OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13586.1328, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8512, scimark_benchmark: 1822.3208, usercpu_time_millis: 19.478, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 18.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7489, kappa: 0.4847, kb_relative_information_score: 9941.0759, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7664, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8674, scimark_benchmark: 1789.9771, usercpu_time_millis: 34.417, usercpu_time_millis_testing: 4.087, usercpu_time_millis_training: 30.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 11358.7292, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8642, scimark_benchmark: 1815.614, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8291, kappa: 0.6493, kb_relative_information_score: 23082.1266, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8291, predictive_accuracy: 0.8296, prior_entropy: 0.9835, recall: 0.8296, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6975, scimark_benchmark: 1846.7651, usercpu_time_millis: 546.953, usercpu_time_millis_testing: 23.091, usercpu_time_millis_training: 523.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8141, kappa: 0.6187, kb_relative_information_score: 21362.6337, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8139, predictive_accuracy: 0.8145, prior_entropy: 0.9835, recall: 0.8145, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7301, scimark_benchmark: 1844.2371, usercpu_time_millis: 486.353, usercpu_time_millis_testing: 18.582, usercpu_time_millis_training: 467.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.832, kappa: 0.6553, kb_relative_information_score: 23046.8788, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8321, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6938, scimark_benchmark: 1843.2259, usercpu_time_millis: 483.842, usercpu_time_millis_testing: 23.719, usercpu_time_millis_training: 460.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8323, kappa: 0.656, kb_relative_information_score: 23135.2849, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8328, prior_entropy: 0.9835, recall: 0.8328, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694, scimark_benchmark: 1853.454, usercpu_time_millis: 428.776, usercpu_time_millis_testing: 20.457, usercpu_time_millis_training: 408.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8157, kappa: 0.622, kb_relative_information_score: 21189.7357, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8155, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7302, scimark_benchmark: 1858.6076, usercpu_time_millis: 427.717, usercpu_time_millis_testing: 17.339, usercpu_time_millis_training: 410.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8128, kappa: 0.6161, kb_relative_information_score: 20735.4817, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8132, prior_entropy: 0.9835, recall: 0.8132, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7376, scimark_benchmark: 1817.5042, usercpu_time_millis: 391.126, usercpu_time_millis_testing: 21.21, usercpu_time_millis_training: 369.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8429, kappa: 0.6777, kb_relative_information_score: 23997.4356, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6749, scimark_benchmark: 1815.8316, usercpu_time_millis: 378.386, usercpu_time_millis_testing: 15.85, usercpu_time_millis_training: 362.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8077, kappa: 0.6061, kb_relative_information_score: 20392.8986, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.8079, prior_entropy: 0.9835, recall: 0.8079, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7469, scimark_benchmark: 1846.6923, usercpu_time_millis: 339.406, usercpu_time_millis_testing: 15.592, usercpu_time_millis_training: 323.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8015, kappa: 0.5927, kb_relative_information_score: 19584.2601, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8015, predictive_accuracy: 0.8022, prior_entropy: 0.9835, recall: 0.8022, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7591, scimark_benchmark: 1846.6923, usercpu_time_millis: 338.799, usercpu_time_millis_testing: 16.996, usercpu_time_millis_training: 321.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.863, kappa: 0.7191, kb_relative_information_score: 26207.5463, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8629, predictive_accuracy: 0.8632, prior_entropy: 0.9835, recall: 0.8632, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6345, scimark_benchmark: 1853.5818, usercpu_time_millis: 337.716, usercpu_time_millis_testing: 10.346, usercpu_time_millis_training: 327.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8163, kappa: 0.6227, kb_relative_information_score: 20530.4147, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8168, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7318, scimark_benchmark: 1816.7102, usercpu_time_millis: 316.877, usercpu_time_millis_testing: 20.001, usercpu_time_millis_training: 296.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8172, kappa: 0.6249, kb_relative_information_score: 21327.2338, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8172, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7248, scimark_benchmark: 1817.5919, usercpu_time_millis: 279.898, usercpu_time_millis_testing: 11.988, usercpu_time_millis_training: 267.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7966, kappa: 0.5826, kb_relative_information_score: 18797.4067, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7965, predictive_accuracy: 0.7973, prior_entropy: 0.9835, recall: 0.7973, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7661, scimark_benchmark: 1733.7613, usercpu_time_millis: 267.785, usercpu_time_millis_testing: 15.351, usercpu_time_millis_training: 252.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8001, kappa: 0.5898, kb_relative_information_score: 19734.8874, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8001, predictive_accuracy: 0.8009, prior_entropy: 0.9835, recall: 0.8009, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.758, scimark_benchmark: 1713.9003, usercpu_time_millis: 258.441, usercpu_time_millis_testing: 11.694, usercpu_time_millis_training: 246.