OpenML
Supervised Classification on fri_c2_100_5

Supervised Classification on fri_c2_100_5

Task 3592 Supervised Classification fri_c2_100_5 905 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.7061, kappa: 0.383, kb_relative_information_score: 27.3892, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7059, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9668, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.8384, kappa: 0.661, kb_relative_information_score: 50.9095, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9721, recall: 0.84, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7481, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7198, kappa: 0.4105, kb_relative_information_score: 20.8317, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7291, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.904, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7495, kappa: 0.477, kb_relative_information_score: 44.541, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7491, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8874, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1332.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 1330.4755, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 1306.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1299.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7695, kappa: 0.5188, kb_relative_information_score: 38.6118, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7691, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8962, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 1324.6608, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7634, kappa: 0.5022, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7705, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789, scimark_benchmark: 1306.5596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7429, kappa: 0.4589, kb_relative_information_score: 40.0077, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7489, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8349, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.7388, kappa: 0.4538, kb_relative_information_score: 40.0898, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7382, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.886, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.817, kappa: 0.6154, kb_relative_information_score: 48.7272, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7297, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6927, kappa: 0.3534, kb_relative_information_score: 19.1588, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6949, predictive_accuracy: 0.7, prior_entropy: 0.9721, recall: 0.7, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9241, scimark_benchmark: 1264.9916, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7778, kappa: 0.5339, kb_relative_information_score: 30.6339, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7781, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9296, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.6619, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9292, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8046, kappa: 0.5887, kb_relative_information_score: 33.7329, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8137, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8248, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6488, kappa: 0.2609, kb_relative_information_score: 14.4979, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6514, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9716, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6695, kappa: 0.3043, kb_relative_information_score: 32.1847, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6733, predictive_accuracy: 0.68, prior_entropy: 0.9721, recall: 0.68, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1547, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7357, kappa: 0.4444, kb_relative_information_score: 29.852, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7369, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9369, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.728, kappa: 0.4304, kb_relative_information_score: 27.6059, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7274, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.935, scimark_benchmark: 1330.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7808, kappa: 0.5455, kb_relative_information_score: 53.3408, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7823, predictive_accuracy: 0.78, prior_entropy: 0.9721, recall: 0.78, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9574, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 49.8001, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8599, scimark_benchmark: 1322.496, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 40.2567, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8507, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7669, kappa: 0.5106, kb_relative_information_score: 31.6525, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7679, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8268, scimark_benchmark: 1263.2205, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.756, kappa: 0.4872, kb_relative_information_score: 38.0569, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7578, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.798, scimark_benchmark: 1342.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7198, kappa: 0.4105, kb_relative_information_score: 42.7627, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7291, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0607, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7991, kappa: 0.5798, kb_relative_information_score: 56.5988, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9032, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.3011, kappa: -0.0345, kb_relative_information_score: -5.9618, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.4556, predictive_accuracy: 0.4, prior_entropy: 0.9721, recall: 0.4, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0187, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.798, kappa: 0.5763, kb_relative_information_score: 30.853, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9721, recall: 0.8, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9278, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7264, kappa: 0.4255, kb_relative_information_score: 31.3861, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7266, predictive_accuracy: 0.73, prior_entropy: 0.9721, recall: 0.73, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8565, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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