Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 336 Supervised Classification electricity 233 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8824, kappa: 0.7589, kb_relative_information_score: 7406.1173, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8846, predictive_accuracy: 0.8833, prior_entropy: 0.9835, recall: 0.8833, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6527, scimark_benchmark: 918.6005, usercpu_time_millis: 15120, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 13990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7837, kappa: 0.5566, kb_relative_information_score: 6451.9769, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7944, predictive_accuracy: 0.7888, prior_entropy: 0.9835, recall: 0.7888, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7648, scimark_benchmark: 1324.9597, usercpu_time_millis: 1750, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8809, kappa: 0.7558, kb_relative_information_score: 7190.6066, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8834, predictive_accuracy: 0.8819, prior_entropy: 0.9835, recall: 0.8819, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6615, scimark_benchmark: 1339.0827, usercpu_time_millis: 50460, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 43930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8072, kappa: 0.6047, kb_relative_information_score: 6944.4142, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8098, predictive_accuracy: 0.8093, prior_entropy: 0.9835, recall: 0.8093, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7434, scimark_benchmark: 906.4475, usercpu_time_millis: 4440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7616, kappa: 0.511, kb_relative_information_score: 5803.6918, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7636, predictive_accuracy: 0.7642, prior_entropy: 0.9835, recall: 0.7642, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8213, scimark_benchmark: 1321.527, usercpu_time_millis: 580, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8016, kappa: 0.594, kb_relative_information_score: 7304.1397, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8017, predictive_accuracy: 0.8024, prior_entropy: 0.9835, recall: 0.8024, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.762, scimark_benchmark: 916.6405, usercpu_time_millis: 224600, usercpu_time_millis_testing: 224570, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7431, kappa: 0.4771, kb_relative_information_score: 5245.9372, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.771, predictive_accuracy: 0.755, prior_entropy: 0.9835, recall: 0.755, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8285, scimark_benchmark: 915.9324, usercpu_time_millis: 1910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7224, kappa: 0.4386, kb_relative_information_score: 5848.1302, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7632, predictive_accuracy: 0.7393, prior_entropy: 0.9835, recall: 0.7393, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8935, scimark_benchmark: 922.1419, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.6974, kappa: 0.3802, kb_relative_information_score: 3029.7999, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7066, predictive_accuracy: 0.7059, prior_entropy: 0.9835, recall: 0.7059, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.89, scimark_benchmark: 1413.089, usercpu_time_millis: 650, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7504, kappa: 0.4892, kb_relative_information_score: 7506.9706, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7651, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9935, scimark_benchmark: 1413.089, usercpu_time_millis: 7330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7405, kappa: 0.4709, kb_relative_information_score: 4305.7906, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7639, predictive_accuracy: 0.7514, prior_entropy: 0.9835, recall: 0.7514, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8697, scimark_benchmark: 932.0242, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7909, kappa: 0.5717, kb_relative_information_score: 6378.071, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7915, predictive_accuracy: 0.7922, prior_entropy: 0.9835, recall: 0.7922, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7595, scimark_benchmark: 1310.934, usercpu_time_millis: 4120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7228, kappa: 0.4393, kb_relative_information_score: 5849.0174, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7635, predictive_accuracy: 0.7396, prior_entropy: 0.9835, recall: 0.7396, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8934, scimark_benchmark: 1339.944, usercpu_time_millis: 340, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8186, kappa: 0.6282, kb_relative_information_score: 7171.116, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9835, recall: 0.82, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7272, scimark_benchmark: 1384.4418, usercpu_time_millis: 9130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8993, kappa: 0.794, kb_relative_information_score: 8573.0962, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9, predictive_accuracy: 0.8997, prior_entropy: 0.9835, recall: 0.8997, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5946, scimark_benchmark: 889.3151, usercpu_time_millis: 4860, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8853, kappa: 0.7649, kb_relative_information_score: 7517.9496, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8872, predictive_accuracy: 0.8861, prior_entropy: 0.9835, recall: 0.8861, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6465, scimark_benchmark: 1331.6907, usercpu_time_millis: 9920, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 9340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7895, kappa: 0.5683, kb_relative_information_score: 7217.7743, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9835, recall: 0.7913, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8083, scimark_benchmark: 1384.8417, usercpu_time_millis: 4780, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7757, kappa: 0.5399, kb_relative_information_score: 4224.2482, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7818, predictive_accuracy: 0.7797, prior_entropy: 0.9835, recall: 0.7797, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8178, scimark_benchmark: 1371.9645, usercpu_time_millis: 4110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9123, kappa: 0.8208, kb_relative_information_score: 10648.6461, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9124, predictive_accuracy: 0.9125, prior_entropy: 0.9835, recall: 0.9125, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5154, scimark_benchmark: 1322.7257, usercpu_time_millis: 21940, usercpu_time_millis_testing: 2690, usercpu_time_millis_training: 19250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8765, kappa: 0.7475, kb_relative_information_score: 10165.6873, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8765, predictive_accuracy: 0.8767, prior_entropy: 0.9835, recall: 0.8767, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6694, scimark_benchmark: 825.5282, usercpu_time_millis: 73220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 73190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.7417, kappa: 0.4742, kb_relative_information_score: 4442.0976, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7696, predictive_accuracy: 0.7537, prior_entropy: 0.9835, recall: 0.7537, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8656, scimark_benchmark: 937.1527, usercpu_time_millis: 3560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5279, kappa: 0.0685, kb_relative_information_score: -102.0286, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.5458, predictive_accuracy: 0.527, prior_entropy: 0.9835, recall: 0.527, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9946, scimark_benchmark: 906.4475, usercpu_time_millis: 200, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8399, kappa: 0.6717, kb_relative_information_score: 8087.4023, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8434, predictive_accuracy: 0.8417, prior_entropy: 0.9835, recall: 0.8417, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.726, scimark_benchmark: 906.4475, usercpu_time_millis: 19060, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 19010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.3228, kappa: 0.0461, kb_relative_information_score: -454.8869, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7466, predictive_accuracy: 0.4598, prior_entropy: 0.9835, recall: 0.4598, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0078, scimark_benchmark: 1321.6263, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4149, kb_relative_information_score: 12.107, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.3259, predictive_accuracy: 0.5709, prior_entropy: 0.9835, recall: 0.5709, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0001, scimark_benchmark: 926.6704, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7952, kappa: 0.5808, kb_relative_information_score: 6030.0148, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9835, recall: 0.796, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7757, scimark_benchmark: 1367.8403, usercpu_time_millis: 10600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8146, kappa: 0.6206, kb_relative_information_score: 7675.4902, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8148, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7452, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 941.3847, usercpu_time_millis: 730, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7483, kappa: 0.4855, kb_relative_information_score: 6135.5005, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7481, predictive_accuracy: 0.7489, prior_entropy: 0.9835, recall: 0.7489, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8662, scimark_benchmark: 941.6675, usercpu_time_millis: 800, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 941.6675, usercpu_time_millis: 700, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 974.2014, usercpu_time_millis: 900, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.792, kappa: 0.5737, kb_relative_information_score: 6949.2114, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7931, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7622, scimark_benchmark: 930.404, usercpu_time_millis: 820, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 670,

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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)

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