Task
Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 3806 Supervised Classification fri_c0_500_10 591 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: 0.9315, f_measure: 0.856, kappa: 0.7115, kb_relative_information_score: 244.4157, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.856, kappa: 0.7115, kb_relative_information_score: 322.7134, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8515, kappa: 0.7028, kb_relative_information_score: 298.0454, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.852, prior_entropy: 0.9991, recall: 0.852, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8638, kappa: 0.7271, kb_relative_information_score: 238.1806, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8649, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.831, kappa: 0.6621, kb_relative_information_score: 280.2393, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7999, kappa: 0.5993, kb_relative_information_score: 260.6466, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8319, kappa: 0.6633, kb_relative_information_score: 334.1424, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8679, kappa: 0.7353, kb_relative_information_score: 351.3733, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9991, recall: 0.868, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8015, kappa: 0.6025, kb_relative_information_score: 267.1977, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8029, predictive_accuracy: 0.802, prior_entropy: 0.9991, recall: 0.802, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7259, kappa: 0.4511, kb_relative_information_score: 221.3983, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7259, predictive_accuracy: 0.726, prior_entropy: 0.9991, recall: 0.726, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.824, kappa: 0.6475, kb_relative_information_score: 230.2854, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9991, recall: 0.824, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8098, kappa: 0.619, kb_relative_information_score: 211.267, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.824, kappa: 0.6475, kb_relative_information_score: 230.2854, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9991, recall: 0.824, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8475, kappa: 0.6947, kb_relative_information_score: 332.6284, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8498, predictive_accuracy: 0.848, prior_entropy: 0.9991, recall: 0.848, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8577, kappa: 0.7149, kb_relative_information_score: 307.0841, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8593, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8138, kappa: 0.6269, kb_relative_information_score: 154.0725, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9991, recall: 0.814, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7977, kappa: 0.5948, kb_relative_information_score: 267.634, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7983, predictive_accuracy: 0.798, prior_entropy: 0.9991, recall: 0.798, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7977, kappa: 0.5948, kb_relative_information_score: 267.634, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7983, predictive_accuracy: 0.798, prior_entropy: 0.9991, recall: 0.798, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7999, kappa: 0.5993, kb_relative_information_score: 217.1022, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.854, kappa: 0.7076, kb_relative_information_score: 242.2373, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8455, kappa: 0.6907, kb_relative_information_score: 306.0177, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8317, kappa: 0.6629, kb_relative_information_score: 331.6842, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8317, kappa: 0.6629, kb_relative_information_score: 331.6842, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.854, kappa: 0.7076, kb_relative_information_score: 242.2373, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8538, kappa: 0.7072, kb_relative_information_score: 240.4784, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8545, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8475, kappa: 0.6946, kb_relative_information_score: 347.714, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.848, prior_entropy: 0.9991, recall: 0.848, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7641, kappa: 0.5281, kb_relative_information_score: 207.1487, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7648, predictive_accuracy: 0.764, prior_entropy: 0.9991, recall: 0.764, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.854, kappa: 0.7076, kb_relative_information_score: 242.2373, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8154, kappa: 0.6305, kb_relative_information_score: 315.6545, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9991, recall: 0.816, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8154, kappa: 0.6305, kb_relative_information_score: 315.6545, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9991, recall: 0.816, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8154, kappa: 0.6305, kb_relative_information_score: 315.6545, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9991, recall: 0.816, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8154, kappa: 0.6305, kb_relative_information_score: 315.6545, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9991, recall: 0.816, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.868, kappa: 0.7355, kb_relative_information_score: 308.295, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9991, recall: 0.868, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8098, kappa: 0.621, kb_relative_information_score: 242.4806, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8144, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.788, kappa: 0.5757, kb_relative_information_score: 287.6025, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7882, predictive_accuracy: 0.788, prior_entropy: 0.9991, recall: 0.788, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8516, kappa: 0.7028, kb_relative_information_score: 351.7214, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8535, predictive_accuracy: 0.852, prior_entropy: 0.9991, recall: 0.852, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8618, kappa: 0.7231, kb_relative_information_score: 361.74, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.9991, recall: 0.862, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8578, kappa: 0.7152, kb_relative_information_score: 357.7325, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8715, kappa: 0.7429, kb_relative_information_score: 371.7585, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8745, predictive_accuracy: 0.872, prior_entropy: 0.9991, recall: 0.872, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8257, kappa: 0.6509, kb_relative_information_score: 325.6731, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8266, predictive_accuracy: 0.826, prior_entropy: 0.9991, recall: 0.826, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8348, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.831, kappa: 0.6621, kb_relative_information_score: 280.2393, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7514, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8295, kappa: 0.6586, kb_relative_information_score: 272.1515, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8315, predictive_accuracy: 0.83, prior_entropy: 0.9991, recall: 0.83, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.874, kappa: 0.7477, kb_relative_information_score: 348.9, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5921, scimark_benchmark: 1834.908, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.874, kappa: 0.7477, kb_relative_information_score: 348.9, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5921, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.814, kappa: 0.6274, kb_relative_information_score: 277.3157, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9991, recall: 0.814, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7185, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7756, kappa: 0.5505, kb_relative_information_score: 219.1731, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7764, predictive_accuracy: 0.776, prior_entropy: 0.9991, recall: 0.776, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8409, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.81, kappa: 0.6203, kb_relative_information_score: 243.2866, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8115, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7506, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8139, kappa: 0.6272, kb_relative_information_score: 242.0637, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9991, recall: 0.814, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7379, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8098, kappa: 0.6189, kb_relative_information_score: 309.6434, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8103, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8723, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8494, kappa: 0.6986, kb_relative_information_score: 349.7177, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8525, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7751, scimark_benchmark: 1530.6231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 282.7794, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6774, scimark_benchmark: 1196.4145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.831, kappa: 0.6621, kb_relative_information_score: 280.2393, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.832, prior_entropy: 0.9991, recall: 0.832, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7514, scimark_benchmark: 1090.987, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8, kappa: 0.5997, kb_relative_information_score: 250.5456, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7319, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7167, kappa: 0.4444, kb_relative_information_score: 234.1136, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7379, predictive_accuracy: 0.72, prior_entropy: 0.9991, recall: 0.72, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8977, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7247, kappa: 0.4654, kb_relative_information_score: 234.1229, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7583, predictive_accuracy: 0.73, prior_entropy: 0.9991, recall: 0.73, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8568, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8039, kappa: 0.6088, kb_relative_information_score: 196.8112, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8075, predictive_accuracy: 0.804, prior_entropy: 0.9991, recall: 0.804, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.759, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7779, kappa: 0.5552, kb_relative_information_score: 242.2705, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7779, predictive_accuracy: 0.778, prior_entropy: 0.9991, recall: 0.778, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7859, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

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