Task
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: 0.9746, 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: 1342.2845,
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: 1338.5214, 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: 1337.1928,
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: 1318.4315,
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: 1347.3402, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 1346.2927, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, 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: 0.9507, 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: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1339.6197, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
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: 1256.2802, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
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: 1308.6872,
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: 1330.3852, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 1350.8432, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 1339.2472, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, 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: 1360.9406, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, 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: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, 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: 1344.4042, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1348.2476, 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: 1449.4352,
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: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8468, kappa: 0.6877, kb_relative_information_score: 2306.3886, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8732, predictive_accuracy: 0.8443, prior_entropy: 0.9544, recall: 0.8443, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6963, scimark_benchmark: 1280.6338,
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: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1278.6629,
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: 1354.3488,
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: 1335.643, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9074, kappa: 0.8034, kb_relative_information_score: 3128.092, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9086, predictive_accuracy: 0.9069, prior_entropy: 0.9544, recall: 0.9069, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5441, scimark_benchmark: 1064.8317, usercpu_time_millis: 50, 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: 1345.7204,
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: 1352.2099, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
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: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9072, kappa: 0.8028, kb_relative_information_score: 3183.6449, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9079, predictive_accuracy: 0.9069, prior_entropy: 0.9544, recall: 0.9069, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5588, scimark_benchmark: 1337.5749, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9066, kappa: 0.7986, kb_relative_information_score: 2095.7372, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9092, predictive_accuracy: 0.9079, prior_entropy: 0.9544, recall: 0.9079, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6294, scimark_benchmark: 1347.5461, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9192, kappa: 0.8258, kb_relative_information_score: 2116.9654, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9225, predictive_accuracy: 0.9204, prior_entropy: 0.9544, recall: 0.9204, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6221, scimark_benchmark: 1317.1597, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
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: 922.1419,
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: 854.5188, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8565, kappa: 0.6989, kb_relative_information_score: 2735.9526, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8629, predictive_accuracy: 0.8549, prior_entropy: 0.9544, recall: 0.8549, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6553, scimark_benchmark: 1348.7888, usercpu_time_millis: 1530, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1410,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9066, kappa: 0.8027, kb_relative_information_score: 2904.2407, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9095, predictive_accuracy: 0.9059, prior_entropy: 0.9544, recall: 0.9059, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5351, scimark_benchmark: 1349.9917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8053, kappa: 0.5871, kb_relative_information_score: 2314.6049, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8072, predictive_accuracy: 0.8042, prior_entropy: 0.9544, recall: 0.8042, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9143, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1338.9438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9109, kappa: 0.8077, kb_relative_information_score: 2077.3944, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9144, predictive_accuracy: 0.9123, prior_entropy: 0.9544, recall: 0.9123, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6322, scimark_benchmark: 1341.4981, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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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: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8877, kappa: 0.7577, kb_relative_information_score: 2064.5207, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8905, predictive_accuracy: 0.8894, prior_entropy: 0.9544, recall: 0.8894, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6407, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9111, kappa: 0.8117, kb_relative_information_score: 3037.768, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9129, predictive_accuracy: 0.9106, prior_entropy: 0.9544, recall: 0.9106, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5304, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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: 1327.2954, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7987, kappa: 0.596, kb_relative_information_score: 2247.1724, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8376, predictive_accuracy: 0.7956, prior_entropy: 0.9544, recall: 0.7956, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9022, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8633, kappa: 0.722, kb_relative_information_score: 2445.9391, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.892, predictive_accuracy: 0.8611, prior_entropy: 0.9544, recall: 0.8611, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6201, scimark_benchmark: 926.6704,
