OpenML
Supervised Classification on one-hundred-plants-texture

Supervised Classification on one-hundred-plants-texture

Task 9956 Supervised Classification one-hundred-plants-texture 12911 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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12911 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3654, kappa: -0.0051, kb_relative_information_score: 4.0191, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.005, prior_entropy: 6.6438, recall: 0.005, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.5209, kappa: 0.5205, kb_relative_information_score: 838.3055, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5238, predictive_accuracy: 0.5253, prior_entropy: 6.6438, recall: 0.5253, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kb_relative_information_score: 31.1063, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, 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: 0.4653, kappa: -0, kb_relative_information_score: 38.0992, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, 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: 0.8633, kappa: 0.0758, kb_relative_information_score: 129.961, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0851, prior_entropy: 6.6438, recall: 0.0851, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.694, kappa: 0.6943, kb_relative_information_score: 849.7542, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7051, predictive_accuracy: 0.6973, prior_entropy: 6.6438, recall: 0.6973, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.7219, kappa: 0.7328, kb_relative_information_score: 1094.226, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7386, predictive_accuracy: 0.7355, prior_entropy: 6.6438, recall: 0.7355, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.6429, kappa: 0.6159, kb_relative_information_score: 840.6733, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7046, predictive_accuracy: 0.6198, prior_entropy: 6.6438, recall: 0.6198, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.7507, kappa: 0.7663, kb_relative_information_score: 1118.9667, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7701, predictive_accuracy: 0.7686, prior_entropy: 6.6438, recall: 0.7686, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.6812, kappa: 0.7031, kb_relative_information_score: 1115.6399, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6995, predictive_accuracy: 0.7061, prior_entropy: 6.6438, recall: 0.7061, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.6898, kb_relative_information_score: 910.6335, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6929, prior_entropy: 6.6438, recall: 0.6929, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, kappa: 0.4106, kb_relative_information_score: 595.6608, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4165, prior_entropy: 6.6438, recall: 0.4165, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, kappa: 0.6323, kb_relative_information_score: 1055.6206, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.636, prior_entropy: 6.6438, recall: 0.636, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.6494, kb_relative_information_score: 1042.6367, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6529, prior_entropy: 6.6438, recall: 0.6529, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, kappa: 0.4567, kb_relative_information_score: 0.2369, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4622, prior_entropy: 6.6438, recall: 0.4622, 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: 0.9874, kappa: 0.6406, kb_relative_information_score: 1001.0336, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6442, prior_entropy: 6.6438, recall: 0.6442, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.8299, kappa: 0.8301, kb_relative_information_score: 1401.3037, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8345, predictive_accuracy: 0.8318, prior_entropy: 6.6438, recall: 0.8318, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.6916, kappa: 0.7075, kb_relative_information_score: 1115.7316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7008, predictive_accuracy: 0.7104, prior_entropy: 6.6438, recall: 0.7104, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.7272, kappa: 0.7227, kb_relative_information_score: 888.5778, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7427, predictive_accuracy: 0.7255, prior_entropy: 6.6438, recall: 0.7255, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.7613, kappa: 0.7574, kb_relative_information_score: 915.823, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7727, predictive_accuracy: 0.7598, prior_entropy: 6.6438, recall: 0.7598, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: -0.002, kb_relative_information_score: 21.9425, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0075, prior_entropy: 6.6438, recall: 0.0075, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.7341, kb_relative_information_score: 982.9476, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7367, prior_entropy: 6.6438, recall: 0.7367, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.7099, kappa: 0.7202, kb_relative_information_score: 1190.9049, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7158, predictive_accuracy: 0.723, prior_entropy: 6.6438, recall: 0.723, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.6779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, kappa: 0.1592, kb_relative_information_score: 168.3182, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1676, prior_entropy: 6.6438, recall: 0.1676, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, kb_relative_information_score: 30.9035, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, 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: 0.9701, f_measure: 0.7283, kappa: 0.7341, kb_relative_information_score: 1193.8266, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.736, predictive_accuracy: 0.7367, prior_entropy: 6.6438, recall: 0.7367, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8438, kappa: 0.8383, kb_relative_information_score: 968.4677, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8565, predictive_accuracy: 0.8399, prior_entropy: 6.6438, recall: 0.8399, relative_absolute_error: 0.8139, 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: 0.9795, kappa: 0.5445, kb_relative_information_score: 938.5375, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.5491, prior_entropy: 6.6438, recall: 0.5491, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8164, kappa: 0.8181, kb_relative_information_score: 0.7857, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8241, predictive_accuracy: 0.8199, prior_entropy: 6.6438, recall: 0.8199, 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: 0.9938, f_measure: 0.8311, kappa: 0.832, kb_relative_information_score: 0.5793, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8367, predictive_accuracy: 0.8336, prior_entropy: 6.6438, recall: 0.8336, 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: 0.9896, f_measure: 0.8111, kappa: 0.8111, kb_relative_information_score: 0.3326, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8176, predictive_accuracy: 0.813, prior_entropy: 6.6438, recall: 0.813, 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: 0.3666, kappa: -0.0101, kb_relative_information_score: 23.8737, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, prior_entropy: 6.6438, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.6952, kappa: 0.7075, kb_relative_information_score: 1180.7577, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7004, predictive_accuracy: 0.7104, prior_entropy: 6.6438, recall: 0.7104, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3172, kappa: -0.0035, kb_relative_information_score: 11.14, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, 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: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.305, kappa: -0.0032, kb_relative_information_score: 23.4355, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0069, prior_entropy: 6.6438, recall: 0.0069, relative_absolute_error: 1.0002, 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: 0.9921, f_measure: 0.8271, kappa: 0.8219, kb_relative_information_score: 951.8038, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8362, predictive_accuracy: 0.8236, prior_entropy: 6.6438, recall: 0.8236, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, kappa: 0.6361, kb_relative_information_score: 870.3575, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6398, prior_entropy: 6.6438, recall: 0.6398, 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: 0.9929, kappa: 0.7549, kb_relative_information_score: 938.7767, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7573, prior_entropy: 6.6438, recall: 0.7573, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8245, kappa: 0.8256, kb_relative_information_score: 0.3863, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8313, predictive_accuracy: 0.8274, prior_entropy: 6.6438, recall: 0.8274, 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: 0.3628, kappa: -0.0035, kb_relative_information_score: 43.8412, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0063, prior_entropy: 6.6438, recall: 0.0063, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.7678, kappa: 0.7751, kb_relative_information_score: 0.3444, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7762, predictive_accuracy: 0.7774, prior_entropy: 6.6438, recall: 0.7774, 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: 0.9941, f_measure: 0.8518, kappa: 0.8465, kb_relative_information_score: 968.3672, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8643, predictive_accuracy: 0.848, prior_entropy: 6.6438, recall: 0.848, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7813, kappa: 0.7871, kb_relative_information_score: 1179.8462, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7924, predictive_accuracy: 0.7892, prior_entropy: 6.6438, recall: 0.7892, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.7157, kb_relative_information_score: 996.2552, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7186, prior_entropy: 6.6438, recall: 0.7186, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.3673, kappa: 0.331, kb_relative_information_score: 504.166, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.4833, predictive_accuracy: 0.3377, prior_entropy: 6.6438, recall: 0.3377, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.7402, kappa: 0.7341, kb_relative_information_score: 904.7451, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7546, predictive_accuracy: 0.7367, prior_entropy: 6.6438, recall: 0.7367, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, kappa: 0.6854, kb_relative_information_score: 1028.8045, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6886, prior_entropy: 6.6438, recall: 0.6886, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, kappa: -0.0009, kb_relative_information_score: 46.3922, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0088, prior_entropy: 6.6438, recall: 0.0088, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.6922, kappa: 0.6924, kb_relative_information_score: 844.1319, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7028, predictive_accuracy: 0.6954, prior_entropy: 6.6438, recall: 0.6954, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8515, kappa: 0.8471, kb_relative_information_score: 968.9566, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8638, predictive_accuracy: 0.8487, prior_entropy: 6.6438, recall: 0.8487, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.8272, kappa: 0.8206, kb_relative_information_score: 950.9686, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8423, predictive_accuracy: 0.8224, prior_entropy: 6.6438, recall: 0.8224, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.7616, kappa: 0.7492, kb_relative_information_score: 1261.2881, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7867, predictive_accuracy: 0.7517, prior_entropy: 6.6438, recall: 0.7517, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.411, kappa: 0.0033, kb_relative_information_score: 21.2533, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0131, prior_entropy: 6.6438, recall: 0.0131, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.7975, kappa: 0.8016, kb_relative_information_score: 0.4578, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8035, predictive_accuracy: 0.8036, prior_entropy: 6.6438, recall: 0.8036, 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: 0.9925, f_measure: 0.7456, kappa: 0.7574, kb_relative_information_score: 1156.9616, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7633, predictive_accuracy: 0.7598, prior_entropy: 6.6438, recall: 0.7598, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.07, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.6508, kappa: 0.6772, kb_relative_information_score: 1019.7587, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6675, predictive_accuracy: 0.6804, prior_entropy: 6.6438, recall: 0.6804, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.799, kappa: 0.7953, kb_relative_information_score: 930.6784, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8096, predictive_accuracy: 0.7974, prior_entropy: 6.6438, recall: 0.7974, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, kappa: 0.0146, kb_relative_information_score: 70.5582, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0244, prior_entropy: 6.6438, recall: 0.0244, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, kappa: 0.1472, kb_relative_information_score: 160.0389, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1557, prior_entropy: 6.6438, recall: 0.1557, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, kappa: 0.0066, kb_relative_information_score: 29.66, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0163, prior_entropy: 6.6438, recall: 0.0163, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.7407, kappa: 0.7498, kb_relative_information_score: 1123.1928, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7582, predictive_accuracy: 0.7523, prior_entropy: 6.6438, recall: 0.7523, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, kappa: 0.1901, kb_relative_information_score: 0.2083, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.1982, prior_entropy: 6.6438, recall: 0.1982, 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: 0.9657, kappa: 0.3576, kb_relative_information_score: 684.5067, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.364, prior_entropy: 6.6438, recall: 0.364, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, kappa: 0.7119, kb_relative_information_score: 1040.4717, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7148, prior_entropy: 6.6438, recall: 0.7148, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, kappa: 0.4107, kb_relative_information_score: 249.5957, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4165, prior_entropy: 6.6438, recall: 0.4165, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.7783, kappa: 0.7776, kb_relative_information_score: 0.2756, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7855, predictive_accuracy: 0.7799, prior_entropy: 6.6438, recall: 0.7799, 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: 0.9931, f_measure: 0.7933, kappa: 0.7991, kb_relative_information_score: 1200.462, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8064, predictive_accuracy: 0.8011, prior_entropy: 6.6438, recall: 0.8011, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.792, kappa: 0.7896, kb_relative_information_score: 903.0836, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8006, predictive_accuracy: 0.7917, prior_entropy: 6.6438, recall: 0.7917, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.5884, kappa: 0.6064, kb_relative_information_score: 1086.8462, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5938, predictive_accuracy: 0.6104, prior_entropy: 6.6438, recall: 0.6104, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8116, kappa: 0.8067, kb_relative_information_score: 947.2922, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8226, predictive_accuracy: 0.8086, prior_entropy: 6.6438, recall: 0.8086, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, kappa: 0.722, kb_relative_information_score: 1025.6959, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7248, prior_entropy: 6.6438, recall: 0.7248, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, kappa: -0.0003, kb_relative_information_score: 25.6748, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, 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: 0.9503, kappa: 0.4037, kb_relative_information_score: 489.9015, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4096, prior_entropy: 6.6438, recall: 0.4096, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.7258, kappa: 0.7328, kb_relative_information_score: 835.9253, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7423, predictive_accuracy: 0.7355, prior_entropy: 6.6438, recall: 0.7355, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, kappa: 0.4744, kb_relative_information_score: 973.2366, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4797, prior_entropy: 6.6438, recall: 0.4797, relative_absolute_error: 0.7444, 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: 0.9889, f_measure: 0.6945, kappa: 0.7107, kb_relative_information_score: 1152.8935, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7051, predictive_accuracy: 0.7136, prior_entropy: 6.6438, recall: 0.7136, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.7075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.7927, kappa: 0.7871, kb_relative_information_score: 939.7059, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8068, predictive_accuracy: 0.7892, prior_entropy: 6.6438, recall: 0.7892, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.7664, kappa: 0.7581, kb_relative_information_score: 931.6945, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7814, predictive_accuracy: 0.7605, prior_entropy: 6.6438, recall: 0.7605, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, kappa: 0.0682, kb_relative_information_score: 127.8616, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0775, prior_entropy: 6.6438, recall: 0.0775, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.803, kappa: 0.8048, kb_relative_information_score: 0.2903, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8119, predictive_accuracy: 0.8068, prior_entropy: 6.6438, recall: 0.8068, 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: 0.9286, kappa: 0.3102, kb_relative_information_score: 387.7114, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3171, prior_entropy: 6.6438, recall: 0.3171, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, kappa: 0.7195, kb_relative_information_score: 1011.7482, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.7223, prior_entropy: 6.6438, recall: 0.7223, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.7948, kappa: 0.7896, kb_relative_information_score: 1348.4123, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8084, predictive_accuracy: 0.7917, prior_entropy: 6.6438, recall: 0.7917, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.7733, kappa: 0.765, kb_relative_information_score: 933.3391, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7889, predictive_accuracy: 0.7674, prior_entropy: 6.6438, recall: 0.7674, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, kappa: 0.4612, kb_relative_information_score: 935.2326, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.4665, prior_entropy: 6.6438, recall: 0.4665, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4309, kappa: 0.0025, kb_relative_information_score: 29.2926, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0125, prior_entropy: 6.6438, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.6892, kb_relative_information_score: 893.8529, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.6923, prior_entropy: 6.6438, recall: 0.6923, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8183, kappa: 0.8048, kb_relative_information_score: 907.8224, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8437, predictive_accuracy: 0.8068, prior_entropy: 6.6438, recall: 0.8068, relative_absolute_error: 0.8142, 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: 0.9826, f_measure: 0.6784, kappa: 0.6848, kb_relative_information_score: 826.3553, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.6882, predictive_accuracy: 0.6879, prior_entropy: 6.6438, recall: 0.6879, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.7874, kappa: 0.7783, kb_relative_information_score: 890.0595, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.809, predictive_accuracy: 0.7805, prior_entropy: 6.6438, recall: 0.7805, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.7375, kappa: 0.7486, kb_relative_information_score: 1115.6932, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7562, predictive_accuracy: 0.7511, prior_entropy: 6.6438, recall: 0.7511, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.7528, kappa: 0.7631, kb_relative_information_score: 1109.2833, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7764, predictive_accuracy: 0.7655, prior_entropy: 6.6438, recall: 0.7655, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.7444, kappa: 0.7593, kb_relative_information_score: 1070.9906, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7722, predictive_accuracy: 0.7617, prior_entropy: 6.6438, recall: 0.7617, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2743, kappa: 0.0287, kb_relative_information_score: 6.0152, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0381, prior_entropy: 6.6438, recall: 0.0381, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.7358, kappa: 0.7385, kb_relative_information_score: 867.1938, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.7551, predictive_accuracy: 0.7411, prior_entropy: 6.6438, recall: 0.7411, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, kappa: 0.3247, kb_relative_information_score: 387.0232, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.3315, prior_entropy: 6.6438, recall: 0.3315, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, kappa: 0.0186, kb_relative_information_score: 43.0274, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0281, prior_entropy: 6.6438, recall: 0.0281, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, kappa: -0.0026, kb_relative_information_score: 50.1209, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0069, prior_entropy: 6.6438, recall: 0.0069, 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: 0.9942, f_measure: 0.8485, kappa: 0.844, kb_relative_information_score: 967.9118, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.861, predictive_accuracy: 0.8455, prior_entropy: 6.6438, recall: 0.8455, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, kappa: -0.0003, kb_relative_information_score: 56.0381, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, predictive_accuracy: 0.0094, prior_entropy: 6.6438, recall: 0.0094, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,

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