Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 256 Supervised Classification nursery 199 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9863, kb_relative_information_score: 3963.3938, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 1.7176, recall: 0.9906, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.9436, kb_relative_information_score: 4007.1278, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 1.7176, recall: 0.9616, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2941, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9042, kappa: 0.8753, kb_relative_information_score: 3399.2556, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8931, predictive_accuracy: 0.9158, prior_entropy: 1.7176, recall: 0.9158, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4573, scimark_benchmark: 851.2074, usercpu_time_millis: 5030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 941.6675, usercpu_time_millis: 27880, usercpu_time_millis_testing: 9790, usercpu_time_millis_training: 18090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 938.191, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9633, kappa: 0.9477, kb_relative_information_score: 3961.2562, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2815, scimark_benchmark: 941.6675, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 931.771, usercpu_time_millis: 1440, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 937.5117, usercpu_time_millis: 21930, usercpu_time_millis_testing: 9340, usercpu_time_millis_training: 12590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9639, kappa: 0.9481, kb_relative_information_score: 3949.8542, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 1.7176, recall: 0.9647, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2957, scimark_benchmark: 938.5498, usercpu_time_millis: 3740, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 943.1009, usercpu_time_millis: 1320, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.9436, kb_relative_information_score: 4007.1278, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 1.7176, recall: 0.9616, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2941, scimark_benchmark: 819.5729, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9042, kappa: 0.8753, kb_relative_information_score: 3399.2556, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8931, predictive_accuracy: 0.9158, prior_entropy: 1.7176, recall: 0.9158, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4573, scimark_benchmark: 608.4057, usercpu_time_millis: 7260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 859.5223, usercpu_time_millis: 19430, usercpu_time_millis_testing: 8710, usercpu_time_millis_training: 10720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9633, kappa: 0.9477, kb_relative_information_score: 3961.2562, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2815, scimark_benchmark: 933.3455, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9639, kappa: 0.9481, kb_relative_information_score: 3949.8542, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 1.7176, recall: 0.9647, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2957, scimark_benchmark: 941.4991, usercpu_time_millis: 3880, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 936.9595, usercpu_time_millis: 1150, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9979, kb_relative_information_score: 3912.0734, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 1.7176, recall: 0.9986, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1644, scimark_benchmark: 938.4601, usercpu_time_millis: 136030, usercpu_time_millis_testing: 29700, usercpu_time_millis_training: 106330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9979, kb_relative_information_score: 3895.2216, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 1.7176, recall: 0.9986, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1714, scimark_benchmark: 934.695, usercpu_time_millis: 60340, usercpu_time_millis_testing: 11300, usercpu_time_millis_training: 49040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9969, kb_relative_information_score: 3990.6696, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 1.7176, recall: 0.9979, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1535, scimark_benchmark: 935.0213, usercpu_time_millis: 27220, usercpu_time_millis_testing: 3820, usercpu_time_millis_training: 23400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9969, kb_relative_information_score: 4013.399, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 1.7176, recall: 0.9979, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1326, scimark_benchmark: 911.2316, usercpu_time_millis: 24520, usercpu_time_millis_testing: 2350, usercpu_time_millis_training: 22170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9962, kb_relative_information_score: 3843.8574, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7176, recall: 0.9974, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1992, scimark_benchmark: 889.4922, usercpu_time_millis: 7550, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 6590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8612, kappa: 0.8101, kb_relative_information_score: 3308.4943, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.851, predictive_accuracy: 0.8718, prior_entropy: 1.7176, recall: 0.8718, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.52, scimark_benchmark: 936.1714, usercpu_time_millis: 450, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.5611, kappa: 0.5062, kb_relative_information_score: 1368.3261, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.5063, predictive_accuracy: 0.6707, prior_entropy: 1.7176, recall: 0.6707, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.7775, scimark_benchmark: 938.3115, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.5611, kappa: 0.5062, kb_relative_information_score: 1368.3261, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.5063, predictive_accuracy: 0.6707, prior_entropy: 1.7176, recall: 0.6707, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.7775, scimark_benchmark: 