OpenML
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: 0.9733, 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: 1310.6554, usercpu_time_millis: 22330, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 20490,
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: 1364.991, usercpu_time_millis: 20500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7345, kappa: 0.4578, kb_relative_information_score: 7083.1699, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7533, predictive_accuracy: 0.7444, prior_entropy: 0.9835, recall: 0.7444, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0213, scimark_benchmark: 1303.9481, usercpu_time_millis: 574630, usercpu_time_millis_testing: 230320, usercpu_time_millis_training: 344310,
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: 1349.8336, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8937, kappa: 0.7826, kb_relative_information_score: 10017.9534, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8939, predictive_accuracy: 0.894, prior_entropy: 0.9835, recall: 0.894, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5688, scimark_benchmark: 1303.9481, usercpu_time_millis: 4340, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4210,
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: 1336.4564, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1313.9976, usercpu_time_millis: 19390, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 19130,
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: 1318.3027, usercpu_time_millis: 980, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 910,
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: 1316.6799, usercpu_time_millis: 250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1373.7859, usercpu_time_millis: 16780, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 16540,
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: 1348.1311, usercpu_time_millis: 20630, usercpu_time_millis_testing: 2210, usercpu_time_millis_training: 18420,
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: 1352.06, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7345, kappa: 0.4578, kb_relative_information_score: 7083.1699, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7533, predictive_accuracy: 0.7444, prior_entropy: 0.9835, recall: 0.7444, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0213, scimark_benchmark: 1317.5857, usercpu_time_millis: 644120, usercpu_time_millis_testing: 298540, usercpu_time_millis_training: 345580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1281.7531, usercpu_time_millis: 19640, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 19370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7345, kappa: 0.4578, kb_relative_information_score: 7083.1699, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7533, predictive_accuracy: 0.7444, prior_entropy: 0.9835, recall: 0.7444, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0213, scimark_benchmark: 1322.7257, usercpu_time_millis: 440470, usercpu_time_millis_testing: 175140, usercpu_time_millis_training: 265330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1278.6629, usercpu_time_millis: 16250, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 15990,
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: 0.8797, 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: 1384.4422, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
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: 0.8731, 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: 932.5646, usercpu_time_millis: 780, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 630,
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: 918.0213, usercpu_time_millis: 740, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 600,
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: 1288.1375, usercpu_time_millis: 580, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1328.1857, usercpu_time_millis: 15370, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 15130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7345, kappa: 0.4578, kb_relative_information_score: 7083.1699, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7533, predictive_accuracy: 0.7444, prior_entropy: 0.9835, recall: 0.7444, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0213, scimark_benchmark: 1322.7383, usercpu_time_millis: 474850, usercpu_time_millis_testing: 165040, usercpu_time_millis_training: 309810,
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: 1322.7383, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
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: 1342.6911, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
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: 942.9708, usercpu_time_millis: 4990, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4930,
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: 1350.2369, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8981, kappa: 0.7917, kb_relative_information_score: 10042.3133, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8984, predictive_accuracy: 0.8984, prior_entropy: 0.9835, recall: 0.8984, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5572, scimark_benchmark: 1347.5461, usercpu_time_millis: 17680, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 17150,
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: 1343.6648, usercpu_time_millis: 470, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.861, kappa: 0.7161, kb_relative_information_score: 10311.6561, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8609, predictive_accuracy: 0.861, prior_entropy: 0.9835, recall: 0.861, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7103, scimark_benchmark: 1327.2954, usercpu_time_millis: 12500, usercpu_time_millis_testing: 2330, usercpu_time_millis_training: 10170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8883, kappa: 0.7717, kb_relative_information_score: 11179.4594, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8882, predictive_accuracy: 0.8884, prior_entropy: 0.9835, recall: 0.8884, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6158, scimark_benchmark: 1086.8793, usercpu_time_millis: 105490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 105420,
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: 937.1527, usercpu_time_millis: 25820, usercpu_time_millis_testing: 2100, usercpu_time_millis_training: 23720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8999, kappa: 0.7952, kb_relative_information_score: 10058.325, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.9001, predictive_accuracy: 0.9001, prior_entropy: 0.9835, recall: 0.9001, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5539, scimark_benchmark: 1349.7981, usercpu_time_millis: 58330, usercpu_time_millis_testing: 2790, usercpu_time_millis_training: 55540,