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: 912.7324,
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: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8863, kappa: 0.7597, kb_relative_information_score: 3025.9054, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8891, predictive_accuracy: 0.8855, prior_entropy: 0.9544, recall: 0.8855, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6605, scimark_benchmark: 912.5006, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8821, kappa: 0.7523, kb_relative_information_score: 2705.5338, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8879, predictive_accuracy: 0.8808, prior_entropy: 0.9544, recall: 0.8808, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5755, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1157.0923, mean_absolute_error: 0.3418, 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: 0.7295, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8261, scimark_benchmark: 1313.5726, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1153.1239, 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: 0.4003, root_relative_squared_error: 0.8271, scimark_benchmark: 895.5332, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 940.0008, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.902, kappa: 0.791, kb_relative_information_score: 2964.8496, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9021, predictive_accuracy: 0.902, prior_entropy: 0.9544, recall: 0.902, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5738, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8969, kappa: 0.7816, kb_relative_information_score: 2994.8071, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8987, predictive_accuracy: 0.8963, prior_entropy: 0.9544, recall: 0.8963, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5467, scimark_benchmark: 912.5006, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8907, kappa: 0.77, kb_relative_information_score: 2866.1555, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8954, predictive_accuracy: 0.8897, prior_entropy: 0.9544, recall: 0.8897, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5637, scimark_benchmark: 930.5999, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8761, kappa: 0.7402, kb_relative_information_score: 2756.4512, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8831, predictive_accuracy: 0.8746, prior_entropy: 0.9544, recall: 0.8746, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5838, scimark_benchmark: 938.9967, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8644, kappa: 0.7148, kb_relative_information_score: 2705.2675, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8696, predictive_accuracy: 0.8631, prior_entropy: 0.9544, recall: 0.8631, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.598, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8639, kappa: 0.7136, kb_relative_information_score: 2632.6428, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8688, predictive_accuracy: 0.8626, prior_entropy: 0.9544, recall: 0.8626, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6259, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8557, kappa: 0.6931, kb_relative_information_score: 2505.6928, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8565, predictive_accuracy: 0.8552, prior_entropy: 0.9544, recall: 0.8552, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6609, scimark_benchmark: 883.2709, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8743, kappa: 0.7325, kb_relative_information_score: 2696.5804, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8749, predictive_accuracy: 0.8739, prior_entropy: 0.9544, recall: 0.8739, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6407, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8829, kappa: 0.7532, kb_relative_information_score: 3005.4117, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8872, predictive_accuracy: 0.8818, prior_entropy: 0.9544, recall: 0.8818, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7105, scimark_benchmark: 937.6212, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7843, kappa: 0.5637, kb_relative_information_score: 2106.2664, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8163, predictive_accuracy: 0.7808, prior_entropy: 0.9544, recall: 0.7808, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9674, scimark_benchmark: 930.5999, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8794, kappa: 0.7469, kb_relative_information_score: 2972.5161, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8857, predictive_accuracy: 0.8781, prior_entropy: 0.9544, recall: 0.8781, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7215, scimark_benchmark: 825.5282, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8989, kappa: 0.7879, kb_relative_information_score: 2807.191, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.9053, predictive_accuracy: 0.8978, prior_entropy: 0.9544, recall: 0.8978, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5937, scimark_benchmark: 1339.3974, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8053, kappa: 0.5871, kb_relative_information_score: 2314.6049, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8072, predictive_accuracy: 0.8042, prior_entropy: 0.9544, recall: 0.8042, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9143, scimark_benchmark: 935.5075, 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: 925.4974, usercpu_time_millis: 860, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 520,
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: 1072.3689, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8201, kappa: 0.6125, kb_relative_information_score: 2182.6353, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4686, number_of_instances: 4060, precision: 0.8207, predictive_accuracy: 0.8224, prior_entropy: 0.9544, recall: 0.8224, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.697, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1417.4938, mean_absolute_error: 0.3036, 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: 0.648, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.8089, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.7056, kappa: 0.3788, kb_relative_information_score: 1816.7855, mean_absolute_error: 0.2517, 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: 0.5372, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0367, scimark_benchmark: 1318.1432, usercpu_time_millis: 700, usercpu_time_millis_training: 700,

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