Task
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 4408 Supervised Classification fri_c4_500_25 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8492, kappa: 0.6926, kb_relative_information_score: 3284.1373, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8492, predictive_accuracy: 0.8492, prior_entropy: 0.9867, recall: 0.8492, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7227, scimark_benchmark: 1367.3264, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.6645, kb_relative_information_score: 2951.8299, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8357, predictive_accuracy: 0.8346, prior_entropy: 0.9867, recall: 0.8346, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7132, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 1278.9821, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 1352.3373, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 1362.1309, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6979, kappa: 0.3816, kb_relative_information_score: 1945.18, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7008, predictive_accuracy: 0.7026, prior_entropy: 0.9867, recall: 0.7026, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1009, scimark_benchmark: 1307.3987, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 1344.4042, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 1281.7531, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 938.0414, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.6335, kappa: 0.2499, kb_relative_information_score: 1287.0205, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6331, predictive_accuracy: 0.6368, prior_entropy: 0.9867, recall: 0.6368, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.1563, scimark_benchmark: 1341.2425, usercpu_time_millis: 16440, usercpu_time_millis_testing: 16440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 1295.0797, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8526, kappa: 0.6997, kb_relative_information_score: 3426.0242, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8526, predictive_accuracy: 0.8526, prior_entropy: 0.9867, recall: 0.8526, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.376, root_relative_squared_error: 0.759, scimark_benchmark: 1346.3935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 1328.941, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8432, kappa: 0.6801, kb_relative_information_score: 3015.6926, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6786, scimark_benchmark: 1327.2954, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8406, kappa: 0.6748, kb_relative_information_score: 3038.296, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8408, prior_entropy: 0.9867, recall: 0.8408, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7144, scimark_benchmark: 1339.9935, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.86, kappa: 0.7147, kb_relative_information_score: 2701.5575, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6588, scimark_benchmark: 1346.3935, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8623, kappa: 0.7189, kb_relative_information_score: 3472.598, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8624, predictive_accuracy: 0.8626, prior_entropy: 0.9867, recall: 0.8626, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6867, scimark_benchmark: 929.0363, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8516, kappa: 0.6965, kb_relative_information_score: 2132.1072, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8526, predictive_accuracy: 0.8524, prior_entropy: 0.9867, recall: 0.8524, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6978, scimark_benchmark: 1327.5791, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.854, kappa: 0.7016, kb_relative_information_score: 2141.0343, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8548, prior_entropy: 0.9867, recall: 0.8548, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6987, scimark_benchmark: 1331.2332, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8565, kappa: 0.7071, kb_relative_information_score: 2984.2659, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8565, predictive_accuracy: 0.8568, prior_entropy: 0.9867, recall: 0.8568, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6419, scimark_benchmark: 1343.5291, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8749, kappa: 0.7451, kb_relative_information_score: 2999.0887, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9867, recall: 0.875, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6136, scimark_benchmark: 937.1527, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8479, kappa: 0.6897, kb_relative_information_score: 3040.544, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9867, recall: 0.8482, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6662, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8363, kappa: 0.6663, kb_relative_information_score: 3198.0458, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8364, prior_entropy: 0.9867, recall: 0.8364, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7521, scimark_benchmark: 1327.5791, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7456, kappa: 0.4834, kb_relative_information_score: 1466.3556, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7469, predictive_accuracy: 0.745, prior_entropy: 0.9867, recall: 0.745, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8617, scimark_benchmark: 1319.4881, usercpu_time_millis: 2360, usercpu_time_millis_testing: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8433, kappa: 0.6804, kb_relative_information_score: 2987.6417, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8432, predictive_accuracy: 0.8434, prior_entropy: 0.9867, recall: 0.8434, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6789, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.853, kappa: 0.6993, kb_relative_information_score: 2125.1413, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.854, predictive_accuracy: 0.8538, prior_entropy: 0.9867, recall: 0.8538, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6973, scimark_benchmark: 891.9953, usercpu_time_millis: 550, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8754, kappa: 0.746, kb_relative_information_score: 3000.375, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8753, predictive_accuracy: 0.8754, prior_entropy: 0.9867, recall: 0.8754, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6142, scimark_benchmark: 1307.4861, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8742, kappa: 0.7435, kb_relative_information_score: 3001.9766, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8741, predictive_accuracy: 0.8742, prior_entropy: 0.9867, recall: 0.8742, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6171, scimark_benchmark: 1339.3974, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8694, kappa: 0.7338, kb_relative_information_score: 2996.6024, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8694, predictive_accuracy: 0.8694, prior_entropy: 0.9867, recall: 0.8694, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.622, scimark_benchmark: 