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: 1332.4146, usercpu_time_millis: 390, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 330,
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: 0.5, 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: 0.531, 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: 0.7267, 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: 0.8476, 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: 0.8833, 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: 0.8291, 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: 0.9528, 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: 0.9621, 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: 0.8947, 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: 0.9632, f_measure: 0.8985, kappa: 0.7925, kb_relative_information_score: 10058.6097, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8988, predictive_accuracy: 0.8988, prior_entropy: 0.9835, recall: 0.8988, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5545, scimark_benchmark: 1339.3974, usercpu_time_millis: 30820, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 29710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7529, kappa: 0.4945, kb_relative_information_score: 5204.41, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7688, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8292, scimark_benchmark: 1310.3951, usercpu_time_millis: 1570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7952, kappa: 0.5799, kb_relative_information_score: 6591.0404, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.801, predictive_accuracy: 0.7986, prior_entropy: 0.9835, recall: 0.7986, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7609, scimark_benchmark: 915.6729, usercpu_time_millis: 22990, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 22750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7678, kappa: 0.525, kb_relative_information_score: 6013.3712, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7849, predictive_accuracy: 0.7753, prior_entropy: 0.9835, recall: 0.7753, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7865, scimark_benchmark: 1280.6952, usercpu_time_millis: 10540, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7758, kappa: 0.5409, kb_relative_information_score: 5847.1307, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7895, predictive_accuracy: 0.7821, prior_entropy: 0.9835, recall: 0.7821, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7911, scimark_benchmark: 935.5075, usercpu_time_millis: 6780, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7431, kappa: 0.4771, kb_relative_information_score: 5271.0196, mean_absolute_error: 0.3305, 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: 0.6754, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8142, scimark_benchmark: 889.3151, usercpu_time_millis: 4580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4520,
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: 0.8701, 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: 0.8583, f_measure: 0.8002, kappa: 0.5914, kb_relative_information_score: 7747.7849, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8001, predictive_accuracy: 0.8008, prior_entropy: 0.9835, recall: 0.8008, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7786, scimark_benchmark: 939.5205, usercpu_time_millis: 256770, usercpu_time_millis_testing: 256750, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7421, kappa: 0.4741, kb_relative_information_score: 7343.6523, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7654, predictive_accuracy: 0.7529, prior_entropy: 0.9835, recall: 0.7529, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0043, scimark_benchmark: 1363.454, usercpu_time_millis: 5830, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6648, kappa: 0.3179, kb_relative_information_score: 5108.8787, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.6844, predictive_accuracy: 0.6806, prior_entropy: 0.9835, recall: 0.6806, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.1418, scimark_benchmark: 1337.7959, usercpu_time_millis: 7379970, usercpu_time_millis_testing: 683810, usercpu_time_millis_training: 6696160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7465, kappa: 0.4821, kb_relative_information_score: 7430.4797, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7652, predictive_accuracy: 0.7557, prior_entropy: 0.9835, recall: 0.7557, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9986, scimark_benchmark: 1369.9744, usercpu_time_millis: 303420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 303370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7499, kappa: 0.4873, kb_relative_information_score: 5184.2708, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7579, predictive_accuracy: 0.7554, prior_entropy: 0.9835, recall: 0.7554, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8228, scimark_benchmark: 1321.527, usercpu_time_millis: 8380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7478, kappa: 0.4833, kb_relative_information_score: 7387.066, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.7581, predictive_accuracy: 0.7543, prior_entropy: 0.9835, recall: 0.7543, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0015, scimark_benchmark: 939.449, usercpu_time_millis: 1360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1290,
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: 1307.4861, usercpu_time_millis: 370, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8307, kappa: 0.6533, kb_relative_information_score: 8499.2551, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9835, recall: 0.8316, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7172, scimark_benchmark: 1325.942, usercpu_time_millis: 15780, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 15550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8669, kappa: 0.728, kb_relative_information_score: 10868.3906, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8668, predictive_accuracy: 0.867, prior_entropy: 0.9835, recall: 0.867, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7366, scimark_benchmark: 1301.9956, usercpu_time_millis: 560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8672, kappa: 0.7285, kb_relative_information_score: 9811.4382, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 0.9835, recall: 0.8675, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6593, scimark_benchmark: 1335.4072, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8839, kappa: 0.7627, kb_relative_information_score: 10763.116, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4893, number_of_instances: 14952, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.495, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6445, scimark_benchmark: 1309.3173, usercpu_time_millis: 18860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 18820,

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