Task
Supervised Classification on rmftsa_ladata

Supervised Classification on rmftsa_ladata

Task 3583 Supervised Classification rmftsa_ladata 547 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8771, kappa: 0.7494, kb_relative_information_score: 381.074, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8791, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6866, scimark_benchmark: 940.0055, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8794, kappa: 0.7541, kb_relative_information_score: 381.004, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8804, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8791, kappa: 0.7534, kb_relative_information_score: 381.9426, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8813, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6858, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 343.5887, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7106, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8758, kappa: 0.7473, kb_relative_information_score: 252.6135, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6569, scimark_benchmark: 923.7471, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8797, kappa: 0.7551, kb_relative_information_score: 308.1543, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8798, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6214, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8759, kappa: 0.7476, kb_relative_information_score: 322.3513, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6076, scimark_benchmark: 919.6941, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8739, kappa: 0.7435, kb_relative_information_score: 349.4242, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6092, scimark_benchmark: 934.929, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 946.8777, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9151, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 952.4682, usercpu_time_millis: 1890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8387, kappa: 0.6723, kb_relative_information_score: 319.0322, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8388, predictive_accuracy: 0.8386, prior_entropy: 0.9886, recall: 0.8386, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7253, scimark_benchmark: 946.6409, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 946.9304, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1354.1768, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8641, kappa: 0.7238, kb_relative_information_score: 352.2365, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8641, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6871, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1325.8468, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9151, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 1318.6467, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8759, kappa: 0.7476, kb_relative_information_score: 322.3513, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6076, scimark_benchmark: 1339.2472, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9151, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8641, kappa: 0.7238, kb_relative_information_score: 352.2365, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8641, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6871, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9151, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 1322.2005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 1352.9931, usercpu_time_millis: 810, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 1303.3869, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1343.3311, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1357.7543, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752, scimark_benchmark: 1278.6629, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8759, kappa: 0.7476, kb_relative_information_score: 322.3513, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6076, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 1264.9916, usercpu_time_millis: 910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8641, kappa: 0.7238, kb_relative_information_score: 352.2365, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8641, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6871, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8816, kappa: 0.759, kb_relative_information_score: 343.2039, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5784, scimark_benchmark: 918.0213, usercpu_time_millis: 2000, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 346.4321, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 926.6704, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8678, kappa: 0.7307, kb_relative_information_score: 350.7838, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6411, scimark_benchmark: 1354.7191, 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