Task
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 3732 Supervised Classification fri_c4_100_25 562 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: 0.7697, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 33.7871, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7789, kappa: 0.5543, kb_relative_information_score: 47.6338, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.709, kappa: 0.4134, kb_relative_information_score: 30.6191, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.9956, recall: 0.71, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 24.6832, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7483, kappa: 0.4927, kb_relative_information_score: 34.8814, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.5947, kappa: 0.1843, kb_relative_information_score: 13.6936, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.5973, predictive_accuracy: 0.6, prior_entropy: 0.9956, recall: 0.6, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7789, kappa: 0.5543, kb_relative_information_score: 54.1897, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.62, kappa: 0.2351, kb_relative_information_score: 22.955, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9002, kappa: 0.8, kb_relative_information_score: 72.8798, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.9032, predictive_accuracy: 0.9, prior_entropy: 0.9956, recall: 0.9, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7698, kappa: 0.5363, kb_relative_information_score: 54.4494, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7697, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7483, kappa: 0.4927, kb_relative_information_score: 36.8575, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6129, kappa: 0.2226, kb_relative_information_score: 19.9005, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7483, kappa: 0.4927, kb_relative_information_score: 36.8575, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6297, kappa: 0.254, kb_relative_information_score: 26.2073, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6295, predictive_accuracy: 0.63, prior_entropy: 0.9956, recall: 0.63, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 38.391, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7461, kappa: 0.4894, kb_relative_information_score: 28.5529, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7548, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8501, kappa: 0.6986, kb_relative_information_score: 58.3307, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7203, kappa: 0.4382, kb_relative_information_score: 41.7773, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7213, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8501, kappa: 0.6986, kb_relative_information_score: 58.3307, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7579, kappa: 0.5122, kb_relative_information_score: 48.45, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 33.8909, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6502, kappa: 0.2966, kb_relative_information_score: 25.6347, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6506, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.689, kappa: 0.373, kb_relative_information_score: 37.4283, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6892, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.689, kappa: 0.373, kb_relative_information_score: 37.4283, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6892, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6985, kappa: 0.3922, kb_relative_information_score: 30.5909, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7291, kappa: 0.4539, kb_relative_information_score: 45.4998, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6905, kappa: 0.379, kb_relative_information_score: 33.0432, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6922, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7579, kappa: 0.5122, kb_relative_information_score: 48.45, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7698, kappa: 0.5363, kb_relative_information_score: 41.1534, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7697, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6804, kappa: 0.3579, kb_relative_information_score: 33.8909, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6813, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6897, kappa: 0.375, kb_relative_information_score: 18.748, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6896, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.6794, kappa: 0.3538, kb_relative_information_score: 24.2226, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6793, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7498, kappa: 0.496, kb_relative_information_score: 49.5355, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7497, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6306, kappa: 0.2733, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.664, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.6306, kappa: 0.2612, kb_relative_information_score: 25.3211, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6343, predictive_accuracy: 0.63, prior_entropy: 0.9956, recall: 0.63, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2205, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.68, kappa: 0.3559, kb_relative_information_score: 35.4104, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.135, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5607, kappa: 0.12, kb_relative_information_score: 12.6639, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.5632, predictive_accuracy: 0.56, prior_entropy: 0.9956, recall: 0.56, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6015, root_relative_squared_error: 1.207, scimark_benchmark: 1384.5729, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.68, kappa: 0.3559, kb_relative_information_score: 35.4104, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.135, scimark_benchmark: 1362.1012, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1381.2136, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6306, kappa: 0.2733, kb_relative_information_score: 29.3568, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.664, predictive_accuracy: 0.65, prior_entropy: 0.9956, recall: 0.65, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.187, scimark_benchmark: 1372.8581, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.6306, kappa: 0.2612, kb_relative_information_score: 25.3211, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6343, predictive_accuracy: 0.63, prior_entropy: 0.9956, recall: 0.63, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2205, scimark_benchmark: 1742.2222, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6005, kappa: 0.2026, kb_relative_information_score: 20.4411, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6053, predictive_accuracy: 0.6, prior_entropy: 0.9956, recall: 0.6, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6147, root_relative_squared_error: 1.2334, scimark_benchmark: 1908.2191, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6605, kappa: 0.32, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6632, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 1384.9465, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6205, kappa: 0.2376, kb_relative_information_score: 21.8351, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9956, recall: 0.62, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0724, scimark_benchmark: 1091.3199, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7789, kappa: 0.5543, kb_relative_information_score: 47.6338, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8587, scimark_benchmark: 935.7656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7702, kappa: 0.5422, kb_relative_information_score: 42.2557, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7779, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7701, 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: 0.8635, f_measure: 0.8196, kappa: 0.6434, kb_relative_information_score: 58.1671, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8359, predictive_accuracy: 0.82, prior_entropy: 0.9956, recall: 0.82, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7681, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6222, kappa: 0.2773, kb_relative_information_score: 26.11, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.663, predictive_accuracy: 0.63, prior_entropy: 0.9956, recall: 0.63, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0052, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.6905, kappa: 0.379, kb_relative_information_score: 20.4124, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6922, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9122, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8203, kappa: 0.64, kb_relative_information_score: 52.8978, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8232, predictive_accuracy: 0.82, prior_entropy: 0.9956, recall: 0.82, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7232, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.5947, kappa: 0.1843, kb_relative_information_score: 17.5469, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.5973, predictive_accuracy: 0.6, prior_entropy: 0.9956, recall: 0.6, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9659, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6605, kappa: 0.32, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6632, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7403, kappa: 0.4783, kb_relative_information_score: 47.5176, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7412, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8087, kappa: 0.6144, kb_relative_information_score: 61.6427, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8116, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6571, kappa: 0.3089, kb_relative_information_score: 31.3747, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.659, predictive_accuracy: 0.66, prior_entropy: 0.9956, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6804, kappa: 0.362, kb_relative_information_score: 35.4104, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6857, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.135, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6696, kappa: 0.341, kb_relative_information_score: 28.0802, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.688, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0096, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6903, kappa: 0.3822, kb_relative_information_score: 29.2838, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7103, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9652, scimark_benchmark: 1870.7932,

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