Task
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: 0.9939, f_measure: 0.7542, kappa: 0.7525, kb_relative_information_score: 937.8705, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7656, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8056, kappa: 0.8087, kb_relative_information_score: 1198.1065, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8126, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.7276, kappa: 0.7298, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7321, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7346, kappa: 0.7456, kb_relative_information_score: 1010.185, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7613, predictive_accuracy: 0.7481, prior_entropy: 6.6439, recall: 0.7481, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, kappa: -0.0032, kb_relative_information_score: 39.4926, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2837, kappa: -0.0088, kb_relative_information_score: 3.867, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8079, kappa: 0.8119, kb_relative_information_score: 1142.0664, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8167, predictive_accuracy: 0.8138, prior_entropy: 6.6439, recall: 0.8138, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8227, kappa: 0.8176, kb_relative_information_score: 980.8101, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, kappa: 0.6465, kb_relative_information_score: 769.3733, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.65, prior_entropy: 6.6439, recall: 0.65, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3909, kappa: -0.0101, kb_relative_information_score: 57.0848, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, kappa: 0.1124, kb_relative_information_score: 358.9034, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1213, prior_entropy: 6.6439, recall: 0.1213, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, kappa: 0.4912, kb_relative_information_score: 560.1374, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4963, prior_entropy: 6.6439, recall: 0.4963, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8204, kappa: 0.8176, kb_relative_information_score: 973.9373, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8268, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, kappa: 0.0025, kb_relative_information_score: 59.027, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, kappa: 0.0044, kb_relative_information_score: 29.5746, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, kappa: 0.2443, kb_relative_information_score: 0.0747, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2519, prior_entropy: 6.6439, recall: 0.2519, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, kappa: 0.0025, kb_relative_information_score: 48.8488, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5651, kappa: 0.529, kb_relative_information_score: 948.5161, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6657, predictive_accuracy: 0.5338, prior_entropy: 6.6439, recall: 0.5338, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7774, kappa: 0.7866, kb_relative_information_score: 1123.932, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7924, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7165, kappa: 0.7203, kb_relative_information_score: 1191.6877, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7203, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, kappa: 0.0297, kb_relative_information_score: 37.131, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0394, prior_entropy: 6.6439, recall: 0.0394, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, kappa: 0.0025, kb_relative_information_score: 47.7182, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8315, kappa: 0.8283, kb_relative_information_score: 982.1314, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8382, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8223, kappa: 0.8182, kb_relative_information_score: 987.1363, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8308, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8263, kappa: 0.8226, kb_relative_information_score: 986.872, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8339, predictive_accuracy: 0.8244, prior_entropy: 6.6439, recall: 0.8244, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4379, kappa: 0.1673, kb_relative_information_score: 57.6236, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1756, prior_entropy: 6.6439, recall: 0.1756, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6693, kappa: 0.6907, kb_relative_information_score: 953.8579, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7166, predictive_accuracy: 0.6938, prior_entropy: 6.6439, recall: 0.6938, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.6351, kappa: 0.649, kb_relative_information_score: 1009.6287, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6573, predictive_accuracy: 0.6525, prior_entropy: 6.6439, recall: 0.6525, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8228, kappa: 0.8188, kb_relative_information_score: 984.0127, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8311, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, kappa: 0.221, kb_relative_information_score: 322.6667, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2288, prior_entropy: 6.6439, recall: 0.2288, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, kappa: 0.0025, kb_relative_information_score: 22.985, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.7669, kappa: 0.7481, kb_relative_information_score: 656.9643, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8091, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.6853, kappa: 0.6976, kb_relative_information_score: 1094.0166, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7079, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.791, kappa: 0.7866, kb_relative_information_score: 973.2337, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.801, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.6817, kappa: 0.6919, kb_relative_information_score: 1094.5933, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6897, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8172, kappa: 0.8131, kb_relative_information_score: 983.3966, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8259, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7985, kappa: 0.7942, kb_relative_information_score: 981.6256, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8077, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, kappa: -0.0006, kb_relative_information_score: 15.469, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.6993, kappa: 0.7027, kb_relative_information_score: 1150.8905, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.701, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8347, kappa: 0.8314, kb_relative_information_score: 987.2014, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8422, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8315, kappa: 0.8283, kb_relative_information_score: 986.5364, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.839, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3604, kappa: 0.017, kb_relative_information_score: 14.2344, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0269, prior_entropy: 6.6439, recall: 0.0269, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.826, kappa: 0.822, kb_relative_information_score: 988.9621, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8333, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6189, kappa: 0.6427, kb_relative_information_score: 993.008, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6621, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.798, kappa: 0.7759, kb_relative_information_score: 943.0142, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8328, predictive_accuracy: 0.7781, prior_entropy: 6.6439, recall: 0.7781, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3967, kappa: -0.0038, kb_relative_information_score: 4.3595, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7756, kappa: 0.767, kb_relative_information_score: 1296.4016, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7694, prior_entropy: 6.6439, recall: 0.7694, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8264, kappa: 0.8239, kb_relative_information_score: 976.4354, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8325, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7783, kappa: 0.7784, kb_relative_information_score: 1234.9365, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7841, predictive_accuracy: 0.7806, prior_entropy: 6.6439, recall: 0.7806, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8158, kappa: 0.8093, kb_relative_information_score: 972.7666, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8302, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.736, kappa: 0.7424, kb_relative_information_score: 1168.2341, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7469, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7995, kappa: 0.8081, kb_relative_information_score: 1068.0838, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8171, predictive_accuracy: 0.81, prior_entropy: 6.6439, recall: 