OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 12985 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: 0.8503, f_measure: 0.3852, kappa: 0.4003, kb_relative_information_score: 849.8543, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.397, predictive_accuracy: 0.4063, prior_entropy: 6.6439, recall: 0.4063, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.4439, kappa: 0.44, kb_relative_information_score: 864.4995, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4573, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.4181, kappa: 0.4211, kb_relative_information_score: 867.7839, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4318, predictive_accuracy: 0.4269, prior_entropy: 6.6439, recall: 0.4269, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, kappa: 0.3428, kb_relative_information_score: 843.6245, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3494, prior_entropy: 6.6439, recall: 0.3494, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.409, kappa: 0.4135, kb_relative_information_score: 868.1848, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4161, predictive_accuracy: 0.4194, prior_entropy: 6.6439, recall: 0.4194, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3163, kb_relative_information_score: 829.1126, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3231, prior_entropy: 6.6439, recall: 0.3231, relative_absolute_error: 0.7748, 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: 0.788, f_measure: 0.4606, kappa: 0.4527, kb_relative_information_score: 830.385, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4802, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, kappa: 0.2999, kb_relative_information_score: 830.0776, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.4765, kappa: 0.4735, kb_relative_information_score: 764.1799, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4843, predictive_accuracy: 0.4788, prior_entropy: 6.6439, recall: 0.4788, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1021, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, kappa: 0.4287, kb_relative_information_score: 874.4005, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4344, prior_entropy: 6.6439, recall: 0.4344, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.4029, kappa: 0.411, kb_relative_information_score: 861.203, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.41, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.4465, kappa: 0.4419, kb_relative_information_score: 871.8605, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4636, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.4508, kappa: 0.4489, kb_relative_information_score: 861.9501, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4636, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, kappa: 0.3598, kb_relative_information_score: 848.814, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3663, prior_entropy: 6.6439, recall: 0.3663, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.4177, kappa: 0.4249, kb_relative_information_score: 861.4538, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4211, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.462, kappa: 0.4577, kb_relative_information_score: 850.369, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4753, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.4627, kappa: 0.4558, kb_relative_information_score: 810.4009, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.483, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.4448, kappa: 0.4426, kb_relative_information_score: 855.8592, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4579, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.3649, kappa: 0.3775, kb_relative_information_score: 851.5493, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.379, predictive_accuracy: 0.3838, prior_entropy: 6.6439, recall: 0.3838, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3169, kb_relative_information_score: 829.1505, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3238, prior_entropy: 6.6439, recall: 0.3238, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, kappa: 0.3819, kb_relative_information_score: 849.2624, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3881, prior_entropy: 6.6439, recall: 0.3881, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.4513, kappa: 0.447, kb_relative_information_score: 845.9973, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4657, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.4637, kappa: 0.4602, kb_relative_information_score: 743.134, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4736, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1034, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.4266, kappa: 0.4312, kb_relative_information_score: 876.8546, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4381, predictive_accuracy: 0.4369, prior_entropy: 6.6439, recall: 0.4369, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.4553, kappa: 0.4508, kb_relative_information_score: 865.2166, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4697, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, kappa: 0.3346, kb_relative_information_score: 842.2748, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3413, prior_entropy: 6.6439, recall: 0.3413, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.4441, kappa: 0.4419, kb_relative_information_score: 866.4323, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4551, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.4383, kappa: 0.4369, kb_relative_information_score: 872.1379, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4525, predictive_accuracy: 0.4425, prior_entropy: 6.6439, recall: 0.4425, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.4468, kappa: 0.4438, kb_relative_information_score: 868.2552, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4616, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, kappa: 0.351, kb_relative_information_score: 851.7366, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3575, prior_entropy: 6.6439, recall: 0.3575, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.3874, kappa: 0.4021, kb_relative_information_score: 850.4052, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4002, predictive_accuracy: 0.4081, prior_entropy: 6.6439, recall: 0.4081, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, kappa: 0.4356, kb_relative_information_score: 869.3717, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.4398, kappa: 0.4369, kb_relative_information_score: 862.9233, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4542, predictive_accuracy: 0.4425, prior_entropy: 6.6439, recall: 0.4425, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.4284, kappa: 0.4293, kb_relative_information_score: 869.3657, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4398, predictive_accuracy: 0.435, prior_entropy: 6.6439, recall: 0.435, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3093, kb_relative_information_score: 824.2197, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3163, prior_entropy: 6.6439, recall: 0.3163, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.4562, kappa: 0.452, kb_relative_information_score: 859.8419, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4696, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.4119, kappa: 0.4223, kb_relative_information_score: 871.3006, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4159, predictive_accuracy: 0.4281, prior_entropy: 6.6439, recall: 0.4281, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.1007, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, kappa: 0.3516, kb_relative_information_score: 852.7072, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3581, prior_entropy: 6.6439, recall: 0.3581, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.4209, kappa: 0.4249, kb_relative_information_score: 872.6041, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4308, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, kappa: 0.4495, kb_relative_information_score: 872.6069, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.438, kappa: 0.4362, kb_relative_information_score: 861.4428, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4496, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.413, kappa: 0.4236, kb_relative_information_score: 873.0305, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4168, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.4397, kappa: 0.4362, kb_relative_information_score: 872.1693, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4565, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6311, 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: 0.8044, f_measure: 0.4544, kappa: 0.4508, kb_relative_information_score: 854.5631, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4665, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3858, kappa: 0.4009, kb_relative_information_score: 851.4291, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3973, predictive_accuracy: 0.4069, prior_entropy: 6.6439, recall: 0.4069, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.37, kappa: 0.392, kb_relative_information_score: 853.9333, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3783, predictive_accuracy: 0.3981, prior_entropy: 6.6439, recall: 