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8766, kappa: 0.7473, kb_relative_information_score: 27498.2853, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8766, predictive_accuracy: 0.8767, prior_entropy: 0.9835, recall: 0.8767, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6105, scimark_benchmark: 1813.514, usercpu_time_millis: 253.868, usercpu_time_millis_testing: 7.022, usercpu_time_millis_training: 246.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8355, kappa: 0.6626, kb_relative_information_score: 23552.2005, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9835, recall: 0.836, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6867, scimark_benchmark: 1853.5818, usercpu_time_millis: 275.272, usercpu_time_millis_testing: 9.646, usercpu_time_millis_training: 265.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8038, kappa: 0.5975, kb_relative_information_score: 19953.3445, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7512, scimark_benchmark: 1848.916, usercpu_time_millis: 239.683, usercpu_time_millis_testing: 12.743, usercpu_time_millis_training: 226.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8243, kappa: 0.6395, kb_relative_information_score: 22725.1413, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8243, predictive_accuracy: 0.8248, prior_entropy: 0.9835, recall: 0.8248, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7072, scimark_benchmark: 1781.5037, usercpu_time_millis: 233.775, usercpu_time_millis_testing: 9.081, usercpu_time_millis_training: 224.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8256, kappa: 0.642, kb_relative_information_score: 21933.0681, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8259, predictive_accuracy: 0.8264, prior_entropy: 0.9835, recall: 0.8264, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7077, scimark_benchmark: 1833.639, usercpu_time_millis: 258.778, usercpu_time_millis_testing: 17.985, usercpu_time_millis_training: 240.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8848, kappa: 0.7638, kb_relative_information_score: 27970.4684, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8847, predictive_accuracy: 0.8849, prior_entropy: 0.9835, recall: 0.8849, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5953, scimark_benchmark: 1732.8983, usercpu_time_millis: 211.744, usercpu_time_millis_testing: 6.692, usercpu_time_millis_training: 205.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8317, kappa: 0.6545, kb_relative_information_score: 22650.9567, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8319, predictive_accuracy: 0.8324, prior_entropy: 0.9835, recall: 0.8324, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6947, scimark_benchmark: 1844.6953, usercpu_time_millis: 236.564, usercpu_time_millis_testing: 12.218, usercpu_time_millis_training: 224.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7932, kappa: 0.5762, kb_relative_information_score: 18384.1113, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7792, scimark_benchmark: 1798.7937, usercpu_time_millis: 229.745, usercpu_time_millis_testing: 14.261, usercpu_time_millis_training: 215.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8105, kappa: 0.61, kb_relative_information_score: 19297.95, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8135, predictive_accuracy: 0.8127, prior_entropy: 0.9835, recall: 0.8127, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7415, scimark_benchmark: 1801.9238, usercpu_time_millis: 209.406, usercpu_time_millis_testing: 15.883, usercpu_time_millis_training: 193.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8319, kappa: 0.6551, kb_relative_information_score: 23086.1821, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8319, predictive_accuracy: 0.8324, prior_entropy: 0.9835, recall: 0.8324, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694, scimark_benchmark: 1856.5802, usercpu_time_millis: 254.554, usercpu_time_millis_testing: 15.713, usercpu_time_millis_training: 238.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7839, kappa: 0.5554, kb_relative_information_score: 17894.2522, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7932, predictive_accuracy: 0.7889, prior_entropy: 0.9835, recall: 0.7889, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7722, scimark_benchmark: 1781.9619, usercpu_time_millis: 216.829, usercpu_time_millis_testing: 16.367, usercpu_time_millis_training: 200.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7928, kappa: 0.5735, kb_relative_information_score: 17831.662, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7999, predictive_accuracy: 0.7968, prior_entropy: 0.9835, recall: 0.7968, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7639, scimark_benchmark: 1721.7951, usercpu_time_millis: 204.866, usercpu_time_millis_testing: 17.303, usercpu_time_millis_training: 187.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8058, kappa: 0.6006, kb_relative_information_score: 19010.484, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.9835, recall: 0.8077, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7561, scimark_benchmark: 1852.5406, usercpu_time_millis: 261.396, usercpu_time_millis_testing: 16.785, usercpu_time_millis_training: 244.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7892, kappa: 0.5664, kb_relative_information_score: 18081.5625, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9835, recall: 0.7913, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7748, scimark_benchmark: 1835.093, usercpu_time_millis: 230.863, usercpu_time_millis_testing: 15.734, usercpu_time_millis_training: 215.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8302, kappa: 0.6516, kb_relative_information_score: 22623.2468, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8304, predictive_accuracy: 0.8309, prior_entropy: 0.9835, recall: 0.8309, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6979, scimark_benchmark: 1854.568, usercpu_time_millis: 260.113, usercpu_time_millis_testing: 17.895, usercpu_time_millis_training: 242.