0.81, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8214, kappa: 0.8188, kb_relative_information_score: 0.2999, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8313, predictive_accuracy: 0.8206, prior_entropy: 6.6439, recall: 0.8206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6043, kappa: 0.589, kb_relative_information_score: 589.6646, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6445, predictive_accuracy: 0.5931, prior_entropy: 6.6439, recall: 0.5931, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2881, kappa: -0.0076, kb_relative_information_score: 1.5752, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, kappa: 0.6256, kb_relative_information_score: 293.9125, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6294, prior_entropy: 6.6439, recall: 0.6294, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.565, kappa: 0.577, kb_relative_information_score: 0.2627, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5754, predictive_accuracy: 0.5813, prior_entropy: 6.6439, recall: 0.5813, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.6127, kappa: 0.6124, kb_relative_information_score: 1162.8525, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6209, predictive_accuracy: 0.6163, prior_entropy: 6.6439, recall: 0.6163, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, kappa: 0.0025, kb_relative_information_score: 23.2573, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.31, kappa: -0.0101, kb_relative_information_score: 21.4597, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3323, kappa: -0.0095, kb_relative_information_score: 22.7244, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.6981, kappa: 0.6509, kb_relative_information_score: 608.812, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7805, predictive_accuracy: 0.6544, prior_entropy: 6.6439, recall: 0.6544, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, kappa: 0.6705, kb_relative_information_score: 902.1517, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8307, kappa: 0.827, kb_relative_information_score: 985.441, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.838, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7738, kappa: 0.7715, kb_relative_information_score: 1342.6412, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7803, predictive_accuracy: 0.7738, prior_entropy: 6.6439, recall: 0.7738, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8336, kappa: 0.8302, kb_relative_information_score: 988.5826, 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: 0.8122, 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: 0.9972, f_measure: 0.846, kappa: 0.8441, kb_relative_information_score: 1423.7823, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.852, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, kappa: 0.6376, kb_relative_information_score: 737.3558, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6413, prior_entropy: 6.6439, recall: 0.6413, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7424, kappa: 0.7481, kb_relative_information_score: 1106.4627, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7586, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7964, kappa: 0.7967, kb_relative_information_score: 0.4937, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8046, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, 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: 0.387, kappa: -0.0038, kb_relative_information_score: 4.0591, 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: 0.9457, kappa: 0.2563, kb_relative_information_score: 431.4392, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2638, prior_entropy: 6.6439, recall: 0.2638, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, kappa: 0.0025, kb_relative_information_score: 70.0682, 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: 0.9257, kappa: 0.1553, kb_relative_information_score: 243.9609, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1638, prior_entropy: 6.6439, recall: 0.1638, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6653, kappa: 0.6843, kb_relative_information_score: 959.8268, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7096, predictive_accuracy: 0.6875, prior_entropy: 6.6439, recall: 0.6875, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8077, kappa: 0.8081, kb_relative_information_score: 1203.2783, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8146, predictive_accuracy: 0.81, prior_entropy: 6.6439, recall: 0.81, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6712, kappa: 0.6742, kb_relative_information_score: 1178.0021, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6816, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, kappa: 0.6484, kb_relative_information_score: 901.2296, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, kappa: -0.0076, kb_relative_information_score: 18.9266, 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: 1.0001, 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: 0.9925, f_measure: 0.7941, kappa: 0.7891, kb_relative_information_score: 0.2807, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8077, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8193, kappa: 0.815, kb_relative_information_score: 980.3471, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8281, predictive_accuracy: 0.8169, prior_entropy: 6.6439, recall: 0.8169, relative_absolute_error: 0.8149, 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: 0.9461, kappa: 0.286, kb_relative_information_score: 475.1091, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2931, prior_entropy: 6.6439, recall: 0.2931, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7965, kappa: 0.7973, kb_relative_information_score: 1354.621, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8, predictive_accuracy: 0.7994, prior_entropy: 6.6439, recall: 0.7994, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, kappa: 0.233, kb_relative_information_score: 390.7243, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2406, prior_entropy: 6.6439, recall: 0.2406, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.2971, kappa: 0.2759, kb_relative_information_score: 450.4968, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3505, predictive_accuracy: 0.2831, prior_entropy: 6.6439, recall: 0.2831, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1197, root_relative_squared_error: 1.2034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.7161, kappa: 0.7191, kb_relative_information_score: 1202.2488, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.721, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8398, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8462, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8033, kappa: 0.8024, kb_relative_information_score: 1376.6143, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8067, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7897, kappa: 0.7841, kb_relative_information_score: 951.9155, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.803, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.8093, 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: 0.9885, kappa: 0.6218, kb_relative_information_score: 917.0026, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6256, prior_entropy: 6.6439, recall: 0.6256, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8235, kappa: 0.8201, kb_relative_information_score: 980.9886, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8325, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8177, 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: 0.3204, kappa: -0.0101, kb_relative_information_score: 18.8309, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0001, 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: 0.5994, 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: 0.9922, kappa: 0.6629, kb_relative_information_score: 956.257, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6663, prior_entropy: 6.6439, recall: 0.6663, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7923, kappa: 0.774, kb_relative_information_score: 1241.2187, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8249, predictive_accuracy: 0.7763, prior_entropy: 6.6439, recall: 0.7763, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, kappa: 0.6193, kb_relative_information_score: 1005.7445, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7319, kappa: 0.7273, kb_relative_information_score: 1167.0572, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7527, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.7891, kappa: 0.7854, kb_relative_information_score: 0.2834, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8002, predictive_accuracy: 0.7875, prior_entropy: 6.6439, recall: 0.7875, 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: 0.828, kappa: 0.8239, kb_relative_information_score: 985.9389, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8359, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8326, kappa: 0.8289, kb_relative_information_score: 986.4578, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8409, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,

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