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Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2977 Supervised Classification meta_batchincremental.arff 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.5937, kappa: 0.1366, kb_relative_information_score: 100.0228, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.562, predictive_accuracy: 0.6392, prior_entropy: 1.3842, recall: 0.6392, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9868, scimark_benchmark: 936.7286, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.5449, kappa: -0.0035, kb_relative_information_score: 51.5132, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4806, predictive_accuracy: 0.6689, prior_entropy: 1.3842, recall: 0.6689, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.968, scimark_benchmark: 1347.5461, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5622, kappa: 0.0373, kb_relative_information_score: 91.3498, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5112, predictive_accuracy: 0.6459, prior_entropy: 1.3842, recall: 0.6459, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.9455, scimark_benchmark: 892.0148, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.599, kappa: 0.1357, kb_relative_information_score: 63.6036, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5625, predictive_accuracy: 0.6554, prior_entropy: 1.3842, recall: 0.6554, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0591, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6145, kappa: 0.1718, kb_relative_information_score: 93.0802, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.575, predictive_accuracy: 0.6743, prior_entropy: 1.3842, recall: 0.6743, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9619, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6145, kappa: 0.1718, kb_relative_information_score: 93.0802, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.575, predictive_accuracy: 0.6743, prior_entropy: 1.3842, recall: 0.6743, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9619, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 1341.3551, usercpu_time_millis: 1010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 1314.2279, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 1286.0816, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1311.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 946.9304, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 879.4299, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.5665, kappa: 0.0384, kb_relative_information_score: 61.8821, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5259, predictive_accuracy: 0.6595, prior_entropy: 1.3842, recall: 0.6595, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.9905, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1322.7279, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.6095, kappa: 0.1945, kb_relative_information_score: 91.0103, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5793, predictive_accuracy: 0.6432, prior_entropy: 1.3842, recall: 0.6432, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3587, root_relative_squared_error: 1.0235, scimark_benchmark: 1320.1171, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5809, kappa: 0.1351, kb_relative_information_score: 80.7177, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5734, predictive_accuracy: 0.5892, prior_entropy: 1.3842, recall: 0.5892, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1762, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6145, kappa: 0.1718, kb_relative_information_score: 93.0802, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.575, predictive_accuracy: 0.6743, prior_entropy: 1.3842, recall: 0.6743, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9619, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.5953, kappa: 0.1394, kb_relative_information_score: 93.9633, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5599, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9672, scimark_benchmark: 942.2392, usercpu_time_millis: 1450, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 1051.249, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 934.5964, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 974.2014, usercpu_time_millis: 1050, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5774, kappa: 0.1281, kb_relative_information_score: 76.8142, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5705, predictive_accuracy: 0.5851, prior_entropy: 1.3842, recall: 0.5851, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.1821, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5809, kappa: 0.1351, kb_relative_information_score: 80.7177, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5734, predictive_accuracy: 0.5892, prior_entropy: 1.3842, recall: 0.5892, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1762, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.5479, kappa: 0.0322, kb_relative_information_score: 46.1736, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5093, predictive_accuracy: 0.5973, prior_entropy: 1.3842, recall: 0.5973, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.0809, scimark_benchmark: 1337.4384, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5774, kappa: 0.1281, kb_relative_information_score: 76.8142, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5705, predictive_accuracy: 0.5851, prior_entropy: 1.3842, recall: 0.5851, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.1821, scimark_benchmark: 918.5231, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6145, kappa: 0.1718, kb_relative_information_score: 93.0802, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.575, predictive_accuracy: 0.6743, prior_entropy: 1.3842, recall: 0.6743, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9619, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 1325.4787, usercpu_time_millis: 910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.5947, kappa: 0.1445, kb_relative_information_score: 89.2327, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5631, predictive_accuracy: 0.6324, prior_entropy: 1.3842, recall: 0.6324, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.9984, scimark_benchmark: 911.442, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.5763, kappa: 0.1111, kb_relative_information_score: 65.5215, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5523, predictive_accuracy: 0.6027, prior_entropy: 1.3842, recall: 0.6027, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3835, root_relative_squared_error: 1.0945, scimark_benchmark: 906.0884, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5449, kb_relative_information_score: 174.6005, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.1492, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 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