Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 42 Supervised Classification haberman 973 runs submitted
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  • basic ComplexWorkflows mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6341, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6341, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6341, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 17.703, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6341, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 17.703, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 17.703, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6341, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.7077, kappa: 0.2219, kb_relative_information_score: 17.703, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7109, kappa: 0.217, kb_relative_information_score: 43.6301, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7072, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6577, kappa: 0.1011, kb_relative_information_score: -65.0872, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6505, predictive_accuracy: 0.6667, prior_entropy: 0.836, recall: 0.6667, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 6.0748, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5394, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 28.5298, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 3.9741, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.997, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7267, kappa: 0.2705, kb_relative_information_score: -11.4635, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.721, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9656, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6721, kappa: 0.1182, kb_relative_information_score: 14.2305, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6605, predictive_accuracy: 0.6961, prior_entropy: 0.836, recall: 0.6961, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0234, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7084, kappa: 0.2109, kb_relative_information_score: 12.9666, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9869, scimark_benchmark: 938.191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 3.9741, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.997, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7267, kappa: 0.2705, kb_relative_information_score: -11.4635, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.721, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9679, scimark_benchmark: 934.1885, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6721, kappa: 0.1182, kb_relative_information_score: 14.2305, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6605, predictive_accuracy: 0.6961, prior_entropy: 0.836, recall: 0.6961, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.0234, scimark_benchmark: 922.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7264, kappa: 0.2547, kb_relative_information_score: 99.4706, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7364, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.1071, scimark_benchmark: 928.8135, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7264, kappa: 0.2547, kb_relative_information_score: 99.4706, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7364, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.1071, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6987, kappa: 0.1854, kb_relative_information_score: 15.562, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6917, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9799, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7084, kappa: 0.2109, kb_relative_information_score: 12.9666, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9869, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7084, kappa: 0.2109, kb_relative_information_score: 12.9666, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9869, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 19.3825, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.435, root_relative_squared_error: 0.986, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7086, kappa: 0.2049, kb_relative_information_score: 26.7413, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7205, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9653, scimark_benchmark: 890.5596, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.7084, kappa: 0.2109, kb_relative_information_score: 12.9666, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7036, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9869, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6964, kappa: 0.1779, kb_relative_information_score: 22.644, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6898, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9803, scimark_benchmark: 935.627, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6719, kappa: 0.1344, kb_relative_information_score: 10.7312, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.664, predictive_accuracy: 0.683, prior_entropy: 0.836, recall: 0.683, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0649, scimark_benchmark: 942.3809, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 3.9741, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.997, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.6442, kappa: 0.0658, kb_relative_information_score: 6.4777, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6366, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5886, root_relative_squared_error: 1.3341, scimark_benchmark: 935.627, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7264, kappa: 0.2547, kb_relative_information_score: 99.4706, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7364, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.1071, scimark_benchmark: 1322.0065, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7086, kappa: 0.2049, kb_relative_information_score: 26.7413, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7205, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9653, scimark_benchmark: 1354.5533, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6987, kappa: 0.1854, kb_relative_information_score: 15.562, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6917, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9799, scimark_benchmark: 1295.609,

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