936.1714, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.5611, kappa: 0.5062, kb_relative_information_score: 2184.3042, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.5063, predictive_accuracy: 0.6707, prior_entropy: 1.7176, recall: 0.6707, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.7587, scimark_benchmark: 940.0055, usercpu_time_millis: 890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.5339, kappa: 0.4815, kb_relative_information_score: 2304.3627, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.4823, predictive_accuracy: 0.6457, prior_entropy: 1.7176, recall: 0.6457, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7241, scimark_benchmark: 935.6052, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 1310.6554, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1354.5533, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 1325.4787, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1333.0982, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1374.9737, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9639, kappa: 0.9481, kb_relative_information_score: 3949.8542, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 1.7176, recall: 0.9647, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2957, scimark_benchmark: 1350.8432, usercpu_time_millis: 4660, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 1310.6554, usercpu_time_millis: 1040, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9026, kappa: 0.8704, kb_relative_information_score: 3599.2585, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9077, predictive_accuracy: 0.9125, prior_entropy: 1.7176, recall: 0.9125, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.187, root_relative_squared_error: 0.5063, scimark_benchmark: 1310.6554, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9042, kappa: 0.8753, kb_relative_information_score: 3399.2556, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8931, predictive_accuracy: 0.9158, prior_entropy: 1.7176, recall: 0.9158, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4573, scimark_benchmark: 1337.4384, usercpu_time_millis: 3880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 1336.0954, usercpu_time_millis: 39080, usercpu_time_millis_testing: 10530, usercpu_time_millis_training: 28550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1335.2021, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1328.1785, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9633, kappa: 0.9477, kb_relative_information_score: 3961.2562, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2815, scimark_benchmark: 1333.9912, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9639, kappa: 0.9481, kb_relative_information_score: 3949.8542, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 1.7176, recall: 0.9647, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2957, scimark_benchmark: 1335.3438, usercpu_time_millis: 4370, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.9436, kb_relative_information_score: 4007.1278, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 1.7176, recall: 0.9616, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2941, scimark_benchmark: 1299.6719, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1343.7262, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 1331.0107, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 1325.1482, usercpu_time_millis: 950, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9313, kappa: 0.9103, kb_relative_information_score: 3609.2452, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9416, predictive_accuracy: 0.9394, prior_entropy: 1.7176, recall: 0.9394, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3858, scimark_benchmark: 1360.8502, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9606, kappa: 0.9436, kb_relative_information_score: 4007.1278, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 1.7176, recall: 0.9616, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2941, scimark_benchmark: 1363.1824, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 1267.3105, usercpu_time_millis: 26070, usercpu_time_millis_testing: 9400, usercpu_time_millis_training: 16670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9633, kappa: 0.9477, kb_relative_information_score: 3961.2562, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9645, prior_entropy: 1.7176, recall: 0.9645, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2815, scimark_benchmark: 1347.993, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 938.0414, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9797, kappa: 0.9708, kb_relative_information_score: 3911.5814, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9799, predictive_accuracy: 0.9801, prior_entropy: 1.7176, recall: 0.9801, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2653, scimark_benchmark: 1322.7257, usercpu_time_millis: 1070, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9594, kappa: 0.9451, kb_relative_information_score: 3942.3787, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9637, predictive_accuracy: 0.9628, prior_entropy: 1.7176, recall: 0.9628, relative_absolute_error: 0.0545, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.122, root_relative_squared_error: 0.3301, scimark_benchmark: 935.5075, usercpu_time_millis: 22370, usercpu_time_millis_testing: 8850, usercpu_time_millis_training: 13520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8896, kappa: 0.8503, kb_relative_information_score: 3353.6314, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.8995, predictive_accuracy: 0.899, prior_entropy: 1.7176, recall: 0.899, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4809, scimark_benchmark: 935.5075, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9096, kappa: 0.8791, kb_relative_information_score: 3493.8901, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 4276, precision: 0.9217, predictive_accuracy: 0.9184, prior_entropy: 1.7176, recall: 0.9184, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4298, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,

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