OpenML
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 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: 0.8555, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.8029, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.86, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7486, kappa: 0.4952, kb_relative_information_score: 46.0522, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8748, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7084, kappa: 0.4144, kb_relative_information_score: 35.0276, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.909, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6064, kappa: 0.2292, kb_relative_information_score: 13.4364, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6241, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0014, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7168, kappa: 0.4325, kb_relative_information_score: 40.7888, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7231, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9249, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7997, kappa: 0.5976, kb_relative_information_score: 51.6086, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.754, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6966, kappa: 0.392, kb_relative_information_score: 32.3824, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7024, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9219, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8299, kappa: 0.6584, kb_relative_information_score: 21.3308, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8493, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 20.6573, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.883, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 941.8057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.4556, kappa: 0.0348, kb_relative_information_score: 7.529, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5422, predictive_accuracy: 0.54, prior_entropy: 0.9975, recall: 0.54, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3589, scimark_benchmark: 941.8057, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 29.1072, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9057, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7899, kappa: 0.578, kb_relative_information_score: 57.9244, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8919, scimark_benchmark: 945.3151, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8095, kappa: 0.6172, kb_relative_information_score: 61.7995, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8734, scimark_benchmark: 929.566, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 53.1462, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9012, scimark_benchmark: 868.2731, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 11.3528, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0367, scimark_benchmark: 930.32, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 52.926, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9586, scimark_benchmark: 902.4773, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7573, kappa: 0.5136, kb_relative_information_score: 42.1845, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8778, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.4556, kappa: 0.0348, kb_relative_information_score: 7.529, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5422, predictive_accuracy: 0.54, prior_entropy: 0.9975, recall: 0.54, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3589, scimark_benchmark: 928.3108, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.62, kappa: 0.2373, kb_relative_information_score: 23.6092, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2351, scimark_benchmark: 799.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, build_cpu_time: 0.0412, build_memory: 1297856792, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 20.8109, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.975, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, build_cpu_time: 0.0445, build_memory: 1106552617.6, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 20.8109, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.975, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, build_cpu_time: 0.0369, build_memory: 1149962456, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 20.8109, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.975, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.034, build_memory: 710105038.4, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 21.8777, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.965, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, build_cpu_time: 0.0099, build_memory: 551558246.4, f_measure: 0.7901, kappa: 0.579, kb_relative_information_score: 56.8454, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8315, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, build_cpu_time: 0.0125, build_memory: 1269210192, f_measure: 0.7802, kappa: 0.5605, kb_relative_information_score: 57.3929, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7828, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8418, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 0.0157, build_memory: 443408332, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 57.3269, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.832, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, build_cpu_time: 0.0187, build_memory: 93577249.6, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 58.3462, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8285, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, build_cpu_time: 0.0254, build_memory: 1030813609.6, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 58.3462, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8285, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0055, build_memory: 763913674.4, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0042, build_memory: 36035903.2, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.002, build_memory: 1250489827.2, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, build_cpu_time: 0.0015, build_memory: 2161410572.8, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, build_cpu_time: 0.0695, build_memory: 914263821.6, f_measure: 0.7888, kappa: 0.5759, kb_relative_information_score: 57.454, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7917, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8756, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.1198, build_memory: 2091877108.8, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 54.9631, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9026, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 0.0404, build_memory: 2018107217.6, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 53.1462, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9012, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, build_cpu_time: 0.2002, build_memory: 485136966.4, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 11.3528, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0367, scimark_benchmark: 920.2722,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, build_cpu_time: 0.001, build_memory: 1003290601.6, f_measure: 0.7573, kappa: 0.5136, kb_relative_information_score: 42.1845, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7646, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8778, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, build_cpu_time: 0.0284, build_memory: 1214979508.8, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 46.2174, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.709, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, build_cpu_time: 0.0028, build_memory: 404085160, f_measure: 0.7624, kappa: 0.5298, kb_relative_information_score: 44.653, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7932, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8466, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, build_cpu_time: 0.0003, build_memory: 1328204336, f_measure: 0.5984, kappa: 0.1932, kb_relative_information_score: 19.273, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5987, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2535, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, build_cpu_time: 0.0067, build_memory: 443741368, f_measure: 0.4556, kappa: 0.0348, kb_relative_information_score: 7.529, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5422, predictive_accuracy: 0.54, prior_entropy: 0.9975, recall: 0.54, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3589, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.0047, build_memory: 501806240, f_measure: 0.66, kappa: 0.3175, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, build_cpu_time: 0.0056, build_memory: 78048800, f_measure: 0.62, kappa: 0.2373, kb_relative_information_score: 23.6092, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2351, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, build_cpu_time: 0.002, build_memory: 144470148.8, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 14.5542, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9946, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, build_cpu_time: 0.004, build_memory: 1369855756.8, f_measure: 0.8291, kappa: 0.6567, kb_relative_information_score: 43.5815, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8323, predictive_accuracy: 0.83, prior_entropy: 0.9975, recall: 0.83, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7479, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, build_cpu_time: 0.0004, build_memory: 1155150824, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, build_cpu_time: 0.0008, build_memory: 283057064, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, build_cpu_time: 0.0011, build_memory: 460778432, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 49.7648, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9626, scimark_benchmark: 938.2445,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs