Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.753, kappa: 0.4937, kb_relative_information_score: 0.2492, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7628, number_of_instances: 45312, precision: 0.7738, predictive_accuracy: 0.7628, prior_entropy: 0.9835, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8477, unweighted_recall: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8927, kappa: 0.7805, kb_relative_information_score: 0.7783, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8927, number_of_instances: 45312, precision: 0.8927, predictive_accuracy: 0.8927, prior_entropy: 0.9835, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6626, unweighted_recall: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8915, kappa: 0.778, kb_relative_information_score: 0.7758, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8915, number_of_instances: 45312, precision: 0.8915, predictive_accuracy: 0.8915, prior_entropy: 0.9835, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6663, unweighted_recall: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8924, kappa: 0.7797, kb_relative_information_score: 0.7774, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8923, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8923, prior_entropy: 0.9835, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6638, unweighted_recall: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.892, kappa: 0.7789, kb_relative_information_score: 0.7766, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8919, number_of_instances: 45312, precision: 0.892, predictive_accuracy: 0.8919, prior_entropy: 0.9835, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.665, unweighted_recall: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.892, kappa: 0.7789, kb_relative_information_score: 0.7766, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8919, number_of_instances: 45312, precision: 0.892, predictive_accuracy: 0.8919, prior_entropy: 0.9835, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.665, unweighted_recall: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7574, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, unweighted_recall: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8677, kappa: 0.7285, kb_relative_information_score: 0.5919, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4886, weighted_recall: 0.868, number_of_instances: 45312, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9835, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6266, unweighted_recall: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8819, kappa: 0.758, kb_relative_information_score: 0.6489, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4886, weighted_recall: 0.882, number_of_instances: 45312, precision: 0.8818, predictive_accuracy: 0.882, prior_entropy: 0.9835, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5909, unweighted_recall: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8798, kappa: 0.7537, kb_relative_information_score: 0.6553, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8799, number_of_instances: 45312, precision: 0.8797, predictive_accuracy: 0.8799, prior_entropy: 0.9835, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5947, unweighted_recall: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8802, kappa: 0.7545, kb_relative_information_score: 0.6461, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8804, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.594, unweighted_recall: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8596, kappa: 0.7122, kb_relative_information_score: 0.6032, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8599, number_of_instances: 45312, precision: 0.8596, predictive_accuracy: 0.8599, prior_entropy: 0.9835, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6402, unweighted_recall: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8652, kappa: 0.7235, kb_relative_information_score: 0.5959, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8655, number_of_instances: 45312, precision: 0.8652, predictive_accuracy: 0.8655, prior_entropy: 0.9835, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6282, unweighted_recall: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8569, kappa: 0.7064, kb_relative_information_score: 0.5649, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8573, number_of_instances: 45312, precision: 0.857, predictive_accuracy: 0.8573, prior_entropy: 0.9835, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6476, unweighted_recall: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.814, kappa: 0.6173, kb_relative_information_score: 0.4516, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8161, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8161, prior_entropy: 0.9835, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, unweighted_recall: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8812, kappa: 0.7565, kb_relative_information_score: 0.6452, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8814, number_of_instances: 45312, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9835, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5911, unweighted_recall: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8614, kappa: 0.7158, kb_relative_information_score: 0.5754, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8618, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8618, prior_entropy: 0.9835, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.639, unweighted_recall: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8412, kappa: 0.674, kb_relative_information_score: 0.5145, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4886, weighted_recall: 0.842, number_of_instances: 45312, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9835, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6845, unweighted_recall: 0.8343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.883, kappa: 0.7603, kb_relative_information_score: 0.6636, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8831, number_of_instances: 45312, precision: 0.8829, predictive_accuracy: 0.8831, prior_entropy: 0.9835, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5873, unweighted_recall: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8511, kappa: 0.6945, kb_relative_information_score: 0.5487, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8516, number_of_instances: 45312, precision: 0.8513, predictive_accuracy: 0.8516, prior_entropy: 0.9835, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6601, unweighted_recall: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8593, kappa: 0.7113, kb_relative_information_score: 0.5835, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8597, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64, unweighted_recall: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8268, kappa: 0.6439, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4886, weighted_recall: 0.828, number_of_instances: 45312, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9835, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7122, unweighted_recall: 0.8183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8771, kappa: 0.7482, kb_relative_information_score: 0.6246, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8774, number_of_instances: 45312, precision: 0.8771, predictive_accuracy: 0.8774, prior_entropy: 0.9835, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6035, unweighted_recall: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8759, kappa: 0.7456, kb_relative_information_score: 0.6388, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8761, number_of_instances: 45312, precision: 0.8758, predictive_accuracy: 0.8761, prior_entropy: 0.9835, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6065, unweighted_recall: 0.8717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8751, kappa: 