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: 0.9086, f_measure: 0.8575, kappa: 0.7086, kb_relative_information_score: 0.6824, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8574, number_of_instances: 45312, precision: 0.8576, predictive_accuracy: 0.8574, prior_entropy: 0.9835, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6784, unweighted_recall: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7286, kappa: 0.4418, kb_relative_information_score: 0.316, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7311, number_of_instances: 45312, precision: 0.7292, predictive_accuracy: 0.7311, prior_entropy: 0.9835, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.846, unweighted_recall: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8737, kappa: 0.7417, kb_relative_information_score: 0.7071, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8736, number_of_instances: 45312, precision: 0.8738, predictive_accuracy: 0.8736, prior_entropy: 0.9835, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6249, unweighted_recall: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8049, kappa: 0.6001, kb_relative_information_score: 0.4974, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8051, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8051, prior_entropy: 0.9835, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7444, unweighted_recall: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8614, kappa: 0.7163, kb_relative_information_score: 0.6495, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8614, number_of_instances: 45312, precision: 0.8614, predictive_accuracy: 0.8614, prior_entropy: 0.9835, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6397, unweighted_recall: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8031, kappa: 0.5966, kb_relative_information_score: 0.4986, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8034, number_of_instances: 45312, precision: 0.803, predictive_accuracy: 0.8034, prior_entropy: 0.9835, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7497, unweighted_recall: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8081, kappa: 0.6072, kb_relative_information_score: 0.5239, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8082, number_of_instances: 45312, precision: 0.8081, predictive_accuracy: 0.8082, prior_entropy: 0.9835, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7473, unweighted_recall: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8605, kappa: 0.7148, kb_relative_information_score: 0.6719, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8604, number_of_instances: 45312, precision: 0.8607, predictive_accuracy: 0.8604, prior_entropy: 0.9835, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6521, unweighted_recall: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8488, kappa: 0.6907, kb_relative_information_score: 0.658, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8486, number_of_instances: 45312, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 0.9835, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6899, unweighted_recall: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8832, kappa: 0.7616, kb_relative_information_score: 0.7471, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4886, weighted_recall: 0.883, number_of_instances: 45312, precision: 0.8838, predictive_accuracy: 0.883, prior_entropy: 0.9835, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.625, unweighted_recall: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7432, kappa: 0.4727, kb_relative_information_score: 0.3532, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7442, number_of_instances: 45312, precision: 0.7429, predictive_accuracy: 0.7442, prior_entropy: 0.9835, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8289, unweighted_recall: 0.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8721, kappa: 0.7387, kb_relative_information_score: 0.7233, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8719, number_of_instances: 45312, precision: 0.8725, predictive_accuracy: 0.8719, prior_entropy: 0.9835, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6542, unweighted_recall: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7881, kappa: 0.5657, kb_relative_information_score: 0.4549, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7884, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.7884, prior_entropy: 0.9835, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.769, unweighted_recall: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8278, kappa: 0.648, kb_relative_information_score: 0.5893, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8276, number_of_instances: 45312, precision: 0.8281, predictive_accuracy: 0.8276, prior_entropy: 0.9835, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7146, unweighted_recall: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8587, kappa: 0.7109, kb_relative_information_score: 0.6465, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8586, number_of_instances: 45312, precision: 0.8588, predictive_accuracy: 0.8586, prior_entropy: 0.9835, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6426, unweighted_recall: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7798, kappa: 0.5493, kb_relative_information_score: 0.4578, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7798, number_of_instances: 45312, precision: 0.7798, predictive_accuracy: 0.7798, prior_entropy: 0.9835, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7794, unweighted_recall: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8145, kappa: 0.6199, kb_relative_information_score: 0.5413, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8147, number_of_instances: 45312, precision: 0.8143, predictive_accuracy: 0.8147, prior_entropy: 0.9835, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7319, unweighted_recall: 0.8093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8726, kappa: 0.7396, kb_relative_information_score: 0.7082, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8725, number_of_instances: 45312, precision: 0.8728, predictive_accuracy: 0.8725, prior_entropy: 0.9835, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6364, unweighted_recall: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8744, kappa: 0.7431, kb_relative_information_score: 0.6953, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8743, number_of_instances: 45312, precision: 0.8745, predictive_accuracy: 0.8743, prior_entropy: 0.9835, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6133, unweighted_recall: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8393, kappa: 0.6712, kb_relative_information_score: 0.6197, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8392, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8392, prior_entropy: 0.9835, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6913, unweighted_recall: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8594, kappa: 0.7121, kb_relative_information_score: 0.6539, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8594, number_of_instances: 45312, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9835, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6411, unweighted_recall: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8698, kappa: 0.7337, kb_relative_information_score: 0.6777, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8697, number_of_instances: 45312, precision: 0.8699, predictive_accuracy: 0.8697, prior_entropy: 0.9835, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6233, unweighted_recall: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7282, kappa: 0.4409, kb_relative_information_score: 0.3313, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7308, number_of_instances: 45312, precision: 0.7289, predictive_accuracy: 0.7308, prior_entropy: 0.9835, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8422, unweighted_recall: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8638, kappa: 0.7215, kb_relative_information_score: 0.6847, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8636, number_of_instances: 45312, precision: 0.864, predictive_accuracy: 0.8636, prior_entropy: 0.9835, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6436, unweighted_recall: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.804, kappa: 0.5985, kb_relative_information_score: 0.5172, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8042, number_of_instances: 45312, precision: 0.8039, predictive_accuracy: 0.8042, prior_entropy: 0.9835, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7471, unweighted_recall: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8009, kappa: 0.5919, kb_relative_information_score: 0.495, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8011, number_of_instances: 45312, precision: 0.8007, predictive_accuracy: 0.8011, prior_entropy: 0.9835, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.751, unweighted_recall: 0.7952,
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: 0.8884, f_measure: 0.891, kappa: 0.7769, kb_relative_information_score: 0.7747, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4886, weighted_recall: 0.891, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9835, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6679, unweighted_recall: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8923, 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: 0.2204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6639, unweighted_recall: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7699, kappa: 0.5264, kb_relative_information_score: 0.384, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7737, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7737, prior_entropy: 0.9835, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8011, unweighted_recall: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7564, kappa: 0.4987, kb_relative_information_score: 0.3535, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7611, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7611, prior_entropy: 0.9835, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7431,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7546, kappa: 0.4949, kb_relative_information_score: 0.3431, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7598, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7598, prior_entropy: 0.9835, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, unweighted_recall: 0.7408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7576, kappa: 0.5011, kb_relative_information_score: 0.3549, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7622, number_of_instances: 45312, precision: 0.7632, predictive_accuracy: 0.7622, prior_entropy: 0.9835, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.819, unweighted_recall: 0.7444,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.4982, kb_relative_information_score: 0.3524, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, weighted_recall: 0.761, number_of_instances: 45312, precision: 0.7621, predictive_accuracy: 0.761, prior_entropy: 0.9835, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, unweighted_recall: 0.7428,

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

OpenML bootcamp

From your own software

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

OpenML APIs