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.825, kappa: 0.6406, kb_relative_information_score: 21931.8, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8253, predictive_accuracy: 0.8258, prior_entropy: 0.9835, recall: 0.8258, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7084, scimark_benchmark: 1782.4928, usercpu_time_millis: 207.776, usercpu_time_millis_testing: 10.678, usercpu_time_millis_training: 197.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8202, kappa: 0.6309, kb_relative_information_score: 21241.9971, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8205, predictive_accuracy: 0.821, prior_entropy: 0.9835, recall: 0.821, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7203, scimark_benchmark: 1818.4874, usercpu_time_millis: 232.682, usercpu_time_millis_testing: 13.939, usercpu_time_millis_training: 218.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.849, kappa: 0.6903, kb_relative_information_score: 24683.3221, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8491, predictive_accuracy: 0.8495, prior_entropy: 0.9835, recall: 0.8495, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6611, scimark_benchmark: 1841.1577, usercpu_time_millis: 249.804, usercpu_time_millis_testing: 11.909, usercpu_time_millis_training: 237.895,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.829, kappa: 0.6489, kb_relative_information_score: 22390.5683, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8293, predictive_accuracy: 0.8297, prior_entropy: 0.9835, recall: 0.8297, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6994, scimark_benchmark: 1825.1897, usercpu_time_millis: 114.999, usercpu_time_millis_testing: 9.709, usercpu_time_millis_training: 105.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8799, kappa: 0.7537, kb_relative_information_score: 27165.2157, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8799, predictive_accuracy: 0.8801, prior_entropy: 0.9835, recall: 0.8801, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6034, scimark_benchmark: 1847.2753, usercpu_time_millis: 105.562, usercpu_time_millis_testing: 5.021, usercpu_time_millis_training: 100.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7532, kappa: 0.4929, kb_relative_information_score: 14446.0924, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8224, scimark_benchmark: 1705.2078, usercpu_time_millis: 89.192, usercpu_time_millis_testing: 6.748, usercpu_time_millis_training: 82.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8419, kappa: 0.6753, kb_relative_information_score: 23489.9529, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6755, scimark_benchmark: 1851.8567, usercpu_time_millis: 131.526, usercpu_time_millis_testing: 8.186, usercpu_time_millis_training: 123.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7928, kappa: 0.5737, kb_relative_information_score: 16122.4197, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8011, predictive_accuracy: 0.7972, prior_entropy: 0.9835, recall: 0.7972, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7761, scimark_benchmark: 1806.0373, usercpu_time_millis: 96.554, usercpu_time_millis_testing: 7.934, usercpu_time_millis_training: 88.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7658, kappa: 0.5186, kb_relative_information_score: 16604.0024, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7791, predictive_accuracy: 0.7727, prior_entropy: 0.9835, recall: 0.7727, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7908, scimark_benchmark: 1852.9259, usercpu_time_millis: 139.412, usercpu_time_millis_testing: 11.429, usercpu_time_millis_training: 127.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8472, kappa: 0.6863, kb_relative_information_score: 23544.038, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8476, predictive_accuracy: 0.8479, prior_entropy: 0.9835, recall: 0.8479, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682, scimark_benchmark: 1819.7105, usercpu_time_millis: 77.983, usercpu_time_millis_testing: 3.676, usercpu_time_millis_training: 74.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8601, kappa: 0.7131, kb_relative_information_score: 25667.5048, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.86, predictive_accuracy: 0.8603, prior_entropy: 0.9835, recall: 0.8603, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6394, scimark_benchmark: 1821.2922, usercpu_time_millis: 93.046, usercpu_time_millis_testing: 6.003, usercpu_time_millis_training: 87.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7523, kappa: 0.4916, kb_relative_information_score: 12437.0145, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7698, predictive_accuracy: 0.7612, prior_entropy: 0.9835, recall: 0.7612, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8402, scimark_benchmark: 1794.5001, usercpu_time_millis: 96.292, usercpu_time_millis_testing: 12.41, usercpu_time_millis_training: 83.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7787, kappa: 0.5447, kb_relative_information_score: 17383.9024, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7897, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7763, scimark_benchmark: 1854.4951, usercpu_time_millis: 140.2, usercpu_time_millis_testing: 13.069, usercpu_time_millis_training: 127.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.37, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 106.519, usercpu_time_millis_testing: 8.93, usercpu_time_millis_training: 97.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8003, kappa: 0.59, kb_relative_information_score: 19171.3277, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.8013, prior_entropy: 0.9835, recall: 0.8013, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7591, scimark_benchmark: 1855.4813, usercpu_time_millis: 123.067, usercpu_time_millis_testing: 9.057, usercpu_time_millis_training: 114.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0267, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.5112, usercpu_time_millis: 80.662, usercpu_time_millis_testing: 8.663, usercpu_time_millis_training: 71.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9249, kappa: 0.8463, kb_relative_information_score: 34124.0263, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 0.9835, recall: 0.9249, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4846, scimark_benchmark: 1778.4278, usercpu_time_millis: 79.889, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 77.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7523, kappa: 0.4913, kb_relative_information_score: 15246.4271, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7678, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1838.217, usercpu_time_millis: 93.254, usercpu_time_millis_testing: 7.731, usercpu_time_millis_training: 85.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8112, kappa: 0.6129, kb_relative_information_score: 20954.3901, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8116, prior_entropy: 0.9835, recall: 0.8116, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7383, scimark_benchmark: 1847.8034, usercpu_time_millis: 109.328, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 105.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7687, kappa: 0.5241, kb_relative_information_score: 16897.3085, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7741, prior_entropy: 0.9835, recall: 0.7741, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7982, scimark_benchmark: 1849.3742, usercpu_time_millis: 116.279, usercpu_time_millis_testing: 9.759, usercpu_time_millis_training: 106.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7551, kappa: 0.4966, kb_relative_information_score: 15152.8412, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7624, prior_entropy: 0.9835, recall: 0.7624, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8135, scimark_benchmark: 1849.447, usercpu_time_millis: 123.658, usercpu_time_millis_testing: 10.968, usercpu_time_millis_training: 112.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7573, kappa: 0.5024, kb_relative_information_score: 11316.0668, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7667, prior_entropy: 0.9835, recall: 0.7667, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8418, scimark_benchmark: 1845.6661, usercpu_time_millis: 98.531, usercpu_time_millis_testing: 9.536, usercpu_time_millis_training: 88.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7879, kappa: 0.5634, kb_relative_information_score: 17980.6093, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.795, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7722, scimark_benchmark: 1837.5732, usercpu_time_millis: 80.848, usercpu_time_millis_testing: 4.508, usercpu_time_millis_training: 76.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1909, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 60.147, usercpu_time_millis_testing: 10.149, usercpu_time_millis_training: 49.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.1558, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1816.0169, usercpu_time_millis: 68.897, usercpu_time_millis_testing: 7.603, usercpu_time_millis_training: 61.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.749, kappa: 0.4849, kb_relative_information_score: 13980.6716, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8374, scimark_benchmark: 1845.7802, usercpu_time_millis: 103.48, usercpu_time_millis_testing: 8.177, usercpu_time_millis_training: 95.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.6399, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1838.645, usercpu_time_millis: 107.24, usercpu_time_millis_testing: 9.793, usercpu_time_millis_training: 97.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7544, kappa: 0.4955, kb_relative_information_score: 14937.3562, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.769, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8149, scimark_benchmark: 1796.0572, usercpu_time_millis: 74.553, usercpu_time_millis_testing: 8.541, usercpu_time_millis_training: 66.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7902, kappa: 0.5682, kb_relative_information_score: 15798.6233, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7994, predictive_accuracy: 0.7949, prior_entropy: 0.9835, recall: 0.7949, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7806, scimark_benchmark: 1818.9456, usercpu_time_millis: 91.056, usercpu_time_millis_testing: 8.935, usercpu_time_millis_training: 82.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.7604, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1842.8383, usercpu_time_millis: 62.901, usercpu_time_millis_testing: 5.347, usercpu_time_millis_training: 57.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8158, kappa: 0.6221, kb_relative_information_score: 21145.9101, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7299, scimark_benchmark: 1838.1793, usercpu_time_millis: 112.712, usercpu_time_millis_testing: 3.896, usercpu_time_millis_training: 108.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8394, kappa: 0.67, kb_relative_information_score: 20517.4475, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8404, predictive_accuracy: 0.8405, prior_entropy: 0.9835, recall: 0.8405, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.703, scimark_benchmark: 1859.1356, usercpu_time_millis: 81.463, usercpu_time_millis_testing: 6.215, usercpu_time_millis_training: 75.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7914, kappa: 0.5707, kb_relative_information_score: 16069.5723, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7999, predictive_accuracy: 0.7959, prior_entropy: 0.9835, recall: 0.7959, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7767, scimark_benchmark: 1837.1902, usercpu_time_millis: 105.988, usercpu_time_millis_testing: 9.162, usercpu_time_millis_training: 96.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0633, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1827.3598, usercpu_time_millis: 84.83, usercpu_time_millis_testing: 7.378, usercpu_time_millis_training: 77.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7483, kappa: 0.4833, kb_relative_information_score: 11504.5728, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8629, scimark_benchmark: 1833.1288, usercpu_time_millis: 82.844, usercpu_time_millis_testing: 11.223, usercpu_time_millis_training: 71.621,

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