OpenML
Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 3645 Supervised Classification fri_c1_500_25 565 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: 0.9179, f_measure: 0.8178, kappa: 0.6336, kb_relative_information_score: 309.9921, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 0.9967, recall: 0.818, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6974, scimark_benchmark: 894.7131, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8599, kappa: 0.7184, kb_relative_information_score: 319.1097, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6411, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8594, kappa: 0.7172, kb_relative_information_score: 295.0207, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8616, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6443, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8638, kappa: 0.726, kb_relative_information_score: 359.838, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6792, scimark_benchmark: 936.1714, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8658, kappa: 0.7301, kb_relative_information_score: 357.7232, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9967, recall: 0.866, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6771, scimark_benchmark: 935.6052, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8497, kappa: 0.6977, kb_relative_information_score: 331.2175, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.71, scimark_benchmark: 940.0055, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8359, kappa: 0.6701, kb_relative_information_score: 321.1055, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7405, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7639, kappa: 0.5307, kb_relative_information_score: 248.8198, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7726, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8434, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3718, kb_relative_information_score: 30.8877, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3685, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.808, kappa: 0.6142, kb_relative_information_score: 301.8196, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9967, recall: 0.808, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8457, scimark_benchmark: 942.6192, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8321, kappa: 0.663, kb_relative_information_score: 160.4803, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8325, predictive_accuracy: 0.832, prior_entropy: 0.9967, recall: 0.832, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7774, scimark_benchmark: 924.4107, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7045, kappa: 0.4068, kb_relative_information_score: 85.4284, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7103, predictive_accuracy: 0.708, prior_entropy: 0.9967, recall: 0.708, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8893, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.844, kappa: 0.6864, kb_relative_information_score: 289.9551, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7117, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8396, kappa: 0.6775, kb_relative_information_score: 253.4891, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6813, scimark_benchmark: 919.6941, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8557, kappa: 0.7099, kb_relative_information_score: 309.2834, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9967, recall: 0.856, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6391, scimark_benchmark: 906.0884, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 946.8777, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8715, kappa: 0.7415, kb_relative_information_score: 302.6769, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6214, scimark_benchmark: 922.5036, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6693, kappa: 0.3349, kb_relative_information_score: 121.2067, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.9967, recall: 0.67, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9318, scimark_benchmark: 952.4682, usercpu_time_millis: 5030, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8238, kappa: 0.6458, kb_relative_information_score: 285.9188, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7578, scimark_benchmark: 952.4682, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 235.702, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6685, scimark_benchmark: 949.7766, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.844, kappa: 0.6864, kb_relative_information_score: 289.9551, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7117, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 1337.1889, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8715, kappa: 0.7415, kb_relative_information_score: 302.6769, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6214, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 1292.514, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8308, kappa: 0.6598, kb_relative_information_score: 281.0808, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.835, predictive_accuracy: 0.832, prior_entropy: 0.9967, recall: 0.832, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6729, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6693, kappa: 0.3349, kb_relative_information_score: 121.2067, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.9967, recall: 0.67, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9318, scimark_benchmark: 1340.6048, usercpu_time_millis: 2680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2620,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8715, kappa: 0.7415, kb_relative_information_score: 302.6769, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6214, scimark_benchmark: 1326.2019, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8238, kappa: 0.6458, kb_relative_information_score: 285.9188, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7578, scimark_benchmark: 1338.5214, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 235.702, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6685, scimark_benchmark: 1342.2845, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8396, kappa: 0.6775, kb_relative_information_score: 253.4891, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6813, scimark_benchmark: 1310.3168, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8557, kappa: 0.7099, kb_relative_information_score: 309.2834, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9967, recall: 0.856, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6391, scimark_benchmark: 1339.3082, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8715, kappa: 0.7415, kb_relative_information_score: 302.6769, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9967, recall: 0.872, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6214, scimark_benchmark: 1336.0954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 1342.3029, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8308, kappa: 0.6598, kb_relative_information_score: 281.0808, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.835, predictive_accuracy: 0.832, prior_entropy: 0.9967, recall: 0.832, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6729, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 235.702, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6685, scimark_benchmark: 942.9708, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8396, kappa: 0.6775, kb_relative_information_score: 253.4891, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6813, scimark_benchmark: 1371.9645, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6693, kappa: 0.3349, kb_relative_information_score: 121.2067, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.9967, recall: 0.67, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9318, scimark_benchmark: 1341.5795, usercpu_time_millis: 2590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8656, kappa: 0.7296, kb_relative_information_score: 274.8848, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8668, predictive_accuracy: 0.866, prior_entropy: 0.9967, recall: 0.866, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6815, scimark_benchmark: 1335.2029, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8736, kappa: 0.7458, kb_relative_information_score: 201.3468, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8748, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7113, scimark_benchmark: 1328.1857, usercpu_time_millis: 570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8433, kappa: 0.6848, kb_relative_information_score: 286.6753, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6654, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 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