OpenML
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 950 runs submitted
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  • basic study_1 study_41 study_7 study_73 study_89 test-tagging testtag under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 857.4293, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1904, scimark_benchmark: 1348.7888, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9894, kappa: 0.9746, kb_relative_information_score: 748.2864, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.3354, scimark_benchmark: 932.5646, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9918, kappa: 0.9804, kb_relative_information_score: 746.2625, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.3327, scimark_benchmark: 909.1698, usercpu_time_millis: 820, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9918, kappa: 0.9804, kb_relative_information_score: 739.8195, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.3435, scimark_benchmark: 1347.5461, usercpu_time_millis: 800, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1559.4181, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9766, kappa: 0.9428, kb_relative_information_score: 821.1566, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1.2149, recall: 0.9766, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 1312.0581, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1342.6911, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 700.9239, usercpu_time_millis: 15.081, usercpu_time_millis_testing: 13.561, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1322.7257, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8244, kappa: 0.5178, kb_relative_information_score: 475.198, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.223, root_relative_squared_error: 0.8637, scimark_benchmark: 1318.2298, usercpu_time_millis: 840, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9859, kappa: 0.9665, kb_relative_information_score: 835.5136, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2596, scimark_benchmark: 1348.841, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1333.202, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.9607, kb_relative_information_score: 827.2226, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.983, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2604, scimark_benchmark: 1346.2927, usercpu_time_millis: 3100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9859, kappa: 0.9665, kb_relative_information_score: 835.5136, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2596, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1327.6367, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1347.7267, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1280.9535, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1310.6554, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.9607, kb_relative_information_score: 827.2226, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.983, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2604, scimark_benchmark: 1333.6736, usercpu_time_millis: 3100, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1317.5348, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1313.11, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1332.7986, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9632, kappa: 0.9066, kb_relative_information_score: 787.7649, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9682, predictive_accuracy: 0.961, prior_entropy: 1.2149, recall: 0.961, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.382, scimark_benchmark: 1332.9478, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 1324.6442, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8244, kappa: 0.5178, kb_relative_information_score: 475.198, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.223, root_relative_squared_error: 0.8637, scimark_benchmark: 1347.1763, usercpu_time_millis: 890, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 600,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 220.8146, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8255, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9865, kappa: 0.9667, kb_relative_information_score: 833.7952, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 1.2149, recall: 0.9866, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2224, scimark_benchmark: 889.4922, usercpu_time_millis: 880, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 838.7689, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.2079, scimark_benchmark: 911.2316, usercpu_time_millis: 1850, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.991, kappa: 0.9777, kb_relative_information_score: 841.3218, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.2007, scimark_benchmark: 917.2109, usercpu_time_millis: 4140, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 839.3878, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.199, scimark_benchmark: 943.6618, usercpu_time_millis: 8930, usercpu_time_millis_testing: 3920, usercpu_time_millis_training: 5010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9885, kappa: 0.972, kb_relative_information_score: 838.3942, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1985, scimark_benchmark: 933.3455, usercpu_time_millis: 17270, usercpu_time_millis_testing: 6830, usercpu_time_millis_training: 10440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 837.2218, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1875, scimark_benchmark: 901.4991, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.9607, kb_relative_information_score: 827.2226, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.983, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2604, scimark_benchmark: 901.4991, usercpu_time_millis: 2180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9843, kappa: 0.9612, kb_relative_information_score: 830.7466, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 1.2149, recall: 0.9844, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2467, scimark_benchmark: 933.3455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 933.3455, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9878, kappa: 0.9697, kb_relative_information_score: 840.3026, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.988, predictive_accuracy: 0.9878, prior_entropy: 1.2149, recall: 0.9878, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2481, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8244, kappa: 0.5178, kb_relative_information_score: 475.198, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8617, predictive_accuracy: 0.8508, prior_entropy: 1.2149, recall: 0.8508, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.223, root_relative_squared_error: 0.8637, scimark_benchmark: 730.6551, usercpu_time_millis: 2450, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1519.1492, usercpu_time_millis: 4.247, usercpu_time_millis_testing: 2.759, usercpu_time_millis_training: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7109, kappa: 0.3434, kb_relative_information_score: 93.7587, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8269, predictive_accuracy: 0.6314, prior_entropy: 1.2149, recall: 0.6314, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.3575, scimark_benchmark: 1519.1492, usercpu_time_millis: 362.437, usercpu_time_millis_testing: 2.974, usercpu_time_millis_training: 359.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1519.1492, usercpu_time_millis: 1.239, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1519.1492, usercpu_time_millis: 23.75, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 22.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1519.1492, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9851, kappa: 0.9636, kb_relative_information_score: 841.2139, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.2149, recall: 0.9855, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.2512, scimark_benchmark: 1519.1492, usercpu_time_millis: 12.769, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 11.981,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs