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: 0.5681, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 88.1987, mean_absolute_error: 0.2516, 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: 0.6452, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.137, usercpu_time_millis: 0.387, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.6199, kappa: -0.0129, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, 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: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, usercpu_time_millis: 0.76, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, 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: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, usercpu_time_millis: 10.559, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 8.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7022, kappa: 0.1874, kb_relative_information_score: 27.2919, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7286, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.967, scimark_benchmark: 1254.4488, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7016, kappa: 0.2114, kb_relative_information_score: 20.5197, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6947, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0774, scimark_benchmark: 477.2829, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6947, kappa: 0.1839, kb_relative_information_score: 9.4755, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.686, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9972, scimark_benchmark: 1198.6547, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7113, kappa: 0.2127, kb_relative_information_score: 42.5462, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7207, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9664, scimark_benchmark: 1231.5061, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.6694, kappa: 0.1291, kb_relative_information_score: 21.9596, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6618, predictive_accuracy: 0.6797, prior_entropy: 0.836, recall: 0.6797, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.561, root_relative_squared_error: 1.2716, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6337, 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, scimark_benchmark: 1254.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7138, kappa: 0.2192, kb_relative_information_score: 42.2841, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7261, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9884, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 13.8806, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9723, scimark_benchmark: 479.2609,
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: 0.5983, 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: 0.6441, 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: 0.6441, 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: 0.658, 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: 0.658, 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: 0.658, 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: 0.6537, f_measure: 0.7188, kappa: 0.2325, kb_relative_information_score: 42.3481, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7378, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873, scimark_benchmark: 1230.3004,
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: 0.6641, 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: 0.6441, 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: 0.5983, 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: 0.6537, f_measure: 0.7188, kappa: 0.2325, kb_relative_information_score: 42.3481, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7378, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873, scimark_benchmark: 1230.3004,
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: 0.6512, 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: 1230.3004,
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: 0.5983, 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,
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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: 0.5983, 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: 0.5983, 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: 0.5983, 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: 0.6641, 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: 0.5983, 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,

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