Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 1777 Supervised Classification breast-cancer 346 runs submitted
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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: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1373.7859, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 1325.1482, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1334.1324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1281.7531, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 940.3347, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 1326.8946, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1341.5795, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1328.1857, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6886, kappa: 0.2269, kb_relative_information_score: 103.7156, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6842, predictive_accuracy: 0.7084, prior_entropy: 0.8796, recall: 0.7084, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9773, scimark_benchmark: 1313.5052, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1315.933, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1352.2099, usercpu_time_millis: 1840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.677, kappa: 0.1921, kb_relative_information_score: 127.0531, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6865, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9961, scimark_benchmark: 892.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6885, kappa: 0.2346, kb_relative_information_score: 100.9566, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6829, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9742, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.5952, kappa: 0.0214, kb_relative_information_score: 54.0013, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6343, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9724, scimark_benchmark: 1347.5461, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1342.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.6672, kappa: 0.175, kb_relative_information_score: 278.4493, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6601, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.2247, scimark_benchmark: 1349.1028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.69, kappa: 0.2343, kb_relative_information_score: 236.9956, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6845, predictive_accuracy: 0.7049, prior_entropy: 0.8796, recall: 0.7049, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0042, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.6726, kappa: 0.1897, kb_relative_information_score: 173.5429, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6659, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.1287, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1330.2021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.6604, kappa: 0.1605, kb_relative_information_score: 105.7294, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6526, predictive_accuracy: 0.6776, prior_entropy: 0.8796, recall: 0.6776, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0596, scimark_benchmark: 1322.4968, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6602, kappa: 0.1618, kb_relative_information_score: 107.8821, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6525, predictive_accuracy: 0.6755, prior_entropy: 0.8796, recall: 0.6755, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0608, scimark_benchmark: 1299.5783, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6781, kappa: 0.2009, kb_relative_information_score: 156.0701, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6725, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0043, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6384, kappa: 0.0968, kb_relative_information_score: 71.8789, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6403, predictive_accuracy: 0.6916, prior_entropy: 0.8796, recall: 0.6916, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9873, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.663, kappa: 0.1573, kb_relative_information_score: 98.2688, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6695, predictive_accuracy: 0.707, prior_entropy: 0.8796, recall: 0.707, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9922, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.6845, kappa: 0.22, kb_relative_information_score: 157.258, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6788, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0035, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6854, kappa: 0.2204, kb_relative_information_score: 164.284, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6801, predictive_accuracy: 0.7035, prior_entropy: 0.8796, recall: 0.7035, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9916, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6852, kappa: 0.2183, kb_relative_information_score: 165.7969, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6806, predictive_accuracy: 0.7056, prior_entropy: 0.8796, recall: 0.7056, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9831, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6854, kappa: 0.2224, kb_relative_information_score: 162.7209, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6797, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.985, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.685, kappa: 0.2202, kb_relative_information_score: 155.198, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6794, predictive_accuracy: 0.7021, prior_entropy: 0.8796, recall: 0.7021, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9849, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6709, kappa: 0.1801, kb_relative_information_score: 210.3072, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7033, predictive_accuracy: 0.7259, prior_entropy: 0.8796, recall: 0.7259, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9659, scimark_benchmark: 924.3698, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6693, kappa: 0.1733, kb_relative_information_score: 184.8793, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6824, predictive_accuracy: 0.7154, prior_entropy: 0.8796, recall: 0.7154, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0003, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5924, kappa: 0.1429, kb_relative_information_score: -134.3756, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6528, predictive_accuracy: 0.5741, prior_entropy: 0.8796, recall: 0.5741, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.6526, root_relative_squared_error: 1.4279, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.4166, kappa: 0.0328, kb_relative_information_score: -683.0993, mean_absolute_error: 0.5755, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.612, predictive_accuracy: 0.4245, prior_entropy: 0.8796, recall: 0.4245, relative_absolute_error: 1.3758, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.7586, root_relative_squared_error: 1.6599, scimark_benchmark: 1363.454, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 882.7843, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.6772, kappa: 0.1963, kb_relative_information_score: 332.296, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6728, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1956, scimark_benchmark: 1321.527, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6908, kappa: 0.2276, kb_relative_information_score: 165.4434, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6932, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9575, scimark_benchmark: 915.9324, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.6672, kappa: 0.175, kb_relative_information_score: 278.4493, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6601, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.2247, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1310.3951, usercpu_time_millis: 1610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1325.942, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6393, kappa: 0.1176, kb_relative_information_score: 105.7498, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6322, predictive_accuracy: 0.6497, prior_entropy: 0.8796, recall: 0.6497, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.2547, scimark_benchmark: 1313.5726,

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