OpenML
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: 0.9354, f_measure: 0.8904, kappa: 0.7758, kb_relative_information_score: 34193.5178, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8905, predictive_accuracy: 0.8903, prior_entropy: 0.9835, recall: 0.8903, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8743, kappa: 0.7429, kb_relative_information_score: 31340.137, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8744, predictive_accuracy: 0.8743, prior_entropy: 0.9835, recall: 0.8743, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8794, kappa: 0.7532, kb_relative_information_score: 32121.753, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8793, prior_entropy: 0.9835, recall: 0.8793, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8773, kappa: 0.749, kb_relative_information_score: 31853.7224, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8774, predictive_accuracy: 0.8773, prior_entropy: 0.9835, recall: 0.8773, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8876, kappa: 0.7702, kb_relative_information_score: 33786.9707, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8878, predictive_accuracy: 0.8876, prior_entropy: 0.9835, recall: 0.8876, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8818, kappa: 0.7581, kb_relative_information_score: 32855.2517, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9835, recall: 0.8818, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8882, kappa: 0.7716, kb_relative_information_score: 34082.3494, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8885, predictive_accuracy: 0.8881, prior_entropy: 0.9835, recall: 0.8881, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8657, kappa: 0.7252, kb_relative_information_score: 30101.7534, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9835, recall: 0.8656, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8843, kappa: 0.7633, kb_relative_information_score: 33298.8667, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8844, predictive_accuracy: 0.8842, prior_entropy: 0.9835, recall: 0.8842, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8799, kappa: 0.7544, kb_relative_information_score: 32309.5849, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8801, predictive_accuracy: 0.8798, prior_entropy: 0.9835, recall: 0.8798, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8816, kappa: 0.7577, kb_relative_information_score: 32641.2294, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 0.9835, recall: 0.8816, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8821, kappa: 0.7591, kb_relative_information_score: 33477.7068, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8753, kappa: 0.745, kb_relative_information_score: 31550.7768, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8754, predictive_accuracy: 0.8752, prior_entropy: 0.9835, recall: 0.8752, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8657, kappa: 0.7252, kb_relative_information_score: 30101.7231, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9835, recall: 0.8656, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8903, kappa: 0.7758, kb_relative_information_score: 34391.6144, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8905, predictive_accuracy: 0.8902, prior_entropy: 0.9835, recall: 0.8902, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8778, kappa: 0.75, kb_relative_information_score: 32265.7398, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8779, predictive_accuracy: 0.8778, prior_entropy: 0.9835, recall: 0.8778, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.301, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8657, kappa: 0.7253, kb_relative_information_score: 30107.851, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.8657, prior_entropy: 0.9835, recall: 0.8657, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8821, kappa: 0.759, kb_relative_information_score: 33512.3606, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8823, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.872, kappa: 0.7381, kb_relative_information_score: 31091.4782, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.872, predictive_accuracy: 0.8719, prior_entropy: 0.9835, recall: 0.8719, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8651, kappa: 0.7241, kb_relative_information_score: 29969.1292, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8652, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8731, kappa: 0.7404, kb_relative_information_score: 31242.269, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8731, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8859, kappa: 0.7668, kb_relative_information_score: 33593.6971, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8861, predictive_accuracy: 0.8858, prior_entropy: 0.9835, recall: 0.8858, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8898, kappa: 0.7746, kb_relative_information_score: 34414.2072, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8899, predictive_accuracy: 0.8897, prior_entropy: 0.9835, recall: 0.8897, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8822, kappa: 0.7591, kb_relative_information_score: 32610.2119, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8823, predictive_accuracy: 0.8822, prior_entropy: 0.9835, recall: 0.8822, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8846, kappa: 0.7639, kb_relative_information_score: 33142.1828, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8846, predictive_accuracy: 0.8845, prior_entropy: 0.9835, recall: 0.8845, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8717, kappa: 0.7375, kb_relative_information_score: 30895.4826, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8718, predictive_accuracy: 0.8716, prior_entropy: 0.9835, recall: 0.8716, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8896, kappa: 0.7741, kb_relative_information_score: 34392.5519, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8896, predictive_accuracy: 0.8895, prior_entropy: 0.9835, recall: 0.8895, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8768, kappa: 0.748, kb_relative_information_score: 31817.4225, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8769, predictive_accuracy: 0.8768, prior_entropy: 0.9835, recall: 0.8768, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8777, kappa: 