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: 0.9952, f_measure: 0.7496, kappa: 0.7582, kb_relative_information_score: 1044.607, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7742, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4307, kappa: 0.1408, kb_relative_information_score: 47.2483, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1494, prior_entropy: 6.6439, recall: 0.1494, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, kappa: 0.0025, kb_relative_information_score: 31.8352, 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: 0.9995, 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: 0.1945, kappa: -0.0076, kb_relative_information_score: 3.0455, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2194, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2984, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.6818, kappa: 0.6869, kb_relative_information_score: 1129.7461, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6908, predictive_accuracy: 0.69, prior_entropy: 6.6439, recall: 0.69, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.7471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.6136, kb_relative_information_score: 1052.8867, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8048, kappa: 0.8106, kb_relative_information_score: 1169.2897, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8119, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, kappa: 0.0467, kb_relative_information_score: 86.7046, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0563, prior_entropy: 6.6439, recall: 0.0563, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1374, root_relative_squared_error: 1.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.472, kappa: 0.4596, kb_relative_information_score: 742.1319, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4994, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1034, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8458, kappa: 0.8422, kb_relative_information_score: 962.6684, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8516, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.433, kappa: -0.0025, kb_relative_information_score: 47.2998, 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: 0.963, f_measure: 0.4331, kappa: 0.4501, kb_relative_information_score: 0.0721, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4956, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, 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: 0.7547, kappa: 0.339, kb_relative_information_score: 155.8559, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3456, prior_entropy: 6.6439, recall: 0.3456, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.6518, kappa: 0.6547, kb_relative_information_score: 807.0857, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6993, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, kappa: 0.0025, kb_relative_information_score: 64.5143, 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: 0.9983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7166, kappa: 0.7165, kb_relative_information_score: 1223.4294, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7232, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7617, kappa: 0.7633, kb_relative_information_score: 939.2426, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7724, predictive_accuracy: 0.7656, prior_entropy: 6.6439, recall: 0.7656, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, kappa: 0.4015, kb_relative_information_score: 940.93, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7619, kappa: 0.762, kb_relative_information_score: 946.0543, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7747, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, kappa: 0.6244, kb_relative_information_score: 1055.202, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.635, kappa: 0.6212, kb_relative_information_score: 802.5329, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6673, predictive_accuracy: 0.625, prior_entropy: 6.6439, recall: 0.625, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8323, kappa: 0.8283, kb_relative_information_score: 987.207, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8405, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.7189, kappa: 0.7197, kb_relative_information_score: 1209.5112, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7227, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3421, kappa: -0.0038, kb_relative_information_score: 24.2996, 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: 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: 0.9964, f_measure: 0.8136, kappa: 0.815, kb_relative_information_score: 1.1663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8181, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, 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: 0.9966, f_measure: 0.8364, kappa: 0.8333, kb_relative_information_score: 989.848, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8433, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.84, kappa: 0.8422, kb_relative_information_score: 1157.1014, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8452, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7287,
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: 0.9942, f_measure: 0.7183, kappa: 0.7292, kb_relative_information_score: 1062.8046, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7428, predictive_accuracy: 0.7319, prior_entropy: 6.6439, recall: 0.7319, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8417, kappa: 0.8384, kb_relative_information_score: 951.6392, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8467, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8474,
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: 0.9966, f_measure: 0.833, kappa: 0.8295, kb_relative_information_score: 986.8685, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8411, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kappa: 0.0032, kb_relative_information_score: 31.5083, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, 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: 0.4565, kappa: -0.0025, kb_relative_information_score: 21.2248, 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: 0.9997, 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: 0.9959, f_measure: 0.8051, kappa: 0.8005, kb_relative_information_score: 969.5951, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8156, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.8041, 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: 0.6876, kappa: 0.0152, kb_relative_information_score: 53.6549, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.025, prior_entropy: 6.6439, recall: 0.025, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8176, kappa: 0.8138, kb_relative_information_score: 979.0025, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8275, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, kappa: 0.3283, kb_relative_information_score: 502.613, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.335, prior_entropy: 6.6439, recall: 0.335, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3296, kappa: -0.0101, kb_relative_information_score: 17.8623, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, 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: 0.9934, f_measure: 0.7468, kappa: 0.7475, kb_relative_information_score: 923.0595, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7826, kappa: 0.791, kb_relative_information_score: 1069.3591, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.771, kappa: 0.7771, kb_relative_information_score: 1156.0771, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7869, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8354, kappa: 0.8321, kb_relative_information_score: 987.0791, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.843, predictive_accuracy: 0.8338, prior_entropy: 6.6439, recall: 0.8338, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7803, kappa: 0.7854, kb_relative_information_score: 1115.5546, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7986, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, kappa: 0.7513, kb_relative_information_score: 851.4961, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.3456, kappa: 0.2847, kb_relative_information_score: 215.8145, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5633, predictive_accuracy: 0.2919, prior_entropy: 6.6439, recall: 0.2919, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9819,
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: 0.9969, f_measure: 0.8476, kappa: 0.8441, kb_relative_information_score: 956.9047, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8531, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8296, kappa: 0.8264, kb_relative_information_score: 981.5725, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8359, predictive_accuracy: 0.8281, prior_entropy: 6.6439, recall: 0.8281, relative_absolute_error: 0.8189, 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: 0.6827, kappa: 0.0082, kb_relative_information_score: 41.6093, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, 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: 0.9071, kappa: 0.3112, kb_relative_information_score: 266.6499, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3181, prior_entropy: 6.6439, recall: 0.3181, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7823, kappa: 0.7872, kb_relative_information_score: 1155.8957, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7948, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, kappa: 0.1723, kb_relative_information_score: 325.3556, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1806, prior_entropy: 6.6439, recall: 0.1806, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, 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: 0.9967, f_measure: 0.835, kappa: 0.8308, kb_relative_information_score: 990.5587, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8419, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8125, 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: 0.4841, kappa: 0.0025, kb_relative_information_score: 22.4085, 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: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.6449, kappa: 0.6686, kb_relative_information_score: 898.8307, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6803, predictive_accuracy: 0.6719, prior_entropy: 6.6439, recall: 0.6719, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7637, kappa: 0.7721, kb_relative_information_score: 1033.2551, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4574, kappa: -0.0044, kb_relative_information_score: 22.5411, 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: 0.9997, 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: 0.9953, f_measure: 0.7805, kappa: 0.7898, kb_relative_information_score: 1099.2552, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7933, predictive_accuracy: 0.7919, prior_entropy: 6.6439, recall: 0.7919, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.331, kappa: -0.0101, kb_relative_information_score: 26.7692, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9998, 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: 0.992, f_measure: 0.6774, kappa: 0.6951, kb_relative_information_score: 1032.6556, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7115, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3601, kappa: -0.0063, kb_relative_information_score: 25.1296, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 0.9997, 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: 0.3368, kappa: -0.0025, kb_relative_information_score: 18.0177, 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, 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: 0.9966, f_measure: 0.8335, kappa: 0.8302, kb_relative_information_score: 988.2396, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8408, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, kappa: 0.0025, kb_relative_information_score: 21.9762, 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: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, kappa: 0.0038, kb_relative_information_score: 54.6701, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.6244, kb_relative_information_score: 894.0451, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, kappa: 0.1376, kb_relative_information_score: 430.2608, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1463, prior_entropy: 6.6439, recall: 0.1463, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, kappa: 0.3194, kb_relative_information_score: 734.3356, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3263, prior_entropy: 6.6439, recall: 0.3263, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7861, kappa: 0.7942, kb_relative_information_score: 1104.9537, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7965, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, kappa: 0.4628, kb_relative_information_score: 606.4477, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8359, kappa: 0.8327, kb_relative_information_score: 989.263, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8435, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8376, kappa: 0.834, kb_relative_information_score: 989.7717, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8458, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.8113, 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: 0.7323, f_measure: 0.4678, kappa: 0.4646, kb_relative_information_score: 750.1493, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4805, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.103, root_relative_squared_error: 1.0347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, kappa: 0.6061, kb_relative_information_score: 680.5959, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.61, prior_entropy: 6.6439, recall: 0.61, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7255, kappa: 0.738, kb_relative_information_score: 1106.2772, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7404, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8053, kappa: 0.8005, kb_relative_information_score: 967.0319, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8159, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7195, kappa: 0.7374, kb_relative_information_score: 900.8093, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7555, predictive_accuracy: 0.74, prior_entropy: 6.6439, recall: 0.74, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6401, kappa: 0.6515, kb_relative_information_score: 1125.3118, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6478, predictive_accuracy: 0.655, prior_entropy: 6.6439, recall: 0.655, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8219, kappa: 0.8182, kb_relative_information_score: 983.5892, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8309, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.8163, 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: 0.4998, kappa: 0.0202, kb_relative_information_score: 49.4008, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.03, prior_entropy: 6.6439, recall: 0.03, 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: 0.9963, f_measure: 0.821, kappa: 0.8176, kb_relative_information_score: 984.8115, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8315, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7642, kappa: 0.7664, kb_relative_information_score: 1197.6927, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7738, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.7996, kappa: 0.8024, kb_relative_information_score: 1159.6131, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8089, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8405, kappa: 0.8378, kb_relative_information_score: 977.3872, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.846, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, kappa: -0.0088, kb_relative_information_score: 58.6208, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.7102, kappa: 0.7178, kb_relative_information_score: 0.2353, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7271, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, 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: 0.995, f_measure: 0.7781, kappa: 0.7746, kb_relative_information_score: 969.191, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7867, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.754, kappa: 0.762, kb_relative_information_score: 1101.3198, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7724, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3559, kappa: -0.0063, kb_relative_information_score: 4.0507, 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: 0.9953, f_measure: 0.7834, kappa: 0.7904, kb_relative_information_score: 1116.1623, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.796, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8349, kappa: 0.8308, kb_relative_information_score: 988.201, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.569, kappa: 0.584, kb_relative_information_score: 0.1422, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6012, predictive_accuracy: 0.5881, prior_entropy: 6.6439, recall: 0.5881, 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: 0.9959, f_measure: 0.7799, kappa: 0.7891, kb_relative_information_score: 1093.0757, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, kappa: 0.2999, kb_relative_information_score: 453.3723, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3953, kappa: -0.0088, kb_relative_information_score: 32.4764, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.5589, kappa: 0.5568, kb_relative_information_score: 708.0363, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6173, predictive_accuracy: 0.5613, prior_entropy: 6.6439, recall: 0.5613, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.9313,

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