Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 246 Supervised Classification mfeat-karhunen 315 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9742, kappa: 0.9714, kb_relative_information_score: 504.7688, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9745, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7691, kappa: 0.7425, kb_relative_information_score: 467.9959, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7783, predictive_accuracy: 0.7682, prior_entropy: 3.3219, recall: 0.7682, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138, scimark_benchmark: 851.2074, usercpu_time_millis: 5910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 941.6675, usercpu_time_millis: 13950, usercpu_time_millis_testing: 6220, usercpu_time_millis_training: 7730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 941.6675, usercpu_time_millis: 470, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 938.191, usercpu_time_millis: 430, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 941.6675, usercpu_time_millis: 1460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 931.771, usercpu_time_millis: 1910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 937.5117, usercpu_time_millis: 10490, usercpu_time_millis_testing: 5880, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 974.2014, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 974.2014, usercpu_time_millis: 640, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 943.1009, usercpu_time_millis: 83760, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 83300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 943.1009, usercpu_time_millis: 2110, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 819.5729, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7691, kappa: 0.7425, kb_relative_information_score: 467.9959, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7783, predictive_accuracy: 0.7682, prior_entropy: 3.3219, recall: 0.7682, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138, scimark_benchmark: 608.4057, usercpu_time_millis: 8170, usercpu_time_millis_training: 8170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 859.5223, usercpu_time_millis: 6460, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 938.1282, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 903.2737, usercpu_time_millis: 540, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 941.4991, usercpu_time_millis: 400, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 941.4991, usercpu_time_millis: 1370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 932.438, usercpu_time_millis: 580, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 936.9595, usercpu_time_millis: 1990, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 551.4094, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.3219, recall: 0.9788, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3927, scimark_benchmark: 938.988, usercpu_time_millis: 110990, usercpu_time_millis_testing: 29390, usercpu_time_millis_training: 81600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9773, kappa: 0.9747, kb_relative_information_score: 550.6764, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9777, predictive_accuracy: 0.9773, prior_entropy: 3.3219, recall: 0.9773, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3963, scimark_benchmark: 938.4601, usercpu_time_millis: 56940, usercpu_time_millis_testing: 16050, usercpu_time_millis_training: 40890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9742, kappa: 0.9714, kb_relative_information_score: 550.5576, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4027, scimark_benchmark: 935.0213, usercpu_time_millis: 30890, usercpu_time_millis_testing: 7380, usercpu_time_millis_training: 23510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9668, kappa: 0.9629, kb_relative_information_score: 550.2211, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9673, predictive_accuracy: 0.9667, prior_entropy: 3.3219, recall: 0.9667, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.123, root_relative_squared_error: 0.41, scimark_benchmark: 911.2316, usercpu_time_millis: 14880, usercpu_time_millis_testing: 3650, usercpu_time_millis_training: 11230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9533, kappa: 0.9478, kb_relative_information_score: 544.1104, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.132, root_relative_squared_error: 0.4399, scimark_benchmark: 889.4922, usercpu_time_millis: 7750, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 6990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 5.6963, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.0573, kappa: 0.0955, kb_relative_information_score: 137.1981, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0341, predictive_accuracy: 0.1803, prior_entropy: 3.3219, recall: 0.1803, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9651, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 29.4082, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.4249, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1319.4538, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1329.8008, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1319.4538, usercpu_time_millis: 310, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1342.8584, usercpu_time_millis: 310, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1319.4538, usercpu_time_millis: 300, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1343.3311, usercpu_time_millis: 1860, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7691, kappa: 0.7425, kb_relative_information_score: 467.9959, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7783, predictive_accuracy: 0.7682, prior_entropy: 3.3219, recall: 0.7682, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138, scimark_benchmark: 1345.6844, usercpu_time_millis: 5440, usercpu_time_millis_training: 5440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9336, kappa: 0.9259, kb_relative_information_score: 614.995, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 3.3219, recall: 0.9333, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.349, scimark_benchmark: 1337.3324, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1325.4787, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1342.2845, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1326.2019, usercpu_time_millis: 270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1313.8988, usercpu_time_millis: 124100, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 122590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8446, kappa: 0.8281, kb_relative_information_score: 550.8767, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8472, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5722, scimark_benchmark: 1331.0047, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7691, kappa: 0.7425, kb_relative_information_score: 467.9959, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7783, predictive_accuracy: 0.7682, prior_entropy: 3.3219, recall: 0.7682, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138, scimark_benchmark: 1253.0071, usercpu_time_millis: 4970, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9406, kappa: 0.9293, kb_relative_information_score: 616.0782, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.954, predictive_accuracy: 0.9364, prior_entropy: 3.3219, recall: 0.9364, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3761, scimark_benchmark: 1342.9012, usercpu_time_millis: 12300, usercpu_time_millis_testing: 8870, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1354.7111, usercpu_time_millis: 340, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1323.3376, usercpu_time_millis: 310, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1330.6748, usercpu_time_millis: 340, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1347.6184, usercpu_time_millis: 340, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1342.6744, usercpu_time_millis: 380, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.885, kappa: 0.872, kb_relative_information_score: 536.7137, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8891, predictive_accuracy: 0.8848, prior_entropy: 3.3219, recall: 0.8848, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4712, scimark_benchmark: 1371.174, usercpu_time_millis: 1160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1332.7986, usercpu_time_millis: 115340, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 113900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1336.4564, usercpu_time_millis: 1800, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7007, kappa: 0.6696, kb_relative_information_score: 459.1884, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7033, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7478, scimark_benchmark: 1345.0202, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1373.7859, usercpu_time_millis: 320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9758, kappa: 0.973, kb_relative_information_score: 642.8662, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9761, predictive_accuracy: 0.9758, prior_entropy: 3.3219, recall: 0.9758, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2132, scimark_benchmark: 1360.6367, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8243, kappa: 0.8028, kb_relative_information_score: 527.9645, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8303, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 1343.3311, usercpu_time_millis: 121860, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 120360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9744, kappa: 0.9714, kb_relative_information_score: 526.5566, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9749, predictive_accuracy: 0.9742, prior_entropy: 3.3219, recall: 0.9742, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.4484, scimark_benchmark: 1348.1311, usercpu_time_millis: 1610, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 645.9135, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 3.3219, recall: 0.9803, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1899, scimark_benchmark: 1278.6629, usercpu_time_millis: 24570, usercpu_time_millis_testing: 21990, usercpu_time_millis_training: 2580,

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