OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21239 runs submitted
0 likes downloaded by 3 people , 12 total downloads 0 issues
Visibility: Public
  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

21239 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8596, kappa: 0.7162, kb_relative_information_score: 0.7139, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 0.7139, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 0.7345, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8584, kappa: 0.7163, kb_relative_information_score: 0.5197, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.858, prior_entropy: 0.9912, recall: 0.858, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8694, kappa: 0.7354, kb_relative_information_score: 0.659, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 0.6689, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8566, kappa: 0.7098, kb_relative_information_score: 0.6244, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8567, predictive_accuracy: 0.8565, prior_entropy: 0.9912, recall: 0.8565, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 0.5009, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9912, recall: 0.8565, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8611, kappa: 0.7194, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8421, kappa: 0.6794, kb_relative_information_score: 0.6814, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8455, predictive_accuracy: 0.8435, prior_entropy: 0.9912, recall: 0.8435, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8435, kappa: 0.6822, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8472, predictive_accuracy: 0.8449, prior_entropy: 0.9912, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8769, kappa: 0.751, kb_relative_information_score: 0.7239, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8771, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8754, kappa: 0.7478, kb_relative_information_score: 0.6147, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8755, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 0.7119, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 0.5834, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8537, kappa: 0.7041, kb_relative_information_score: 0.5483, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8539, predictive_accuracy: 0.8536, prior_entropy: 0.9912, recall: 0.8536, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8756, kappa: 0.7486, kb_relative_information_score: 0.6512, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8763, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8353, kappa: 0.6657, kb_relative_information_score: 0.2969, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8367, predictive_accuracy: 0.8362, prior_entropy: 0.9912, recall: 0.8362, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8536, kappa: 0.7027, kb_relative_information_score: 0.207, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.8551, prior_entropy: 0.9912, recall: 0.8551, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8741, kappa: 0.7458, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.875, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8669, kappa: 0.7313, kb_relative_information_score: 0.6095, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8679, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8619, kappa: 0.7199, kb_relative_information_score: 0.3877, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 0.7291, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8585, kappa: 0.7127, kb_relative_information_score: 0.2044, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8595, kappa: 0.7157, kb_relative_information_score: 0.5754, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8596, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8492, kappa: 0.6945, kb_relative_information_score: 0.5728, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8491, predictive_accuracy: 0.8493, prior_entropy: 0.9912, recall: 0.8493, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8645, kappa: 0.7249, kb_relative_information_score: 0.2446, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8727, kappa: 0.7431, kb_relative_information_score: 0.633, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8739, predictive_accuracy: 0.8725, prior_entropy: 0.9912, recall: 0.8725, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.7056, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7442, kappa: 0.4884, kb_relative_information_score: 0.4809, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7519, predictive_accuracy: 0.7435, prior_entropy: 0.9912, recall: 0.7435, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 0.6793, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8698, kappa: 0.7371, kb_relative_information_score: 0.6252, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8708, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 0.6252, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8638, kappa: 0.7242, kb_relative_information_score: 0.7113, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 0.6702, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8697, kappa: 0.7368, kb_relative_information_score: 0.6135, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 0.5091, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.6006, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 0.6421, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8768, kappa: 0.7507, kb_relative_information_score: 0.7239, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8769, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8711, kappa: 0.7393, kb_relative_information_score: 0.6483, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8713, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.867, kappa: 0.7316, kb_relative_information_score: 0.6002, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 0.6289, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 0.6201, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 0.7027, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 0.6654, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.7293, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 0.5827, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8627, kappa: 0.7235, kb_relative_information_score: 0.5713, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.877, kappa: 0.7516, kb_relative_information_score: 0.6313, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8779, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 0.5263, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 0.6133, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.645, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8237, kappa: 0.6466, kb_relative_information_score: 0.6368, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8298, predictive_accuracy: 0.8232, prior_entropy: 0.9912, recall: 0.8232, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 0.6199, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8727, kappa: 0.7431, kb_relative_information_score: 0.5642, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8739, predictive_accuracy: 0.8725, prior_entropy: 0.9912, recall: 0.8725, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8709, kappa: 0.7386, kb_relative_information_score: 0.6035, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8713, kappa: 0.7401, kb_relative_information_score: 0.6192, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.6098, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 0.7091, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 0.7264, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.867, kappa: 0.7316, kb_relative_information_score: 0.6028, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 0.4441, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 0.5969, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 0.7327, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9912, recall: 0.871, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8519, kappa: 0.6997, kb_relative_information_score: 0.2999, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9912, recall: 0.8522, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8753, kappa: 0.7475, kb_relative_information_score: 0.7278, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8753, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8739, kappa: 0.7446, kb_relative_information_score: 0.7263, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.322, root_relative_squared_error: 0.648,

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