.7241, kappa: 0.7266, kb_relative_information_score: 1180.4047, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7322, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.61, 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: 0.272, kappa: -0.0063, kb_relative_information_score: 1.9703, 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: 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: 0.9888, kappa: 0.6711, kb_relative_information_score: 742.0185, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8151, kappa: 0.81, kb_relative_information_score: 981.9283, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8253, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.8171, 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: 0.9966, f_measure: 0.828, kappa: 0.8239, kb_relative_information_score: 986.3373, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8366, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, kappa: -0.0044, kb_relative_information_score: 41.1329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9994, 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: 0.3242, kappa: -0.0101, kb_relative_information_score: 10.0274, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, 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: 0.82, kappa: 0.8239, kb_relative_information_score: 1189.6815, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8257, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8248, kappa: 0.8207, kb_relative_information_score: 980.254, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8337, predictive_accuracy: 0.8225, prior_entropy: 6.6439, recall: 0.8225, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8353,
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: 0.4242, kappa: -0.0038, kb_relative_information_score: 3.4727, 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: 0.9944, f_measure: 0.7274, kappa: 0.7475, kb_relative_information_score: 876.9551, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7623, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8349, kappa: 0.8321, kb_relative_information_score: 986.583, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.842, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3852, kappa: -0.0013, kb_relative_information_score: 31.0864, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, 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: 0.9969, f_measure: 0.8462, kappa: 0.8434, kb_relative_information_score: 955.6519, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8509, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6989, kappa: 0.702, kb_relative_information_score: 1169.76, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7097, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8324, kappa: 0.8289, kb_relative_information_score: 979.3194, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8394, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8194, kappa: 0.8157, kb_relative_information_score: 986.8091, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8278, predictive_accuracy: 0.8175, prior_entropy: 6.6439, recall: 0.8175, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.7853, kappa: 0.7809, kb_relative_information_score: 0.3025, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7995, predictive_accuracy: 0.7831, prior_entropy: 6.6439, recall: 0.7831, 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: 0.996, f_measure: 0.8136, kappa: 0.8106, kb_relative_information_score: 955.6996, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8209, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, kappa: 0.0025, kb_relative_information_score: 11.7962, 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: 0.9836, f_measure: 0.5704, kappa: 0.5524, kb_relative_information_score: 673.3003, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.652, predictive_accuracy: 0.5569, prior_entropy: 6.6439, recall: 0.5569, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.587, kappa: 0.5612, kb_relative_information_score: 991.0504, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.649, predictive_accuracy: 0.5656, prior_entropy: 6.6439, recall: 0.5656, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.6765, kappa: 0.6799, kb_relative_information_score: 1144.7843, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.681, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.6974, kappa: 0.7115, kb_relative_information_score: 996.682, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.688, kappa: 0.7045, kb_relative_information_score: 1079.2877, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7164, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.787,
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: 0.9906, f_measure: 0.6754, kappa: 0.6654, kb_relative_information_score: 1136.048, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7422, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7359, kappa: 0.7487, kb_relative_information_score: 965.8857, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7637, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, kappa: 0.0025, kb_relative_information_score: 12.5149, 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: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.72, kappa: 0.7247, kb_relative_information_score: 1187.727, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.726, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8324, kappa: 0.8289, kb_relative_information_score: 987.6393, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.84, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, kappa: 0.0076, kb_relative_information_score: 55.0762, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.6526, kappa: 0.6591, kb_relative_information_score: 0.251, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6625, prior_entropy: 6.6439, recall: 0.6625, 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: 0.996, f_measure: 0.8012, kappa: 0.8056, kb_relative_information_score: 1170.8624, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8118, predictive_accuracy: 0.8075, prior_entropy: 6.6439, recall: 0.8075, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8441, kappa: 0.8422, kb_relative_information_score: 0.3901, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8507, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, 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: 0.4535, kappa: 0.0025, kb_relative_information_score: 35.9578, 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: 0.9925, f_measure: 0.6222, kappa: 0.6452, kb_relative_information_score: 1028.9151, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6605, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7729, kappa: 0.7778, kb_relative_information_score: 1120.5639, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7854, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7816, kappa: 0.7841, kb_relative_information_score: 1173.6479, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7929, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.7955, kappa: 0.7973, kb_relative_information_score: 1174.9159, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8047, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.823, kappa: 0.8188, kb_relative_information_score: 987.2033, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8138, 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: 0.311, kappa: -0.0076, kb_relative_information_score: 4.2019, 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, 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: 0.9958, f_measure: 0.7838, kappa: 0.7891, kb_relative_information_score: 1100.8902, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7992, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8152, kappa: 0.81, kb_relative_information_score: 982.1895, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8251, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.8168, 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: 0.9154, kappa: 0.1812, kb_relative_information_score: 300.7172, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1894, prior_entropy: 6.6439, recall: 0.1894, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4207, kappa: 0.0025, kb_relative_information_score: 45.4705, 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: 0.9993, 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: 0.6461, f_measure: 0.3967, kappa: 0.2923, kb_relative_information_score: 476.5535, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7524, predictive_accuracy: 0.2994, prior_entropy: 6.6439, recall: 0.2994, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1184, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, kappa: 0.0025, kb_relative_information_score: 49.6952, 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: 0.9964, f_measure: 0.8268, kappa: 0.8239, kb_relative_information_score: 984.9146, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8348, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3319, kappa: -0.0101, kb_relative_information_score: 24.126, 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: 0.988, f_measure: 0.6162, kappa: 0.6357, kb_relative_information_score: 942.6596, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6457, predictive_accuracy: 0.6394, prior_entropy: 6.6439, recall: 0.6394, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6857, kappa: 0.6723, kb_relative_information_score: 1205.4709, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7375, predictive_accuracy: 0.6756, prior_entropy: 6.6439, recall: 0.6756, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8259, kappa: 0.8226, kb_relative_information_score: 983.4073, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.835, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7749, kappa: 0.7803, kb_relative_information_score: 1141.3261, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7877, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2953, kappa: -0.0025, kb_relative_information_score: 11.1418, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7084, kappa: 0.7241, kb_relative_information_score: 993.2623, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.735, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7526, kappa: 0.7658, kb_relative_information_score: 924.1829, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7754, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8715,

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