OpenML
Supervised Classification on chscase_geyser1

Supervised Classification on chscase_geyser1

Task 3758 Supervised Classification chscase_geyser1 937 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: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 145.9041, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8799, kappa: 0.7464, kb_relative_information_score: 150.8212, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.89, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 149.0446, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 150.4825, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 133.5502, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7086, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 127.3985, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6514, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8667, kappa: 0.7188, kb_relative_information_score: 137.3198, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8729, predictive_accuracy: 0.8694, prior_entropy: 0.9694, recall: 0.8694, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6845, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8939, kappa: 0.7761, kb_relative_information_score: 143.8231, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9033, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6287, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 146.7173, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5918, scimark_benchmark: 943.8235, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 146.7173, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5918, scimark_benchmark: 901.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 131.2504, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7061, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.3895, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7072, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 131.2504, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7061, scimark_benchmark: 936.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 133.5502, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7086, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 127.3985, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6514, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8667, kappa: 0.7188, kb_relative_information_score: 137.3198, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8729, predictive_accuracy: 0.8694, prior_entropy: 0.9694, recall: 0.8694, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6845, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.3895, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7072, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8939, kappa: 0.7761, kb_relative_information_score: 143.8231, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9033, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6287, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 146.7173, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5918, scimark_benchmark: 763.3895, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8851, kappa: 0.7576, kb_relative_information_score: 145.4223, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8918, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6198, scimark_benchmark: 936.9595, usercpu_time_millis: 210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8895, kappa: 0.7668, kb_relative_information_score: 146.0946, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8975, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6159, scimark_benchmark: 945.2015, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 146.7173, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5918, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 127.3985, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6514, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1325.7874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 133.5502, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7086, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 127.3985, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6514, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.3895, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7072, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 133.5502, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7086, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8936, kappa: 0.7752, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9057, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658, scimark_benchmark: 1375.1578, 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