OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 267 Supervised Classification diabetes 373 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 1337.3324, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1338.5214, usercpu_time_millis: 2230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 87.3794, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9335, recall: 0.751, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8635, scimark_benchmark: 1350.8432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1323.5075, usercpu_time_millis: 330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7132, kappa: 0.3764, kb_relative_information_score: 59.0182, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7119, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9708, scimark_benchmark: 1322.0065, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7282, kappa: 0.4148, kb_relative_information_score: 82.2384, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7293, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8588, scimark_benchmark: 1345.7919, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1286.0816, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1342.6744, usercpu_time_millis: 400, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1347.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1326.0745, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1296.9979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7176, kappa: 0.3865, kb_relative_information_score: 70.4283, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7164, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.45, root_relative_squared_error: 0.935, scimark_benchmark: 1382.5085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1331.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1267.7714, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1317.5857, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1260.1387, usercpu_time_millis: 380, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1354.3488, usercpu_time_millis: 4880, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.714, kappa: 0.3793, kb_relative_information_score: 83.9976, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7129, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8884, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7592, kappa: 0.4802, kb_relative_information_score: 82.5776, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7595, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8548, scimark_benchmark: 1326.8946, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7248, kappa: 0.3968, kb_relative_information_score: 62.8289, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7246, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8606, scimark_benchmark: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7567, kappa: 0.4704, kb_relative_information_score: 89.5775, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7557, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8264, scimark_benchmark: 1297.2338, usercpu_time_millis: 4880, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 84.2643, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9039, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 87.3794, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9335, recall: 0.751, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8635, scimark_benchmark: 1328.1857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7245, kappa: 0.4077, kb_relative_information_score: 79.2154, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7261, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 45.8317, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.603, root_relative_squared_error: 1.253, scimark_benchmark: 1322.7383, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 87.3794, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9335, recall: 0.751, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8635, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7689, kappa: 0.4931, kb_relative_information_score: 87.4031, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7708, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, scimark_benchmark: 1331.482, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7041, kappa: 0.377, kb_relative_information_score: 49.9573, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7156, predictive_accuracy: 0.6996, prior_entropy: 0.9335, recall: 0.6996, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9171, scimark_benchmark: 1367.8403, usercpu_time_millis: 1070, usercpu_time_millis_testing: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6774, kappa: 0.2937, kb_relative_information_score: 73.3068, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.6752, predictive_accuracy: 0.6838, prior_entropy: 0.9335, recall: 0.6838, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.1684, scimark_benchmark: 1342.5243, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 44.834, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9335, recall: 0.6957, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9295, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7075, kappa: 0.368, kb_relative_information_score: 66.9253, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7075, predictive_accuracy: 0.7075, prior_entropy: 0.9335, recall: 0.7075, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8838, scimark_benchmark: 1310.934, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7057, kappa: 0.3697, kb_relative_information_score: 53.9618, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7089, predictive_accuracy: 0.7036, prior_entropy: 0.9335, recall: 0.7036, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9615, scimark_benchmark: 1326.6647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7248, kappa: 0.3968, kb_relative_information_score: 62.8289, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7246, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8606, scimark_benchmark: 1342.6563, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7212, kappa: 0.3894, kb_relative_information_score: 98.4922, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7206, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0851, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7282, kappa: 0.4148, kb_relative_information_score: 82.2384, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7293, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8588, scimark_benchmark: 1338.01, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.724, kappa: 0.3981, kb_relative_information_score: 94.2243, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7226, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9807, scimark_benchmark: 942.6843, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7444, kappa: 0.443, kb_relative_information_score: 79.5362, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7432, predictive_accuracy: 0.747, prior_entropy: 0.9335, recall: 0.747, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8595, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6774, kappa: 0.2937, kb_relative_information_score: 73.0285, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.6752, predictive_accuracy: 0.6838, prior_entropy: 0.9335, recall: 0.6838, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1662, scimark_benchmark: 926.6704, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: 1.1396, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.405, predictive_accuracy: 0.6364, prior_entropy: 0.9335, recall: 0.6364, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0005, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7147, kappa: 0.3822, kb_relative_information_score: 60.2757, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7141, predictive_accuracy: 0.7154, prior_entropy: 0.9335, recall: 0.7154, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9552, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 44.1984, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9335, recall: 0.6957, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7248, kappa: 0.3968, kb_relative_information_score: 62.8289, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7246, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8606, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7136, kappa: 0.3693, kb_relative_information_score: 51.6629, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.727, predictive_accuracy: 0.7312, prior_entropy: 0.9335, recall: 0.7312, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.871, scimark_benchmark: 1363.454, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.6958, kappa: 0.3348, kb_relative_information_score: 43.1894, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7366, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8928, scimark_benchmark: 876.0664, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6984, kappa: 0.3373, kb_relative_information_score: 43.9585, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7226, predictive_accuracy: 0.7233, prior_entropy: 0.9335, recall: 0.7233, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8955, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7491, kappa: 0.45, kb_relative_information_score: 95.6949, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7497, predictive_accuracy: 0.7549, prior_entropy: 0.9335, recall: 0.7549, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8477, scimark_benchmark: 938.9967, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7537, kappa: 0.4655, kb_relative_information_score: 84.6908, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7529, predictive_accuracy: 0.7549, prior_entropy: 0.9335, recall: 0.7549, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.833, scimark_benchmark: 1321.3021, usercpu_time_millis: 600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7574, kappa: 0.4729, kb_relative_information_score: 85.4327, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7565, predictive_accuracy: 0.7589, prior_entropy: 0.9335, recall: 0.7589, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.829, scimark_benchmark: 1339.3974, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.716, kappa: 0.3807, kb_relative_information_score: 60.7809, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7145, predictive_accuracy: 0.7194, prior_entropy: 0.9335, recall: 0.7194, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9538, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7603, kappa: 0.4778, kb_relative_information_score: 98.2707, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7594, predictive_accuracy: 0.7628, prior_entropy: 0.9335, recall: 0.7628, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8419, scimark_benchmark: 918.6005, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7603, kappa: 0.4778, kb_relative_information_score: 97.5561, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4589, number_of_instances: 253, precision: 0.7594, predictive_accuracy: 0.7628, prior_entropy: 0.9335, recall: 0.7628, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8345, scimark_benchmark: 1280.6952, usercpu_time_millis: 110, usercpu_time_millis_training: 110,

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