OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.6669, kappa: 0.6679, kb_relative_information_score: 1182.158, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.676, predictive_accuracy: 0.6713, prior_entropy: 6.6439, recall: 0.6713, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.61, kappa: 0.6395, kb_relative_information_score: 963.5053, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6635, predictive_accuracy: 0.6431, prior_entropy: 6.6439, recall: 0.6431, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8072, kappa: 0.8093, kb_relative_information_score: 1151.9509, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8175, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8303, kappa: 0.8365, kb_relative_information_score: 1074.6394, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8423, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8295, kappa: 0.8365, kb_relative_information_score: 905.3767, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8472, predictive_accuracy: 0.8381, prior_entropy: 6.6439, recall: 0.8381, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.832, kappa: 0.8352, kb_relative_information_score: 1166.6519, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.837, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.6854, kappa: 0.7014, kb_relative_information_score: 1091.7069, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7008, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.6985, kappa: 0.7128, kb_relative_information_score: 1012.5953, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7349, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, kappa: 0.5751, kb_relative_information_score: 1062.9734, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5794, prior_entropy: 6.6439, recall: 0.5794, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8327, kappa: 0.8403, kb_relative_information_score: 922.0189, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8519, predictive_accuracy: 0.8419, prior_entropy: 6.6439, recall: 0.8419, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6179, kappa: 0.6408, kb_relative_information_score: 1043.2497, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6323, predictive_accuracy: 0.6444, prior_entropy: 6.6439, recall: 0.6444, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.5915, kappa: 0.613, kb_relative_information_score: 1038.0431, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6099, predictive_accuracy: 0.6169, prior_entropy: 6.6439, recall: 0.6169, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.6618, kappa: 0.6761, kb_relative_information_score: 1096.4342, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6863, predictive_accuracy: 0.6794, prior_entropy: 6.6439, recall: 0.6794, relative_absolute_error: 0.708, 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: 0.9926, kappa: 0.69, kb_relative_information_score: 942.99, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6931, prior_entropy: 6.6439, recall: 0.6931, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.8534, kappa: 0.8586, kb_relative_information_score: 1071.1321, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8633, predictive_accuracy: 0.86, prior_entropy: 6.6439, recall: 0.86, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.7985, kappa: 0.8093, kb_relative_information_score: 946.154, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8255, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7541, kappa: 0.7626, kb_relative_information_score: 1056.1785, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7779, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7431, kappa: 0.7513, kb_relative_information_score: 1162.3431, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7518, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8025, kappa: 0.8112, kb_relative_information_score: 1055.5636, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.816, predictive_accuracy: 0.8131, prior_entropy: 6.6439, recall: 0.8131, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.6978, kappa: 0.7115, kb_relative_information_score: 976.4301, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7406, predictive_accuracy: 0.7144, prior_entropy: 6.6439, recall: 0.7144, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7699, kappa: 0.7797, kb_relative_information_score: 983.5417, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7883, predictive_accuracy: 0.7819, prior_entropy: 6.6439, recall: 0.7819, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6772, kappa: 0.6919, kb_relative_information_score: 1106.9994, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6821, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7292, kappa: 0.7399, kb_relative_information_score: 1041.4681, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7533, predictive_accuracy: 0.7425, prior_entropy: 6.6439, recall: 0.7425, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7966, kappa: 0.8068, kb_relative_information_score: 998.8182, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8141, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7688, kappa: 0.7734, kb_relative_information_score: 1145.693, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7816, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7926, kappa: 0.8024, kb_relative_information_score: 1025.6496, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8092, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.7889, 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: 0.9949, f_measure: 0.7356, kappa: 0.7481, kb_relative_information_score: 941.0135, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.769, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7021, kappa: 0.7102, kb_relative_information_score: 1138.8413, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7165, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.4849, kappa: 0.5, kb_relative_information_score: 1037.0876, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4991, predictive_accuracy: 0.505, prior_entropy: 6.6439, recall: 0.505, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8276, kappa: 0.834, kb_relative_information_score: 1083.5263, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8423, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8119, kappa: 0.8207, kb_relative_information_score: 798.319, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8306, predictive_accuracy: 0.8225, prior_entropy: 6.6439, recall: 0.8225, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6914, kappa: 0.7102, kb_relative_information_score: 953.8636, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7289, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7748, kappa: 0.7872, kb_relative_information_score: 863.5585, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8064, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7085, kappa: 0.7241, kb_relative_information_score: 1058.3921, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8013, kappa: 0.8093, kb_relative_information_score: 1061.4136, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8169, predictive_accuracy: 0.8113, prior_entropy: 6.6439, recall: 0.8113, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, kappa: 0.6705, kb_relative_information_score: 888.8088, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7695, kappa: 0.7753, kb_relative_information_score: 1099.1669, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7876, predictive_accuracy: 0.7775, prior_entropy: 6.6439, recall: 0.7775, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7812, kappa: 0.786, kb_relative_information_score: 1095.5679, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7951, predictive_accuracy: 0.7881, prior_entropy: 6.6439, recall: 0.7881, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7457, kappa: 0.7595, kb_relative_information_score: 974.3786, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7734, predictive_accuracy: 0.7619, prior_entropy: 6.6439, recall: 0.7619, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.4595, kappa: 0.4558, kb_relative_information_score: 980.4899, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.473, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.6324, 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: 0.9929, kappa: 0.6768, kb_relative_information_score: 946.5173, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.68, prior_entropy: 6.6439, recall: 0.68, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.821, kappa: 0.8258, kb_relative_information_score: 1103.3057, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8306, predictive_accuracy: 0.8275, prior_entropy: 6.6439, recall: 0.8275, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8229, kappa: 0.8283, kb_relative_information_score: 1009.7367, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8363, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7457, kappa: 0.7588, kb_relative_information_score: 1039.4593, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7683, predictive_accuracy: 0.7613, prior_entropy: 6.6439, recall: 0.7613, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8301, kappa: 0.8327, kb_relative_information_score: 1153.9082, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8374, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1207.1581, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8102, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8292, kappa: 0.8352, kb_relative_information_score: 1044.3197, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8423, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7191, kappa: 0.733, kb_relative_information_score: 1007.3701, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7511, predictive_accuracy: 0.7356, prior_entropy: 6.6439, recall: 0.7356, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7204, kappa: 0.7386, kb_relative_information_score: 1001.3662, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7547, predictive_accuracy: 0.7413, prior_entropy: 6.6439, recall: 0.7413, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7171, kappa: 0.733, kb_relative_information_score: 1007.5515, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7505, predictive_accuracy: 0.7356, prior_entropy: 6.6439, recall: 0.7356, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7258, kappa: 0.7412, kb_relative_information_score: 940.3435, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7541, predictive_accuracy: 0.7438, prior_entropy: 6.6439, recall: 0.7438, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.801, kappa: 0.81, kb_relative_information_score: 887.1829, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8263, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.8421, kappa: 0.8491, kb_relative_information_score: 996.3307, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8563, predictive_accuracy: 0.8506, prior_entropy: 6.6439, recall: 0.8506, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.6677, kappa: 0.6894, kb_relative_information_score: 911.3525, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.706, predictive_accuracy: 0.6925, prior_entropy: 6.6439, recall: 0.6925, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8173, kappa: 0.822, kb_relative_information_score: 1077.9994, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8295, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7485, kappa: 0.7607, kb_relative_information_score: 911.3086, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7802, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, kappa: 0.7052, kb_relative_information_score: 978.1396, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7785, kappa: 0.7885, kb_relative_information_score: 1016.1622, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7949, predictive_accuracy: 0.7906, prior_entropy: 6.6439, recall: 0.7906, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6745, kappa: 0.6938, kb_relative_information_score: 1013.9308, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7148, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.5287, kappa: 0.5284, kb_relative_information_score: 1094.5056, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5383, predictive_accuracy: 0.5331, prior_entropy: 6.6439, recall: 0.5331, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, kappa: 0.3794, kb_relative_information_score: 932.2175, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.589, kappa: 0.6054, kb_relative_information_score: 1085.438, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.612, predictive_accuracy: 0.6094, prior_entropy: 6.6439, recall: 0.6094, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.473, kappa: 0.4665, kb_relative_information_score: 942.5506, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4897, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7191, kappa: 0.7342, kb_relative_information_score: 926.8981, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7516, predictive_accuracy: 0.7369, prior_entropy: 6.6439, recall: 0.7369, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7926, kappa: 0.803, kb_relative_information_score: 984.95, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8125, predictive_accuracy: 0.805, prior_entropy: 6.6439, recall: 0.805, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, kappa: 0.4394, kb_relative_information_score: 979.9753, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.445, prior_entropy: 6.6439, recall: 0.445, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, kappa: 0.3472, kb_relative_information_score: 876.0528, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3538, prior_entropy: 6.6439, recall: 0.3538, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, kappa: 0.5833, kb_relative_information_score: 895.5485, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5875, prior_entropy: 6.6439, recall: 0.5875, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7971, kappa: 0.8005, kb_relative_information_score: 1158.9352, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8074, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7165, kappa: 0.7311, kb_relative_information_score: 1029.9341, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7399, predictive_accuracy: 0.7338, prior_entropy: 6.6439, recall: 0.7338, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6484, kappa: 0.6692, kb_relative_information_score: 1015.9618, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6898, predictive_accuracy: 0.6725, prior_entropy: 6.6439, recall: 0.6725, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7449, kappa: 0.7532, kb_relative_information_score: 1135.4028, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7632, predictive_accuracy: 0.7556, prior_entropy: 6.6439, recall: 0.7556, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8374, kappa: 0.8434, kb_relative_information_score: 950.2575, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8491, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.6995, kappa: 0.7165, kb_relative_information_score: 914.8805, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7434, predictive_accuracy: 0.7194, prior_entropy: 6.6439, recall: 0.7194, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, kappa: 0.5638, kb_relative_information_score: 1041.8612, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5681, prior_entropy: 6.6439, recall: 0.5681, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, kappa: 0.5227, kb_relative_information_score: 970.327, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5275, prior_entropy: 6.6439, recall: 0.5275, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, kappa: 0.5429, kb_relative_information_score: 1005.4945, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5475, prior_entropy: 6.6439, recall: 0.5475, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.7126, kappa: 0.7266, kb_relative_information_score: 1077.6592, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.731, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.6924, kappa: 0.7071, kb_relative_information_score: 996.0835, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7261, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7215, kappa: 0.733, kb_relative_information_score: 1070.0999, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7427, predictive_accuracy: 0.7356, prior_entropy: 6.6439, recall: 0.7356, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8351, kappa: 0.8384, kb_relative_information_score: 1188.9281, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, kappa: 0.464, kb_relative_information_score: 992.4054, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4694, prior_entropy: 6.6439, recall: 0.4694, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7848, kappa: 0.7923, kb_relative_information_score: 1054.8941, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7998, predictive_accuracy: 0.7944, prior_entropy: 6.6439, recall: 0.7944, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8047, kappa: 0.8068, kb_relative_information_score: 1155.2235, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8144, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8149, kappa: 0.822, kb_relative_information_score: 1042.0572, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8295, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8027, kappa: 0.8049, kb_relative_information_score: 1213.1655, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8096, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.6805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7752, kappa: 0.7822, kb_relative_information_score: 1092.4335, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7916, predictive_accuracy: 0.7844, prior_entropy: 6.6439, recall: 0.7844, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7059, kappa: 0.7184, kb_relative_information_score: 989.7688, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7391, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.5638, kappa: 0.5909, kb_relative_information_score: 988.6957, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6055, predictive_accuracy: 0.595, prior_entropy: 6.6439, recall: 0.595, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.754, kappa: 0.7563, kb_relative_information_score: 1190.3569, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7664, predictive_accuracy: 0.7588, prior_entropy: 6.6439, recall: 0.7588, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, kappa: 0.392, kb_relative_information_score: 947.4454, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3981, prior_entropy: 6.6439, recall: 0.3981, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, kappa: 0.4729, kb_relative_information_score: 976.8979, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, kappa: 0.3794, kb_relative_information_score: 932.2175, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.6893, kappa: 0.709, kb_relative_information_score: 1032.8564, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7251, predictive_accuracy: 0.7119, prior_entropy: 6.6439, recall: 0.7119, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7364, kappa: 0.75, kb_relative_information_score: 1067.2028, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7605, predictive_accuracy: 0.7525, prior_entropy: 6.6439, recall: 0.7525, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.6683, kappa: 0.6875, kb_relative_information_score: 1061.0603, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6924, predictive_accuracy: 0.6906, prior_entropy: 6.6439, recall: 0.6906, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.6612, kappa: 0.6824, kb_relative_information_score: 943.5922, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7041, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, kappa: 0.5215, kb_relative_information_score: 988.6294, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5263, prior_entropy: 6.6439, recall: 0.5263, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7997, kappa: 0.8049, kb_relative_information_score: 1075.2757, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8162, predictive_accuracy: 0.8069, prior_entropy: 6.6439, recall: 0.8069, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7815, kappa: 0.7841, kb_relative_information_score: 1163.4426, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7925, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.7242,

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