OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13717 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: 0.9956, f_measure: 0.7557, kappa: 0.7664, kb_relative_information_score: 1060.1259, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7748, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.7621, 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: 0.8503, f_measure: 0.3878, kappa: 0.4028, kb_relative_information_score: 851.1749, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.401, predictive_accuracy: 0.4088, prior_entropy: 6.6439, recall: 0.4088, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6401, kappa: 0.6515, kb_relative_information_score: 1125.3118, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6478, predictive_accuracy: 0.655, prior_entropy: 6.6439, recall: 0.655, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.7223, kappa: 0.7273, kb_relative_information_score: 1179.5986, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7331, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7756, kappa: 0.7803, kb_relative_information_score: 1127.2822, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7854, predictive_accuracy: 0.7825, prior_entropy: 6.6439, recall: 0.7825, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.4236, kappa: 0.428, kb_relative_information_score: 875.101, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4328, predictive_accuracy: 0.4338, prior_entropy: 6.6439, recall: 0.4338, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.749, kappa: 0.7582, kb_relative_information_score: 1052.445, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7687, predictive_accuracy: 0.7606, prior_entropy: 6.6439, recall: 0.7606, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.5006, kappa: 0.5139, kb_relative_information_score: 1045.9173, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5108, predictive_accuracy: 0.5188, prior_entropy: 6.6439, recall: 0.5188, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7826, kappa: 0.791, kb_relative_information_score: 1069.3591, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7957, predictive_accuracy: 0.7931, prior_entropy: 6.6439, recall: 0.7931, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.7948, kappa: 0.7866, kb_relative_information_score: 1348.0378, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8175, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.4635, kappa: 0.4577, kb_relative_information_score: 863.5291, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4777, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.4695, kappa: 0.4646, kb_relative_information_score: 873.4781, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4846, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, kappa: -0.0025, kb_relative_information_score: 34.489, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9995, 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: 0.9947, f_measure: 0.7233, kappa: 0.7317, kb_relative_information_score: 1085.8486, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.744, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.7848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7729, kappa: 0.7778, kb_relative_information_score: 1120.5639, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7854, predictive_accuracy: 0.78, prior_entropy: 6.6439, recall: 0.78, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.37, kappa: 0.392, kb_relative_information_score: 853.9172, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3787, predictive_accuracy: 0.3981, prior_entropy: 6.6439, recall: 0.3981, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.3528, kappa: 0.3693, kb_relative_information_score: 854.7581, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3597, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.4023, kappa: 0.411, kb_relative_information_score: 860.7006, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4093, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3157, kb_relative_information_score: 829.102, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3225, prior_entropy: 6.6439, recall: 0.3225, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.705, kappa: 0.7172, kb_relative_information_score: 1043.6569, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7307, predictive_accuracy: 0.72, prior_entropy: 6.6439, recall: 0.72, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.5958, kappa: 0.5991, kb_relative_information_score: 1143.5684, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6001, predictive_accuracy: 0.6031, prior_entropy: 6.6439, recall: 0.6031, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.706, kappa: 0.7247, kb_relative_information_score: 899.6033, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7485, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.6824, kb_relative_information_score: 925.4688, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7274, kappa: 0.7418, kb_relative_information_score: 910.5473, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7579, predictive_accuracy: 0.7444, prior_entropy: 6.6439, recall: 0.7444, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6863, kappa: 0.7045, kb_relative_information_score: 950.3998, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7199, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.7442, kappa: 0.7437, kb_relative_information_score: 904.5099, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7639, predictive_accuracy: 0.7463, prior_entropy: 6.6439, recall: 0.7463, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, kappa: 0.4249, kb_relative_information_score: 872.1433, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, kappa: 0.3264, kb_relative_information_score: 839.6052, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.4367, kappa: 0.4356, kb_relative_information_score: 874.2616, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4485, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7804, kappa: 0.7885, kb_relative_information_score: 1163.7759, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.792, predictive_accuracy: 0.7906, prior_entropy: 6.6439, recall: 0.7906, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7579, kappa: 0.7696, kb_relative_information_score: 1070.1899, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7779, predictive_accuracy: 0.7719, prior_entropy: 6.6439, recall: 0.7719, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.704, kappa: 0.7222, kb_relative_information_score: 968.6776, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7389, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.4183, kappa: 0.4249, kb_relative_information_score: 862.3988, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4216, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.688, kappa: 0.7045, kb_relative_information_score: 1079.2877, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7164, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.5265, kappa: 0.5335, kb_relative_information_score: 1081.1471, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.535, predictive_accuracy: 0.5381, prior_entropy: 6.6439, recall: 0.5381, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.709, kappa: 0.7254, kb_relative_information_score: 1034.8901, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7384, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.7759, 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: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, kappa: 0.3232, kb_relative_information_score: 840.2221, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.33, prior_entropy: 6.6439, recall: 0.33, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.0296, kappa: 0.0631, kb_relative_information_score: 112.7613, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0223, predictive_accuracy: 0.0725, prior_entropy: 6.6439, recall: 0.0725, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1362, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7145, kappa: 0.7197, kb_relative_information_score: 1162.6676, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7303, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.4459, kappa: 0.4419, kb_relative_information_score: 865.1924, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4597, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7289, kappa: 0.7412, kb_relative_information_score: 1045.7704, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7497, predictive_accuracy: 0.7438, prior_entropy: 6.6439, recall: 0.7438, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.6449, kappa: 0.6654, kb_relative_information_score: 1027.8454, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6711, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.4721, kappa: 0.4678, kb_relative_information_score: 785.319, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4836, predictive_accuracy: 0.4731, prior_entropy: 6.6439, recall: 0.4731, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7075, kappa: 0.721, kb_relative_information_score: 1017.482, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7313, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7658, kappa: 0.7715, kb_relative_information_score: 1123.0083, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7825, predictive_accuracy: 0.7738, prior_entropy: 6.6439, recall: 0.7738, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.355, kappa: 0.3718, kb_relative_information_score: 856.9386, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3628, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7485, kappa: 0.7588, kb_relative_information_score: 1094.9562, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7717, predictive_accuracy: 0.7613, prior_entropy: 6.6439, recall: 0.7613, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, kappa: 0.6193, kb_relative_information_score: 1005.7445, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6231, prior_entropy: 6.6439, recall: 0.6231, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.4254, kappa: 0.4274, kb_relative_information_score: 866.9248, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4387, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.354, kappa: 0.3706, kb_relative_information_score: 854.8445, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3618, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.4718, kappa: 0.464, kb_relative_information_score: 830.6331, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4867, predictive_accuracy: 0.4694, prior_entropy: 6.6439, recall: 0.4694, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.4015, kappa: 0.4104, kb_relative_information_score: 861.7719, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4073, predictive_accuracy: 0.4163, prior_entropy: 6.6439, recall: 0.4163, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, kappa: 0.4249, kb_relative_information_score: 871.7265, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.3699, kappa: 0.392, kb_relative_information_score: 856.1355, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3773, predictive_accuracy: 0.3981, prior_entropy: 6.6439, recall: 0.3981, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.0022, kappa: 0.0025, kb_relative_information_score: 192.5522, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0013, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.3769, kappa: 0.387, kb_relative_information_score: 852.9188, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3917, predictive_accuracy: 0.3931, prior_entropy: 6.6439, recall: 0.3931, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.3776, kappa: 0.3883, kb_relative_information_score: 852.9063, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3919, predictive_accuracy: 0.3944, prior_entropy: 6.6439, recall: 0.3944, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.6324, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.4726, kappa: 0.4678, kb_relative_information_score: 845.4441, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4841, predictive_accuracy: 0.4731, prior_entropy: 6.6439, recall: 0.4731, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.4419, kappa: 0.4381, kb_relative_information_score: 863.8636, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4573, predictive_accuracy: 0.4438, prior_entropy: 6.6439, recall: 0.4438, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.3638, kappa: 0.3775, kb_relative_information_score: 852.8118, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3769, predictive_accuracy: 0.3838, prior_entropy: 6.6439, recall: 0.3838, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7383, kappa: 0.7494, kb_relative_information_score: 1067.3316, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7556, predictive_accuracy: 0.7519, prior_entropy: 6.6439, recall: 0.7519, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6791, kappa: 0.6957, kb_relative_information_score: 996.9062, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7084, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.8071, 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: 0.8151, f_measure: 0.4387, kappa: 0.4362, kb_relative_information_score: 857.8295, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4531, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.5953, kb_relative_information_score: 895.7206, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5994, prior_entropy: 6.6439, recall: 0.5994, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 839.9692, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, kappa: 0.334, kb_relative_information_score: 841.3607, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3406, prior_entropy: 6.6439, recall: 0.3406, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 839.9798, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.3661, kappa: 0.3794, kb_relative_information_score: 854.4215, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3808, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.4735, kappa: 0.4697, kb_relative_information_score: 801.7945, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4852, predictive_accuracy: 0.475, prior_entropy: 6.6439, recall: 0.475, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.4395, kappa: 0.4356, kb_relative_information_score: 873.0946, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4557, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.4665, kappa: 0.4609, kb_relative_information_score: 811.3351, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4796, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.5028, kappa: 0.5177, kb_relative_information_score: 1045.96, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5211, predictive_accuracy: 0.5225, prior_entropy: 6.6439, recall: 0.5225, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.4569, kappa: 0.4501, kb_relative_information_score: 853.6555, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4747, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.455, kappa: 0.4508, kb_relative_information_score: 859.2355, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4677, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7576, kappa: 0.7658, kb_relative_information_score: 1035.3706, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7802, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8131, kappa: 0.8201, kb_relative_information_score: 1086.7218, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8281, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.5763, kappa: 0.6023, kb_relative_information_score: 987.9288, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6268, predictive_accuracy: 0.6063, prior_entropy: 6.6439, recall: 0.6063, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8038, kappa: 0.8056, kb_relative_information_score: 1187.9794, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8135, predictive_accuracy: 0.8075, prior_entropy: 6.6439, recall: 0.8075, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.4026, kappa: 0.411, kb_relative_information_score: 862.3123, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4108, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.4496, kappa: 0.447, kb_relative_information_score: 871.4229, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4625, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.4446, kappa: 0.4413, kb_relative_information_score: 865.5634, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4581, predictive_accuracy: 0.4469, prior_entropy: 6.6439, recall: 0.4469, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.3539, kappa: 0.3706, kb_relative_information_score: 855.0809, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3615, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.961, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3169, prior_entropy: 6.6439, recall: 0.3169, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.6609, kappa: 0.6635, kb_relative_information_score: 1165.4063, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6707, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7925, kappa: 0.7967, kb_relative_information_score: 1157.6799, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8026, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.4657, kappa: 0.4602, kb_relative_information_score: 856.5819, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4825, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8199, kappa: 0.822, kb_relative_information_score: 1237.1688, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.827, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.4586, kappa: 0.4527, kb_relative_information_score: 847.9117, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4731, predictive_accuracy: 0.4581, prior_entropy: 6.6439, recall: 0.4581, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.4065, kappa: 0.4116, kb_relative_information_score: 868.8852, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4126, predictive_accuracy: 0.4175, prior_entropy: 6.6439, recall: 0.4175, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.2446, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.4621, kappa: 0.4571, kb_relative_information_score: 857.2578, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4737, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.4597, kappa: 0.4533, kb_relative_information_score: 827.5737, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4801, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.4038, kappa: 0.4122, kb_relative_information_score: 861.1748, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4099, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6122, kappa: 0.6301, kb_relative_information_score: 1080.5587, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6464, predictive_accuracy: 0.6338, prior_entropy: 6.6439, recall: 0.6338, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.7846,

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