1291.6995, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8626, kappa: 0.7201, kb_relative_information_score: 2976.9252, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9867, recall: 0.8626, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6349, scimark_benchmark: 940.0008, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8632, kappa: 0.7213, kb_relative_information_score: 3417.6275, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9867, recall: 0.8632, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6997, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8844, kappa: 0.7645, kb_relative_information_score: 3650.9523, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8844, predictive_accuracy: 0.8844, prior_entropy: 0.9867, recall: 0.8844, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5976, scimark_benchmark: 1335.643, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8826, kappa: 0.7607, kb_relative_information_score: 3520.8314, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8826, predictive_accuracy: 0.8826, prior_entropy: 0.9867, recall: 0.8826, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5917, scimark_benchmark: 1337.7959, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8713, kappa: 0.7376, kb_relative_information_score: 3279.5977, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8713, predictive_accuracy: 0.8714, prior_entropy: 0.9867, recall: 0.8714, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.609, scimark_benchmark: 1330.0694, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8537, kappa: 0.702, kb_relative_information_score: 2901.1397, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8538, predictive_accuracy: 0.8536, prior_entropy: 0.9867, recall: 0.8536, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6507, scimark_benchmark: 916.6405, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8389, kappa: 0.6717, kb_relative_information_score: 2505.0631, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8389, predictive_accuracy: 0.8388, prior_entropy: 0.9867, recall: 0.8388, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7007, scimark_benchmark: 1404.1865, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6537, kappa: 0.291, kb_relative_information_score: 893.7782, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6544, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9643, scimark_benchmark: 1313.9994, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6433, kappa: 0.2701, kb_relative_information_score: 1034.1489, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.643, predictive_accuracy: 0.6464, prior_entropy: 0.9867, recall: 0.6464, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0018, scimark_benchmark: 942.9518, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.5375, kappa: 0.0612, kb_relative_information_score: 236.262, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.5394, predictive_accuracy: 0.5362, prior_entropy: 0.9867, recall: 0.5362, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.681, root_relative_squared_error: 1.3748, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 562.8461, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 1315.395, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.6521, kappa: 0.288, kb_relative_information_score: 1456.3308, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6519, predictive_accuracy: 0.655, prior_entropy: 0.9867, recall: 0.655, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1858, scimark_benchmark: 1318.5526, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6621, kappa: 0.3086, kb_relative_information_score: 887.2052, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6618, predictive_accuracy: 0.6646, prior_entropy: 0.9867, recall: 0.6646, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.931, scimark_benchmark: 1333.5799, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6718, kappa: 0.3302, kb_relative_information_score: 1635.0278, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6714, predictive_accuracy: 0.6724, prior_entropy: 0.9867, recall: 0.6724, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1555, scimark_benchmark: 938.343, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6761, kappa: 0.3378, kb_relative_information_score: 1145.6842, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.6758, predictive_accuracy: 0.678, prior_entropy: 0.9867, recall: 0.678, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9452, scimark_benchmark: 934.1747, usercpu_time_millis: 4930, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8513, kappa: 0.6964, kb_relative_information_score: 3073.9625, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8513, predictive_accuracy: 0.8516, prior_entropy: 0.9867, recall: 0.8516, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6578, scimark_benchmark: 1372.2145, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.866, kappa: 0.7265, kb_relative_information_score: 2450.0174, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9867, recall: 0.8664, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6602, scimark_benchmark: 1304.6687, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.7707, kappa: 0.5324, kb_relative_information_score: 2645.5899, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9867, recall: 0.7708, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9665, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8373, kappa: 0.6689, kb_relative_information_score: 2930.2412, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8375, predictive_accuracy: 0.8372, prior_entropy: 0.9867, recall: 0.8372, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7349, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8354, kappa: 0.6644, kb_relative_information_score: 3012.1045, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8354, prior_entropy: 0.9867, recall: 0.8354, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7685, scimark_benchmark: 1301.9956, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6368, kappa: 0.2566, kb_relative_information_score: 1312.5517, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.637, predictive_accuracy: 0.641, prior_entropy: 0.9867, recall: 0.641, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5992, root_relative_squared_error: 1.2096, scimark_benchmark: 1280.6952, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2606, kb_relative_information_score: -833.8658, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.1866, predictive_accuracy: 0.432, prior_entropy: 0.9867, recall: 0.432, relative_absolute_error: 1.1573, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5215, scimark_benchmark: 1301.9956, usercpu_time_millis: 340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8238, kappa: 0.6408, kb_relative_information_score: 3108.8533, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4908, number_of_instances: 5000, precision: 0.8237, predictive_accuracy: 0.8238, prior_entropy: 0.9867, recall: 0.8238, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7854, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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