0.744, kb_relative_information_score: 0.6295, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8754, number_of_instances: 45312, precision: 0.8751, predictive_accuracy: 0.8754, prior_entropy: 0.9835, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059, unweighted_recall: 0.8706,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8852, kappa: 0.7648, kb_relative_information_score: 0.6583, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8854, number_of_instances: 45312, precision: 0.8852, predictive_accuracy: 0.8854, prior_entropy: 0.9835, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5837, unweighted_recall: 0.8815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8487, kappa: 0.6895, kb_relative_information_score: 0.5437, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8494, number_of_instances: 45312, precision: 0.849, predictive_accuracy: 0.8494, prior_entropy: 0.9835, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.666, unweighted_recall: 0.8424,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8782, kappa: 0.7505, kb_relative_information_score: 0.6516, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8783, number_of_instances: 45312, precision: 0.8781, predictive_accuracy: 0.8783, prior_entropy: 0.9835, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5999, unweighted_recall: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8849, kappa: 0.7643, kb_relative_information_score: 0.6602, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4886, weighted_recall: 0.885, number_of_instances: 45312, precision: 0.8849, predictive_accuracy: 0.885, prior_entropy: 0.9835, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5836, unweighted_recall: 0.8814,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8776, kappa: 0.7492, kb_relative_information_score: 0.6348, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8778, number_of_instances: 45312, precision: 0.8776, predictive_accuracy: 0.8778, prior_entropy: 0.9835, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6007, unweighted_recall: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8729, kappa: 0.7395, kb_relative_information_score: 0.6174, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8731, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8731, prior_entropy: 0.9835, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6109, unweighted_recall: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8848, kappa: 0.764, kb_relative_information_score: 0.6624, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4886, weighted_recall: 0.885, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.885, prior_entropy: 0.9835, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5852, unweighted_recall: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8327, kappa: 0.6563, kb_relative_information_score: 0.4874, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8337, number_of_instances: 45312, precision: 0.8335, predictive_accuracy: 0.8337, prior_entropy: 0.9835, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7031, unweighted_recall: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8857, kappa: 0.7658, kb_relative_information_score: 0.647, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8859, number_of_instances: 45312, precision: 0.8857, predictive_accuracy: 0.8859, prior_entropy: 0.9835, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5869, unweighted_recall: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8864, kappa: 0.7673, kb_relative_information_score: 0.6707, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8865, number_of_instances: 45312, precision: 0.8864, predictive_accuracy: 0.8865, prior_entropy: 0.9835, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5833, unweighted_recall: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8787, kappa: 0.7513, kb_relative_information_score: 0.636, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8789, number_of_instances: 45312, precision: 0.8787, predictive_accuracy: 0.8789, prior_entropy: 0.9835, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.598, unweighted_recall: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8487, kappa: 0.6895, kb_relative_information_score: 0.5351, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8493, number_of_instances: 45312, precision: 0.849, predictive_accuracy: 0.8493, prior_entropy: 0.9835, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6695, unweighted_recall: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8622, kappa: 0.7174, kb_relative_information_score: 0.5817, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8626, number_of_instances: 45312, precision: 0.8623, predictive_accuracy: 0.8626, prior_entropy: 0.9835, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6373, unweighted_recall: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8729, kappa: 0.7395, kb_relative_information_score: 0.6167, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8732, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8732, prior_entropy: 0.9835, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6102, unweighted_recall: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8763, kappa: 0.7464, kb_relative_information_score: 0.6284, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8765, number_of_instances: 45312, precision: 0.8763, predictive_accuracy: 0.8765, prior_entropy: 0.9835, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6044, unweighted_recall: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8604, kappa: 0.7135, kb_relative_information_score: 0.5749, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8608, number_of_instances: 45312, precision: 0.8605, predictive_accuracy: 0.8608, prior_entropy: 0.9835, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6402, unweighted_recall: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8522, kappa: 0.6966, kb_relative_information_score: 0.5491, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8528, number_of_instances: 45312, precision: 0.8524, predictive_accuracy: 0.8528, prior_entropy: 0.9835, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6592, unweighted_recall: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8773, kappa: 0.7486, kb_relative_information_score: 0.6461, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8775, number_of_instances: 45312, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9835, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019, unweighted_recall: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.878, kappa: 0.7501, kb_relative_information_score: 0.6425, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8782, number_of_instances: 45312, precision: 0.878, predictive_accuracy: 0.8782, prior_entropy: 0.9835, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.598, unweighted_recall: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8737, kappa: 0.741, kb_relative_information_score: 0.6117, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4886, weighted_recall: 0.874, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 0.9835, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6122, unweighted_recall: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7836, kappa: 0.555, kb_relative_information_score: 0.3813, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7894, number_of_instances: 45312, precision: 0.7956, predictive_accuracy: 0.7894, prior_entropy: 0.9835, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7671, unweighted_recall: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8802, kappa: 0.7545, kb_relative_information_score: 0.6462, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8804, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5932, unweighted_recall: 0.8763,

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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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