Task
Supervised Classification on fri_c0_100_25

Supervised Classification on fri_c0_100_25

Task 3752 Supervised Classification fri_c0_100_25 579 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: 0.8044, f_measure: 0.7498, kappa: 0.5, kb_relative_information_score: 30.875, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.6497, kappa: 0.3, kb_relative_information_score: 25.3374, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6505, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 36.3397, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 54.5589, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7391, kappa: 0.48, kb_relative_information_score: 32.8256, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7435, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 37.8743, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7498, kappa: 0.5, kb_relative_information_score: 46.1473, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 55.5565, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 41.6316, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7796, kappa: 0.56, kb_relative_information_score: 53.5348, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 36.1658, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.6892, kappa: 0.38, kb_relative_information_score: 22.2459, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6919, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 36.1658, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7796, kappa: 0.56, kb_relative_information_score: 42.4542, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7698, kappa: 0.54, kb_relative_information_score: 33.283, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.771, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 14.304, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 42.8776, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 42.8776, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 40.4188, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 66, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 31.1062, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 36.0423, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7199, kappa: 0.44, kb_relative_information_score: 44.5245, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7204, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 22.4895, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.51, kappa: 0.02, kb_relative_information_score: 1.9294, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.51, predictive_accuracy: 0.51, prior_entropy: 1, recall: 0.51, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6153, root_relative_squared_error: 1.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 45.9366, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.359, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7698, kappa: 0.54, kb_relative_information_score: 54, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.771, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7698, kappa: 0.54, kb_relative_information_score: 54, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.771, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 36.0423, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 32.5411, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6162, kappa: 0.24, kb_relative_information_score: 11.9918, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.625, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 42, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6999, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, 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: 0.7, f_measure: 0.6999, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 58, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9165, 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: 0.77, f_measure: 0.7698, kappa: 0.54, kb_relative_information_score: 54, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.771, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 41.1545, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0217, scimark_benchmark: 1407.026, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7698, kappa: 0.54, kb_relative_information_score: 54, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.771, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 1578.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 58, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9165, scimark_benchmark: 1339.0754, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6999, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1653.0758, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6999, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1691.4192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 41.7666, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0621, scimark_benchmark: 1908.2191, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 40.694, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0522, scimark_benchmark: 1060.9535, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 24.5978, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.74, kappa: 0.48, kb_relative_information_score: 48, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6364, kappa: 0.28, kb_relative_information_score: 28, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6458, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 52, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.69, kappa: 0.38, kb_relative_information_score: 38, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6901, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1136, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7254, kappa: 0.46, kb_relative_information_score: 31.6046, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7467, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8925, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7172, kappa: 0.44, kb_relative_information_score: 33.2374, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9123, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 35.4652, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8202, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 36.3397, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8306, 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: 0.76, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 52, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798,

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