0.7499, kb_relative_information_score: 31875.7532, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8778, predictive_accuracy: 0.8777, prior_entropy: 0.9835, recall: 0.8777, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8859, kappa: 0.7666, kb_relative_information_score: 33753.3092, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.886, predictive_accuracy: 0.8858, prior_entropy: 0.9835, recall: 0.8858, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8714, kappa: 0.737, kb_relative_information_score: 30895.0432, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8715, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8794, kappa: 0.7533, kb_relative_information_score: 32112.168, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8795, predictive_accuracy: 0.8794, prior_entropy: 0.9835, recall: 0.8794, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8848, kappa: 0.7642, kb_relative_information_score: 33162.6841, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.8847, prior_entropy: 0.9835, recall: 0.8847, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.873, kappa: 0.7402, kb_relative_information_score: 31245.6423, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8731, predictive_accuracy: 0.873, prior_entropy: 0.9835, recall: 0.873, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.89, kappa: 0.775, kb_relative_information_score: 34449.1985, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 0.9835, recall: 0.89, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8681, kappa: 0.7301, kb_relative_information_score: 30462.316, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8754, kappa: 0.745, kb_relative_information_score: 31641.0009, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8754, predictive_accuracy: 0.8754, prior_entropy: 0.9835, recall: 0.8754, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8865, kappa: 0.7679, kb_relative_information_score: 34311.4065, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8866, predictive_accuracy: 0.8865, prior_entropy: 0.9835, recall: 0.8865, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8867, kappa: 0.7684, kb_relative_information_score: 33481.1981, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8866, prior_entropy: 0.9835, recall: 0.8866, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8805, kappa: 0.7557, kb_relative_information_score: 32353.7374, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8807, kappa: 0.756, kb_relative_information_score: 32547.5472, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8808, predictive_accuracy: 0.8806, prior_entropy: 0.9835, recall: 0.8806, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8652, kappa: 0.7242, kb_relative_information_score: 29956.0551, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8653, predictive_accuracy: 0.8651, prior_entropy: 0.9835, recall: 0.8651, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8881, kappa: 0.7714, kb_relative_information_score: 34053.3901, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8884, predictive_accuracy: 0.888, prior_entropy: 0.9835, recall: 0.888, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.294, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8729, kappa: 0.74, kb_relative_information_score: 31236.8913, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8729, prior_entropy: 0.9835, recall: 0.8729, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6099,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.877, kappa: 0.7483, kb_relative_information_score: 31838.8587, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.877, predictive_accuracy: 0.8769, prior_entropy: 0.9835, recall: 0.8769, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8714, kappa: 0.7369, kb_relative_information_score: 30883.9442, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8715, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8796, kappa: 0.7536, kb_relative_information_score: 32141.1515, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8796, predictive_accuracy: 0.8795, prior_entropy: 0.9835, recall: 0.8795, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8905, kappa: 0.7762, kb_relative_information_score: 34484.672, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8908, predictive_accuracy: 0.8904, prior_entropy: 0.9835, recall: 0.8904, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8847, kappa: 0.7646, kb_relative_information_score: 33846.2779, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8852, predictive_accuracy: 0.8845, prior_entropy: 0.9835, recall: 0.8845, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.306, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8743, kappa: 0.7427, kb_relative_information_score: 31329.4063, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9835, recall: 0.8742, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8769, kappa: 0.7484, kb_relative_information_score: 32028.6671, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8771, predictive_accuracy: 0.8768, prior_entropy: 0.9835, recall: 0.8768, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8672, kappa: 0.7283, kb_relative_information_score: 30259.8309, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8673, predictive_accuracy: 0.8671, prior_entropy: 0.9835, recall: 0.8671, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8777, kappa: 0.7497, kb_relative_information_score: 31872.7077, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8777, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8694, kappa: 0.7329, kb_relative_information_score: 30650.7411, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8695, predictive_accuracy: 0.8693, prior_entropy: 0.9835, recall: 0.8693, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8807, kappa: 0.7562, kb_relative_information_score: 32597.534, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8809, predictive_accuracy: 0.8806, prior_entropy: 0.9835, recall: 0.8806, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8852, kappa: 0.765, kb_relative_information_score: 33185.5553, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8852, predictive_accuracy: 0.8851, prior_entropy: 0.9835, recall: 0.8851, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5933,

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