OpenML
Supervised Classification on tumors_C

Supervised Classification on tumors_C

Task 4647 Supervised Classification tumors_C 80 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 904.0772, usercpu_time_millis: 2540, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 904.0772, usercpu_time_millis: 2210, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 941.6675, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 46.3671, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 941.6675, usercpu_time_millis: 340, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6062, kappa: 0.1275, kb_relative_information_score: 58.2059, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6032, predictive_accuracy: 0.61, prior_entropy: 0.9383, recall: 0.61, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2934, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 936.3373, usercpu_time_millis: 2420, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 974.2014, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5454, kappa: -0.0039, kb_relative_information_score: 0.5633, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5421, predictive_accuracy: 0.615, prior_entropy: 0.9383, recall: 0.615, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.005, scimark_benchmark: 943.1009, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 908.9569, usercpu_time_millis: 4000, usercpu_time_millis_testing: 2420, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 934.5964, usercpu_time_millis: 3110, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 930.404, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 46.3671, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 941.4991, usercpu_time_millis: 300, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5454, kappa: -0.0039, kb_relative_information_score: 0.5633, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5421, predictive_accuracy: 0.615, prior_entropy: 0.9383, recall: 0.615, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.005, scimark_benchmark: 945.6228, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 949.7766, usercpu_time_millis: 1760, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 952.4682, usercpu_time_millis: 1700, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 938.838, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 46.3671, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 946.9304, usercpu_time_millis: 310, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6062, kappa: 0.1275, kb_relative_information_score: 58.2059, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6032, predictive_accuracy: 0.61, prior_entropy: 0.9383, recall: 0.61, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2934, scimark_benchmark: 910.6607, usercpu_time_millis: 454670, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 454590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5454, kappa: -0.0039, kb_relative_information_score: 0.5633, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5421, predictive_accuracy: 0.615, prior_entropy: 0.9383, recall: 0.615, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.005, scimark_benchmark: 928.8135, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1346.6261, usercpu_time_millis: 2700, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1292.514, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1295.609, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1325.2978, usercpu_time_millis: 2800, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1362.9924, usercpu_time_millis: 220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 1307.8606, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 121.29, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1340.9749, usercpu_time_millis: 3400, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 1324.7884, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1310.3168, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5667, kappa: 0.0325, kb_relative_information_score: 5.4806, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.565, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0189, scimark_benchmark: 1306.9281, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1324.7884, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6062, kappa: 0.1275, kb_relative_information_score: 58.2059, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6032, predictive_accuracy: 0.61, prior_entropy: 0.9383, recall: 0.61, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2934, scimark_benchmark: 1333.6736, usercpu_time_millis: 524120, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 523870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1337.3324, usercpu_time_millis: 240, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6062, kappa: 0.1275, kb_relative_information_score: 58.2059, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6032, predictive_accuracy: 0.61, prior_entropy: 0.9383, recall: 0.61, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2934, scimark_benchmark: 1332.7986, usercpu_time_millis: 482210, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 481980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5454, kappa: -0.0039, kb_relative_information_score: 0.5633, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5421, predictive_accuracy: 0.615, prior_entropy: 0.9383, recall: 0.615, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.005, scimark_benchmark: 1338.5214, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.6154, kappa: 0.149, kb_relative_information_score: 81.1232, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.613, predictive_accuracy: 0.6183, prior_entropy: 0.9383, recall: 0.6183, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2786, scimark_benchmark: 1325.6322, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5454, kappa: -0.0039, kb_relative_information_score: 0.5633, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5421, predictive_accuracy: 0.615, prior_entropy: 0.9383, recall: 0.615, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.005, scimark_benchmark: 1325.6322, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.6492, kappa: 0.2274, kb_relative_information_score: 90.1752, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6485, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1636, scimark_benchmark: 885.0921, usercpu_time_millis: 5000, usercpu_time_millis_training: 5000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.6072, kappa: 0.1422, kb_relative_information_score: 57.3337, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.6098, predictive_accuracy: 0.605, prior_entropy: 0.9383, recall: 0.605, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2967, scimark_benchmark: 895.5332, usercpu_time_millis: 161640, usercpu_time_millis_training: 161640,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1815, kb_relative_information_score: -286.7454, mean_absolute_error: 0.65, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.1225, predictive_accuracy: 0.35, prior_entropy: 0.9383, recall: 0.35, relative_absolute_error: 1.424, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.8062, root_relative_squared_error: 1.6902, scimark_benchmark: 1350.9691, usercpu_time_millis: 1270, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5667, kappa: 0.0476, kb_relative_information_score: 7.5425, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5667, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.649, root_relative_squared_error: 1.3606, scimark_benchmark: 1337.446, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.459, f_measure: 0.5072, kappa: -0.0819, kb_relative_information_score: -73.6603, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5077, predictive_accuracy: 0.5067, prior_entropy: 0.9383, recall: 0.5067, relative_absolute_error: 1.0808, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4725, scimark_benchmark: 1465.2979, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5959, kappa: 0.0916, kb_relative_information_score: 75.9527, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5897, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 1465.2979, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: -1.7914, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0013, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5637, kappa: 0.0461, kb_relative_information_score: 1.1404, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.566, predictive_accuracy: 0.5617, prior_entropy: 0.9383, recall: 0.5617, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3661, scimark_benchmark: 1351.788, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, build_cpu_time: 6.3555, build_memory: 1195957819.52, f_measure: 0.5632, kappa: 0.0236, kb_relative_information_score: -0.3175, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5592, predictive_accuracy: 0.6133, prior_entropy: 0.9383, recall: 0.6133, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0233, scimark_benchmark: 899.1537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.5795, kappa: 0.0546, kb_relative_information_score: -1.0281, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4565, number_of_instances: 600, precision: 0.5739, predictive_accuracy: 0.6133, prior_entropy: 0.9383, recall: 0.6133, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0364,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs