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: 0.9699, f_measure: 0.9078, kappa: 0.8113, kb_relative_information_score: 31029.4483, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9078, predictive_accuracy: 0.9079, prior_entropy: 0.9835, recall: 0.9079, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5352, scimark_benchmark: 787.6645, usercpu_time_millis: 124.362, usercpu_time_millis_testing: 3.354, usercpu_time_millis_training: 121.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8773, kappa: 0.7485, kb_relative_information_score: 26614.3128, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8774, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6087, scimark_benchmark: 1905.4336, usercpu_time_millis: 117.639, usercpu_time_millis_testing: 5.643, usercpu_time_millis_training: 111.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8593, kappa: 0.7114, kb_relative_information_score: 25278.2426, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8595, predictive_accuracy: 0.8598, prior_entropy: 0.9835, recall: 0.8598, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6414, scimark_benchmark: 1840.9737, usercpu_time_millis: 115.247, usercpu_time_millis_testing: 6.041, usercpu_time_millis_training: 109.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7704, kappa: 0.5275, kb_relative_information_score: 17293.0613, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7798, predictive_accuracy: 0.7759, prior_entropy: 0.9835, recall: 0.7759, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7876, scimark_benchmark: 1906.8727, usercpu_time_millis: 95.271, usercpu_time_millis_testing: 5.262, usercpu_time_millis_training: 90.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9052, kappa: 0.8058, kb_relative_information_score: 29923.3837, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5494, scimark_benchmark: 790.2522, usercpu_time_millis: 74.13, usercpu_time_millis_testing: 3.668, usercpu_time_millis_training: 70.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.746, kappa: 0.4806, kb_relative_information_score: 7780.6986, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7729, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8882, scimark_benchmark: 1859.1356, usercpu_time_millis: 82.044, usercpu_time_millis_testing: 11.355, usercpu_time_millis_training: 70.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8165, kappa: 0.6233, kb_relative_information_score: 20998.3054, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8173, prior_entropy: 0.9835, recall: 0.8173, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7273, scimark_benchmark: 1852.9101, usercpu_time_millis: 71.588, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 68.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7868, kappa: 0.5611, kb_relative_information_score: 17900.7974, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7904, predictive_accuracy: 0.7897, prior_entropy: 0.9835, recall: 0.7897, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7774, scimark_benchmark: 1733.2984, usercpu_time_millis: 63.753, usercpu_time_millis_testing: 6.534, usercpu_time_millis_training: 57.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8816, kappa: 0.7574, kb_relative_information_score: 27761.71, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8815, predictive_accuracy: 0.8817, prior_entropy: 0.9835, recall: 0.8817, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6013, scimark_benchmark: 1854.1098, usercpu_time_millis: 53.533, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 51.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8916, kappa: 0.7779, kb_relative_information_score: 28533.1709, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9835, recall: 0.8917, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5794, scimark_benchmark: 1857.1082, usercpu_time_millis: 50.347, usercpu_time_millis_testing: 2.262, usercpu_time_millis_training: 48.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.83, 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: 1846.9558, usercpu_time_millis: 48.566, usercpu_time_millis_testing: 8.171, usercpu_time_millis_training: 40.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7676, kappa: 0.5218, kb_relative_information_score: 17146.6807, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7744, predictive_accuracy: 0.7724, prior_entropy: 0.9835, recall: 0.7724, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7963, scimark_benchmark: 787.8104, usercpu_time_millis: 20.97, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 19.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8074, kappa: 0.6036, kb_relative_information_score: 17400.522, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8123, predictive_accuracy: 0.8104, prior_entropy: 0.9835, recall: 0.8104, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7574, scimark_benchmark: 1851.5586, usercpu_time_millis: 20.562, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 19.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.945, 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: 1835.3998, usercpu_time_millis: 2.147, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8317, kappa: 0.6544, kb_relative_information_score: 22552.5295, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8319, predictive_accuracy: 0.8323, prior_entropy: 0.9835, recall: 0.8323, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6971, scimark_benchmark: 1854.9533, usercpu_time_millis: 365.948, usercpu_time_millis_testing: 19.866, usercpu_time_millis_training: 346.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8275, kappa: 0.6455, kb_relative_information_score: 21334.2527, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8285, predictive_accuracy: 0.8287, prior_entropy: 0.9835, recall: 0.8287, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7086, scimark_benchmark: 1818.4643, usercpu_time_millis: 172.389, usercpu_time_millis_testing: 14.938, usercpu_time_millis_training: 157.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8171, kappa: 0.6243, kb_relative_information_score: 20644.5614, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8175, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7299, scimark_benchmark: 1855.0232, usercpu_time_millis: 161.179, usercpu_time_millis_testing: 10.686, usercpu_time_millis_training: 150.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8245, kappa: 0.6397, kb_relative_information_score: 21906.056, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8248, predictive_accuracy: 0.8253, prior_entropy: 0.9835, recall: 0.8253, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7084, scimark_benchmark: 1857.6392, usercpu_time_millis: 129.301, usercpu_time_millis_testing: 7.039, usercpu_time_millis_training: 122.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8309, kappa: 0.6527, kb_relative_information_score: 22165.6491, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8315, predictive_accuracy: 0.8318, prior_entropy: 0.9835, recall: 0.8318, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6999, scimark_benchmark: 786.6631, usercpu_time_millis: 122.772, usercpu_time_millis_testing: 7.155, usercpu_time_millis_training: 115.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.6276, kappa: 0.2748, kb_relative_information_score: 4346.2153, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7368, predictive_accuracy: 0.6767, prior_entropy: 0.9835, recall: 0.6767, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9354, scimark_benchmark: 787.8104, usercpu_time_millis: 119.799, usercpu_time_millis_testing: 10.304, usercpu_time_millis_training: 109.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8451, kappa: 0.682, kb_relative_information_score: 23818.721, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8457, prior_entropy: 0.9835, recall: 0.8457, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6692, scimark_benchmark: 1848.388, usercpu_time_millis: 107.752, usercpu_time_millis_testing: 6.022, usercpu_time_millis_training: 101.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7622, kappa: 0.5117, kb_relative_information_score: 15213.771, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7786, predictive_accuracy: 0.7702, prior_entropy: 0.9835, recall: 0.7702, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7999, scimark_benchmark: 1857.5664, usercpu_time_millis: 106.32, usercpu_time_millis_testing: 11.666, usercpu_time_millis_training: 94.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7572, kappa: 0.5017, kb_relative_information_score: 14936.8559, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8099, scimark_benchmark: 1853.454, usercpu_time_millis: 96.553, usercpu_time_millis_testing: 8.913, usercpu_time_millis_training: 87.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9333, kappa: 0.8636, kb_relative_information_score: 34993.5232, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9835, recall: 0.9333, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4603, scimark_benchmark: 1851.8567, usercpu_time_millis: 58.719, usercpu_time_millis_testing: 1.821, usercpu_time_millis_training: 56.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8638, kappa: 0.7206, kb_relative_information_score: 25035.7931, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8639, predictive_accuracy: 0.8642, prior_entropy: 0.9835, recall: 0.8642, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6382, scimark_benchmark: 1851.3944, usercpu_time_millis: 35.509, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 33.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7513, kappa: 0.4893, kb_relative_information_score: 13562.4001, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7674, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8357, scimark_benchmark: 1853.5297, usercpu_time_millis: 37.976, usercpu_time_millis_testing: 4.23, usercpu_time_millis_training: 33.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7568, kappa: 0.5013, kb_relative_information_score: 11380.185, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7773, predictive_accuracy: 0.7662, prior_entropy: 0.9835, recall: 0.7662, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8409, scimark_benchmark: 786.6631, usercpu_time_millis: 15.54, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 14.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.844, kappa: 0.6802, kb_relative_information_score: 25366.2467, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.844, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6686, scimark_benchmark: 1829.6509, usercpu_time_millis: 1.831, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -7.6806, mean_absolute_error: 0.4887, 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: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1835.5512, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8262, kappa: 0.6436, kb_relative_information_score: 22823.5153, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8262, predictive_accuracy: 0.8267, prior_entropy: 0.9835, recall: 0.8267, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7039, scimark_benchmark: 1739.0626, usercpu_time_millis: 604.301, usercpu_time_millis_testing: 21.725, usercpu_time_millis_training: 582.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8002, kappa: 0.5887, kb_relative_information_score: 18547.3642, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8051, predictive_accuracy: 0.8033, prior_entropy: 0.9835, recall: 0.8033, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7532, scimark_benchmark: 788.7358, usercpu_time_millis: 419.728, usercpu_time_millis_testing: 29.311, usercpu_time_millis_training: 390.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8413, kappa: 0.6745, kb_relative_information_score: 24105.4061, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8412, predictive_accuracy: 0.8416, prior_entropy: 0.9835, recall: 0.8416, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6782, scimark_benchmark: 1844.2371, usercpu_time_millis: 387.734, usercpu_time_millis_testing: 14.105, usercpu_time_millis_training: 373.629,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.802, kappa: 0.5938, kb_relative_information_score: 19615.2701, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9835, recall: 0.8027, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7581, scimark_benchmark: 1796.3135, usercpu_time_millis: 258.561, usercpu_time_millis_testing: 12.615, usercpu_time_millis_training: 245.