OpenML
Supervised Classification on cars

Supervised Classification on cars

Task 4535 Supervised Classification cars 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8641, kappa: 0.7151, kb_relative_information_score: 2679.974, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8711, predictive_accuracy: 0.8626, prior_entropy: 0.9544, recall: 0.8626, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6229, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8751, kappa: 0.7343, kb_relative_information_score: 2562.6812, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8758, predictive_accuracy: 0.8746, prior_entropy: 0.9544, recall: 0.8746, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5901, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8934, kappa: 0.7736, kb_relative_information_score: 2842.7413, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8946, predictive_accuracy: 0.8929, prior_entropy: 0.9544, recall: 0.8929, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5694, scimark_benchmark: 934.3687, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 944.1067, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 904.0772, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1145.0117, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8205, predictive_accuracy: 0.7483, prior_entropy: 0.9544, recall: 0.7483, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.829, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7989, kappa: 0.5643, kb_relative_information_score: 2211.706, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8309, predictive_accuracy: 0.8121, prior_entropy: 0.9544, recall: 0.8121, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7295, scimark_benchmark: 934.3687, usercpu_time_millis: 1550, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9025, kappa: 0.7919, kb_relative_information_score: 3041.1846, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9544, recall: 0.9025, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5563, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8998, kappa: 0.787, kb_relative_information_score: 2006.3632, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9005, predictive_accuracy: 0.8995, prior_entropy: 0.9544, recall: 0.8995, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6451, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8641, kappa: 0.7151, kb_relative_information_score: 2679.974, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8711, predictive_accuracy: 0.8626, prior_entropy: 0.9544, recall: 0.8626, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6229, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8751, kappa: 0.7343, kb_relative_information_score: 2562.6812, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8758, predictive_accuracy: 0.8746, prior_entropy: 0.9544, recall: 0.8746, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5901, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8934, kappa: 0.7736, kb_relative_information_score: 2842.7413, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8946, predictive_accuracy: 0.8929, prior_entropy: 0.9544, recall: 0.8929, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5694, scimark_benchmark: 938.1282, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 730.6551, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8378, kappa: 0.6675, kb_relative_information_score: 2568.8641, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8599, predictive_accuracy: 0.8352, prior_entropy: 0.9544, recall: 0.8352, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7812, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1145.0117, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8205, predictive_accuracy: 0.7483, prior_entropy: 0.9544, recall: 0.7483, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.829, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7989, kappa: 0.5643, kb_relative_information_score: 2211.706, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8309, predictive_accuracy: 0.8121, prior_entropy: 0.9544, recall: 0.8121, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7295, scimark_benchmark: 906.0979, usercpu_time_millis: 820, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8998, kappa: 0.787, kb_relative_information_score: 2006.3632, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9005, predictive_accuracy: 0.8995, prior_entropy: 0.9544, recall: 0.8995, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6451, scimark_benchmark: 938.988, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9199, kappa: 0.8312, kb_relative_information_score: 2773.0469, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9236, predictive_accuracy: 0.9192, prior_entropy: 0.9544, recall: 0.9192, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5179, scimark_benchmark: 904.5548, usercpu_time_millis: 27740, usercpu_time_millis_testing: 9390, usercpu_time_millis_training: 18350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9221, kappa: 0.8357, kb_relative_information_score: 2777.3443, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9257, predictive_accuracy: 0.9214, prior_entropy: 0.9544, recall: 0.9214, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5176, scimark_benchmark: 945.6228, usercpu_time_millis: 16540, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 10870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9194, kappa: 0.8299, kb_relative_information_score: 2761.5458, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9228, predictive_accuracy: 0.9187, prior_entropy: 0.9544, recall: 0.9187, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5238, scimark_benchmark: 906.0979, usercpu_time_millis: 7830, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9142, kappa: 0.8188, kb_relative_information_score: 2751.9828, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9172, predictive_accuracy: 0.9135, prior_entropy: 0.9544, recall: 0.9135, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5293, scimark_benchmark: 939.682, usercpu_time_millis: 3680, usercpu_time_millis_testing: 1200, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9119, kappa: 0.8135, kb_relative_information_score: 2778.5082, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.914, predictive_accuracy: 0.9113, prior_entropy: 0.9544, recall: 0.9113, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5357, scimark_benchmark: 942.5233, usercpu_time_millis: 1670, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8392, kappa: 0.6613, kb_relative_information_score: 2396.4597, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8439, predictive_accuracy: 0.8377, prior_entropy: 0.9544, recall: 0.8377, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6683, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8392, kappa: 0.6613, kb_relative_information_score: 2396.4597, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8439, predictive_accuracy: 0.8377, prior_entropy: 0.9544, recall: 0.8377, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6683, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8392, kappa: 0.6613, kb_relative_information_score: 2396.4597, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8439, predictive_accuracy: 0.8377, prior_entropy: 0.9544, recall: 0.8377, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6683, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8392, kappa: 0.6613, kb_relative_information_score: 2396.4597, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8439, predictive_accuracy: 0.8377, prior_entropy: 0.9544, recall: 0.8377, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6683, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8392, kappa: 0.6613, kb_relative_information_score: 2396.4597, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8439, predictive_accuracy: 0.8377, prior_entropy: 0.9544, recall: 0.8377, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6683, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4815, kb_relative_information_score: -1.0698, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.3914, predictive_accuracy: 0.6256, prior_entropy: 0.9544, recall: 0.6256, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.484, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8767, kappa: 0.7408, kb_relative_information_score: 2931.8952, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8823, predictive_accuracy: 0.8754, prior_entropy: 0.9544, recall: 0.8754, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6755, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1145.0117, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8205, predictive_accuracy: 0.7483, prior_entropy: 0.9544, recall: 0.7483, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.829, scimark_benchmark: 1347.6543, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9025, kappa: 0.7919, kb_relative_information_score: 3041.1846, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9544, recall: 0.9025, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5563, scimark_benchmark: 1331.7953, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8641, kappa: 0.7151, kb_relative_information_score: 2679.974, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8711, predictive_accuracy: 0.8626, prior_entropy: 0.9544, recall: 0.8626, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6229, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 1316.3384, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1145.0117, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8205, predictive_accuracy: 0.7483, prior_entropy: 0.9544, recall: 0.7483, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.829, scimark_benchmark: 1340.9749, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8641, kappa: 0.7151, kb_relative_information_score: 2679.974, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8711, predictive_accuracy: 0.8626, prior_entropy: 0.9544, recall: 0.8626, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6229, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9025, kappa: 0.7919, kb_relative_information_score: 3041.1846, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9544, recall: 0.9025, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5563, scimark_benchmark: 1375.1578, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7253, kappa: 0.4047, kb_relative_information_score: 1768.5386, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.7453, predictive_accuracy: 0.7429, prior_entropy: 0.9544, recall: 0.7429, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0478, scimark_benchmark: 1316.5668, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8378, kappa: 0.6675, kb_relative_information_score: 2568.8641, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8599, predictive_accuracy: 0.8352, prior_entropy: 0.9544, recall: 0.8352, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7812, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1145.0117, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8205, predictive_accuracy: 0.7483, prior_entropy: 0.9544, recall: 0.7483, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.829, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7989, kappa: 0.5643, kb_relative_information_score: 2211.706, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8309, predictive_accuracy: 0.8121, prior_entropy: 0.9544, recall: 0.8121, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7295, scimark_benchmark: 1313.9976, usercpu_time_millis: 640, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9025, kappa: 0.7919, kb_relative_information_score: 3041.1846, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9544, recall: 0.9025, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5563, scimark_benchmark: 1354.5533, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8378, kappa: 0.6675, kb_relative_information_score: 2568.8641, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8599, predictive_accuracy: 0.8352, prior_entropy: 0.9544, recall: 0.8352, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7812, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9072, kappa: 0.804, kb_relative_information_score: 3021.7925, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9103, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5058, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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