Task
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 3796 Supervised Classification fri_c4_250_25 590 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: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 936.3213, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8119, kappa: 0.6208, kb_relative_information_score: 141.7452, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.383, root_relative_squared_error: 0.769, scimark_benchmark: 941.3057, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7668, kappa: 0.529, kb_relative_information_score: 79.2258, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7681, predictive_accuracy: 0.768, prior_entropy: 0.9945, recall: 0.768, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8003, scimark_benchmark: 935.5664, usercpu_time_millis: 3770, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8028, kappa: 0.6018, kb_relative_information_score: 79.9992, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8049, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.801, scimark_benchmark: 939.8002, usercpu_time_millis: 1780, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7917, kappa: 0.5796, kb_relative_information_score: 80.874, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.792, prior_entropy: 0.9945, recall: 0.792, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8007, scimark_benchmark: 941.589, usercpu_time_millis: 680, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7632, kappa: 0.5219, kb_relative_information_score: 84.3731, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7637, predictive_accuracy: 0.764, prior_entropy: 0.9945, recall: 0.764, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7885, scimark_benchmark: 924.2305, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7504, kappa: 0.4958, kb_relative_information_score: 89.2533, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7522, predictive_accuracy: 0.752, prior_entropy: 0.9945, recall: 0.752, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7913, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7843, kappa: 0.5659, kb_relative_information_score: 137.3714, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7849, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.816, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7843, kappa: 0.5659, kb_relative_information_score: 137.3714, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7849, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.816, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7797, kappa: 0.5556, kb_relative_information_score: 131.0493, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9945, recall: 0.78, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8314, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7797, kappa: 0.5556, kb_relative_information_score: 130.3334, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9945, recall: 0.78, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.809, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8036, kappa: 0.6035, kb_relative_information_score: 126.256, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8038, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7812, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 162.8658, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7816, scimark_benchmark: 926.5859, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8439, kappa: 0.6853, kb_relative_information_score: 163.2793, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7505, scimark_benchmark: 935.6052, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7921, kappa: 0.5813, kb_relative_information_score: 145.5102, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7924, predictive_accuracy: 0.792, prior_entropy: 0.9945, recall: 0.792, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8111, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7795, kappa: 0.555, kb_relative_information_score: 133.8437, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9945, recall: 0.78, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8634, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7635, kappa: 0.5226, kb_relative_information_score: 123.0719, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7636, predictive_accuracy: 0.764, prior_entropy: 0.9945, recall: 0.764, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9176, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 19.4505, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8073, kappa: 0.6108, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8109, kappa: 0.6181, kb_relative_information_score: 71.1247, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.813, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8038, scimark_benchmark: 923.7471, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7465, kappa: 0.4881, kb_relative_information_score: 55.8663, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.748, predictive_accuracy: 0.748, prior_entropy: 0.9945, recall: 0.748, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8745, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 930.0565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 933.5515, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 939.3886, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 119.3348, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7187, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 946.6409, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8119, kappa: 0.6208, kb_relative_information_score: 141.7452, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.383, root_relative_squared_error: 0.769, scimark_benchmark: 928.8135, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 935.627, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1322.7279, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 119.3348, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7187, scimark_benchmark: 1318.4315, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 1332.7986, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 1345.6844, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1345.6844, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1334.863, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 119.3348, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7187, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 1342.8584, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8119, kappa: 0.6208, kb_relative_information_score: 141.7452, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.383, root_relative_squared_error: 0.769, scimark_benchmark: 1309.2287, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 1367.3264, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1346.0226, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 1344.0499, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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