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8078, kappa: 0.6044, kb_relative_information_score: 19158.1051, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8105, predictive_accuracy: 0.8099, prior_entropy: 0.9835, recall: 0.8099, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7499, scimark_benchmark: 1806.3569, usercpu_time_millis: 187.186, usercpu_time_millis_testing: 14.425, usercpu_time_millis_training: 172.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8214, kappa: 0.6334, kb_relative_information_score: 21444.7464, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8217, predictive_accuracy: 0.8223, prior_entropy: 0.9835, recall: 0.8223, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7166, scimark_benchmark: 788.7358, usercpu_time_millis: 169.364, usercpu_time_millis_testing: 8.595, usercpu_time_millis_training: 160.769,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14187.7819, mean_absolute_error: 0.3526, 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: 0.7216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8405, scimark_benchmark: 1843.7091, usercpu_time_millis: 40.44, usercpu_time_millis_testing: 2.745, usercpu_time_millis_training: 37.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.2574, 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: 1766.444, usercpu_time_millis: 4.455, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 3.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8214, kappa: 0.6336, kb_relative_information_score: 21964.7821, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8214, predictive_accuracy: 0.8219, prior_entropy: 0.9835, recall: 0.8219, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7149, scimark_benchmark: 787.8104, usercpu_time_millis: 396.248, usercpu_time_millis_testing: 19.22, usercpu_time_millis_training: 377.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15717.52, mean_absolute_error: 0.333, 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: 0.6815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8255, scimark_benchmark: 787.6645, usercpu_time_millis: 227.182, usercpu_time_millis_testing: 13.978, usercpu_time_millis_training: 213.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.829, kappa: 0.6493, kb_relative_information_score: 22798.6973, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8294, prior_entropy: 0.9835, recall: 0.8294, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7003, scimark_benchmark: 1856.1949, usercpu_time_millis: 225.657, usercpu_time_millis_testing: 15.877, usercpu_time_millis_training: 209.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8163, kappa: 0.6222, kb_relative_information_score: 20268.1254, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7324, scimark_benchmark: 787.8104, usercpu_time_millis: 216.34, usercpu_time_millis_testing: 11.321, usercpu_time_millis_training: 205.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8322, kappa: 0.6556, kb_relative_information_score: 22934.8109, mean_absolute_error: 0.2557, 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: 0.5233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6931, scimark_benchmark: 1819.1433, usercpu_time_millis: 153.627, usercpu_time_millis_testing: 7.14, usercpu_time_millis_training: 146.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8726, kappa: 0.7389, kb_relative_information_score: 26946.4825, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8725, predictive_accuracy: 0.8727, prior_entropy: 0.9835, recall: 0.8727, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6177, scimark_benchmark: 1821.7903, usercpu_time_millis: 147.747, usercpu_time_millis_testing: 4.983, usercpu_time_millis_training: 142.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8256, kappa: 0.642, kb_relative_information_score: 22205.3683, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8258, predictive_accuracy: 0.8263, prior_entropy: 0.9835, recall: 0.8263, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.349, root_relative_squared_error: 0.706, scimark_benchmark: 1849.3014, usercpu_time_millis: 145.024, usercpu_time_millis_testing: 8.101, usercpu_time_millis_training: 136.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8124, kappa: 0.6141, kb_relative_information_score: 19526.6615, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8141, predictive_accuracy: 0.8141, prior_entropy: 0.9835, recall: 0.8141, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7441, scimark_benchmark: 1849.3742, usercpu_time_millis: 98.608, usercpu_time_millis_testing: 5.663, usercpu_time_millis_training: 92.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7701, kappa: 0.5269, kb_relative_information_score: 17348.3309, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7784, predictive_accuracy: 0.7752, prior_entropy: 0.9835, recall: 0.7752, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7925, scimark_benchmark: 1888.4852, usercpu_time_millis: 93.898, usercpu_time_millis_testing: 9.737, usercpu_time_millis_training: 84.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9005, kappa: 0.7961, kb_relative_information_score: 29651.2707, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9005, predictive_accuracy: 0.9006, prior_entropy: 0.9835, recall: 0.9006, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5561, scimark_benchmark: 789.7969, usercpu_time_millis: 80.41, usercpu_time_millis_testing: 2.592, usercpu_time_millis_training: 77.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14190.267, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8432, scimark_benchmark: 1841.6847, usercpu_time_millis: 73.874, usercpu_time_millis_testing: 8.846, usercpu_time_millis_training: 65.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8203, kappa: 0.6307, kb_relative_information_score: 20873.7761, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.821, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7226, scimark_benchmark: 1820.4188, usercpu_time_millis: 63.566, usercpu_time_millis_testing: 3.175, usercpu_time_millis_training: 60.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13162.6197, mean_absolute_error: 0.3663, 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: 0.7496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8615, scimark_benchmark: 1893.9118, usercpu_time_millis: 61.992, usercpu_time_millis_testing: 7.113, usercpu_time_millis_training: 54.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.286, 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: 1827.287, usercpu_time_millis: 47.713, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 39.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2262, 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: 1803.4482, usercpu_time_millis: 38.762, usercpu_time_millis_testing: 6.561, usercpu_time_millis_training: 32.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.7875, 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: 788.5077, usercpu_time_millis: 29.103, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 25.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.9136, 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: 1829.7272, usercpu_time_millis: 26.646, usercpu_time_millis_testing: 4.501, usercpu_time_millis_training: 22.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15716.8955, mean_absolute_error: 0.333, 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: 0.6815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8257, scimark_benchmark: 1826.8288, usercpu_time_millis: 24.079, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 23.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13017.0344, mean_absolute_error: 0.3679, 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: 0.753, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8563, scimark_benchmark: 1835.093, usercpu_time_millis: 14.297, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 13.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8616, kappa: 0.7161, kb_relative_information_score: 25563.9505, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8617, predictive_accuracy: 0.862, prior_entropy: 0.9835, recall: 0.862, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6376, scimark_benchmark: 1893.9118, usercpu_time_millis: 9.598, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 9.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.795, kappa: 0.578, kb_relative_information_score: 16561.2399, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8001, predictive_accuracy: 0.7983, prior_entropy: 0.9835, recall: 0.7983, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7762, scimark_benchmark: 1850.4154, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.84, kappa: 0.6719, kb_relative_information_score: 23792.9992, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.84, predictive_accuracy: 0.8404, prior_entropy: 0.9835, recall: 0.8404, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6822, scimark_benchmark: 1849.9572, usercpu_time_millis: 441.424, usercpu_time_millis_testing: 20.08, usercpu_time_millis_training: 421.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8323, kappa: 0.6558, kb_relative_information_score: 22895.5853, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8324, predictive_accuracy: 0.8329, prior_entropy: 0.9835, recall: 0.8329, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6935, scimark_benchmark: 1845.9141, usercpu_time_millis: 393.728, usercpu_time_millis_testing: 16.824, usercpu_time_millis_training: 376.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.811, kappa: 0.6121, kb_relative_information_score: 20429.6237, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8118, prior_entropy: 0.9835, recall: 0.8118, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7394, scimark_benchmark: 1841.6688, usercpu_time_millis: 352.55, usercpu_time_millis_testing: 23.289, usercpu_time_millis_training: 329.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7999, kappa: 0.5892, kb_relative_information_score: 19129.4185, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7998, predictive_accuracy: 0.8006, prior_entropy: 0.9835, recall: 0.8006, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.762, scimark_benchmark: 1840.2451, usercpu_time_millis: 314.393, usercpu_time_millis_testing: 15.909, usercpu_time_millis_training: 298.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7855, kappa: 0.5587, kb_relative_information_score: 17282.5055, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.795, predictive_accuracy: 0.7905, prior_entropy: 0.9835, recall: 0.7905, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7718, scimark_benchmark: 1832.6873, usercpu_time_millis: 205.171, usercpu_time_millis_testing: 23.388, usercpu_time_millis_training: 181.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8968, kappa: 0.7886, kb_relative_information_score: 29235.4001, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8968, predictive_accuracy: 0.8969, prior_entropy: 0.9835, recall: 0.8969, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5666, scimark_benchmark: 1846.3057, usercpu_time_millis: 186.72, usercpu_time_millis_testing: 5.203, usercpu_time_millis_training: 181.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7675, kappa: 0.5217, kb_relative_information_score: 16936.2939, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7736, prior_entropy: 0.9835, recall: 0.7736, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7893, scimark_benchmark: 1842.127, usercpu_time_millis: 118.448, usercpu_time_millis_testing: 7.389, usercpu_time_millis_training: 111.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8155, kappa: 0.6203, kb_relative_information_score: 18008.1089, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8189, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7464, scimark_benchmark: 1842.7105, usercpu_time_millis: 106.408, usercpu_time_millis_testing: 7.938, usercpu_time_millis_training: 98.47,

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