OpenML
Supervised Classification on pm10

Supervised Classification on pm10

Task 3616 Supervised Classification pm10 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596, scimark_benchmark: 947.1781, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.5578, kappa: 0.1318, kb_relative_information_score: 21.6672, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.568, prior_entropy: 0.9998, recall: 0.568, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5468, kappa: 0.1044, kb_relative_information_score: 26.3509, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5554, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0314, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 934.5964, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5947, kappa: 0.1937, kb_relative_information_score: 41.1656, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.598, prior_entropy: 0.9998, recall: 0.598, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.5481, kappa: 0.0981, kb_relative_information_score: 15.4461, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5498, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 903.2737, usercpu_time_millis: 2670, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596, scimark_benchmark: 936.3213, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5122, kappa: 0.0919, kb_relative_information_score: 2.0434, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5655, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 936.3373, usercpu_time_millis: 1290, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.521, kappa: 0.1005, kb_relative_information_score: 1.9268, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5682, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 939.8002, usercpu_time_millis: 540, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.5274, kappa: 0.1088, kb_relative_information_score: 2.183, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5722, predictive_accuracy: 0.558, prior_entropy: 0.9998, recall: 0.558, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 921.2615, usercpu_time_millis: 300, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.5347, kappa: 0.1172, kb_relative_information_score: 2.9269, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5755, predictive_accuracy: 0.562, prior_entropy: 0.9998, recall: 0.562, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9968, scimark_benchmark: 869.7667, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.4657, kappa: 0.0495, kb_relative_information_score: 2.1547, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5466, predictive_accuracy: 0.53, prior_entropy: 0.9998, recall: 0.53, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.4657, kappa: 0.0495, kb_relative_information_score: 2.1547, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5466, predictive_accuracy: 0.53, prior_entropy: 0.9998, recall: 0.53, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 889.4922, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.569, kappa: 0.1417, kb_relative_information_score: 28.0511, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.572, prior_entropy: 0.9998, recall: 0.572, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0218, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.569, kappa: 0.1417, kb_relative_information_score: 28.0511, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.572, prior_entropy: 0.9998, recall: 0.572, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0218, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.569, kappa: 0.1417, kb_relative_information_score: 28.0511, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.572, prior_entropy: 0.9998, recall: 0.572, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0218, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5625, kappa: 0.1295, kb_relative_information_score: 27.4014, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5667, predictive_accuracy: 0.566, prior_entropy: 0.9998, recall: 0.566, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0209, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.5676, kappa: 0.1447, kb_relative_information_score: 24.4779, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5764, predictive_accuracy: 0.574, prior_entropy: 0.9998, recall: 0.574, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0161, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0312, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.5634, kappa: 0.1298, kb_relative_information_score: 39.3372, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5663, predictive_accuracy: 0.566, prior_entropy: 0.9998, recall: 0.566, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.0813, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.5383, kappa: 0.0814, kb_relative_information_score: 33.7229, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5419, predictive_accuracy: 0.542, prior_entropy: 0.9998, recall: 0.542, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0774, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.5518, kappa: 0.106, kb_relative_information_score: 29.0327, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5539, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.052, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5364, kappa: 0.0842, kb_relative_information_score: 18.2868, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5448, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0444, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5011, kappa: 0.0641, kb_relative_information_score: 15.9584, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5438, predictive_accuracy: 0.536, prior_entropy: 0.9998, recall: 0.536, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0195, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3423, kb_relative_information_score: 7.819, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.403, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5146, kappa: 0.0846, kb_relative_information_score: 2.6106, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5562, predictive_accuracy: 0.546, prior_entropy: 0.9998, recall: 0.546, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9966, scimark_benchmark: 923.7471, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.5411, kappa: 0.0857, kb_relative_information_score: 9.0644, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5439, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.994, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0305, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.5578, kappa: 0.1318, kb_relative_information_score: 21.6672, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.568, prior_entropy: 0.9998, recall: 0.568, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5468, kappa: 0.1044, kb_relative_information_score: 26.3509, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5554, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0314, scimark_benchmark: 906.0884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 928.8135, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5468, kappa: 0.1044, kb_relative_information_score: 26.3509, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5554, predictive_accuracy: 0.554, prior_entropy: 0.9998, recall: 0.554, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0314, scimark_benchmark: 1321.8321, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5947, kappa: 0.1937, kb_relative_information_score: 41.1656, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5996, predictive_accuracy: 0.598, prior_entropy: 0.9998, recall: 0.598, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1345.0034, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596, scimark_benchmark: 1342.6744, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 1322.7257, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1324.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5187, kappa: 0.0627, kb_relative_information_score: 7.2532, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5356, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0113, scimark_benchmark: 1350.007, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596, scimark_benchmark: 1333.202, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5265, kappa: 0.0824, kb_relative_information_score: 43.8321, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.544, prior_entropy: 0.9998, recall: 0.544, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3507, scimark_benchmark: 1316.2665, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6244, kappa: 0.2504, kb_relative_information_score: 61.3066, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.627, predictive_accuracy: 0.626, prior_entropy: 0.9998, recall: 0.626, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596, scimark_benchmark: 942.9708, usercpu_time_millis: 310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.491, kappa: 0.0593, kb_relative_information_score: 18.6271, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.544, predictive_accuracy: 0.534, prior_entropy: 0.9998, recall: 0.534, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0235, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.5481, kappa: 0.0981, kb_relative_information_score: 15.4437, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5498, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1347.5461, usercpu_time_millis: 1220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.0308, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1312.2688,

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