0.3981, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.1197, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.4569, kappa: 0.4533, kb_relative_information_score: 862.2125, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4688, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.4681, kappa: 0.4615, kb_relative_information_score: 848.6394, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4845, predictive_accuracy: 0.4669, prior_entropy: 6.6439, recall: 0.4669, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.3776, kappa: 0.3883, kb_relative_information_score: 854.2322, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3917, predictive_accuracy: 0.3944, prior_entropy: 6.6439, recall: 0.3944, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.4129, kappa: 0.4236, kb_relative_information_score: 872.4725, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4171, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.4632, kappa: 0.4571, kb_relative_information_score: 867.7061, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4796, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, kappa: 0.4242, kb_relative_information_score: 869.1831, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3169, kb_relative_information_score: 829.1505, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3238, prior_entropy: 6.6439, recall: 0.3238, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.4124, kappa: 0.423, kb_relative_information_score: 872.1986, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4163, predictive_accuracy: 0.4288, prior_entropy: 6.6439, recall: 0.4288, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.4588, kappa: 0.4545, kb_relative_information_score: 810.6168, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4752, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.4476, kappa: 0.4432, kb_relative_information_score: 867.9092, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4641, predictive_accuracy: 0.4488, prior_entropy: 6.6439, recall: 0.4488, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, kappa: 0.3264, kb_relative_information_score: 839.8807, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.3769, kappa: 0.387, kb_relative_information_score: 853.0432, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3909, predictive_accuracy: 0.3931, prior_entropy: 6.6439, recall: 0.3931, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.4539, kappa: 0.4495, kb_relative_information_score: 866.4421, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4684, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.471, kappa: 0.4659, kb_relative_information_score: 791.9343, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4832, predictive_accuracy: 0.4713, prior_entropy: 6.6439, recall: 0.4713, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.3531, kappa: 0.3699, kb_relative_information_score: 854.8183, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3602, predictive_accuracy: 0.3763, prior_entropy: 6.6439, recall: 0.3763, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, kappa: 0.3611, kb_relative_information_score: 849.299, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.3659, kappa: 0.3788, kb_relative_information_score: 854.5844, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3796, predictive_accuracy: 0.385, prior_entropy: 6.6439, recall: 0.385, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.3534, kappa: 0.3699, kb_relative_information_score: 852.8311, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3606, predictive_accuracy: 0.3763, prior_entropy: 6.6439, recall: 0.3763, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, kappa: 0.3333, kb_relative_information_score: 839.7006, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.4594, kappa: 0.4539, kb_relative_information_score: 852.5883, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4753, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.4666, kappa: 0.4596, kb_relative_information_score: 870.3675, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4843, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.3688, kappa: 0.3908, kb_relative_information_score: 853.7239, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3776, predictive_accuracy: 0.3969, prior_entropy: 6.6439, recall: 0.3969, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.4591, kappa: 0.4545, kb_relative_information_score: 835.348, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4681, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, kappa: 0.4356, kb_relative_information_score: 865.7292, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.4446, kappa: 0.44, kb_relative_information_score: 863.8282, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4593, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.4484, kappa: 0.4463, kb_relative_information_score: 869.7542, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4631, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.4162, kappa: 0.4236, kb_relative_information_score: 860.3771, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4193, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.4663, kappa: 0.4621, kb_relative_information_score: 865.0688, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4828, predictive_accuracy: 0.4675, prior_entropy: 6.6439, recall: 0.4675, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.4367, kappa: 0.435, kb_relative_information_score: 867.4641, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4508, predictive_accuracy: 0.4406, prior_entropy: 6.6439, recall: 0.4406, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.423, kb_relative_information_score: 869.5174, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4288, prior_entropy: 6.6439, recall: 0.4288, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.643, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.4369, kappa: 0.435, kb_relative_information_score: 874.8142, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4497, predictive_accuracy: 0.4406, prior_entropy: 6.6439, recall: 0.4406, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.3544, kappa: 0.3712, kb_relative_information_score: 856.2107, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.362, predictive_accuracy: 0.3775, prior_entropy: 6.6439, recall: 0.3775, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.1197, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.4129, kappa: 0.4236, kb_relative_information_score: 871.482, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4166, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, kappa: 0.3504, kb_relative_information_score: 851.5173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3569, prior_entropy: 6.6439, recall: 0.3569, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, kappa: 0.3409, kb_relative_information_score: 844.4176, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3475, prior_entropy: 6.6439, recall: 0.3475, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.4168, kappa: 0.4236, kb_relative_information_score: 862.2478, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4215, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.4619, kappa: 0.4564, kb_relative_information_score: 863.5033, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.476, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.414, kappa: 0.4242, kb_relative_information_score: 872.2194, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.418, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.4466, kappa: 0.4419, kb_relative_information_score: 864.5558, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4635, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.4466, kappa: 0.4419, kb_relative_information_score: 858.9112, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4618, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.4533, kappa: 0.4489, kb_relative_information_score: 862.897, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4698, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, kappa: 0.3428, kb_relative_information_score: 843.6245, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3494, prior_entropy: 6.6439, recall: 0.3494, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.4639, kappa: 0.4564, kb_relative_information_score: 833.2029, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4771, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.4823, kappa: 0.4792, kb_relative_information_score: 811.9973, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4953, predictive_accuracy: 0.4844, prior_entropy: 6.6439, recall: 0.4844, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.3533, kappa: 0.3699, kb_relative_information_score: 855.1725, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3612, predictive_accuracy: 0.3763, prior_entropy: 6.6439, recall: 0.3763, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.4651, kappa: 0.4596, kb_relative_information_score: 864.071, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4808, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.4471, kappa: 0.4426, kb_relative_information_score: 865.6841, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4652, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9043,

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