OpenML
Supervised Classification on humandevel

Supervised Classification on humandevel

Task 3787 Supervised Classification humandevel 512 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 37.403, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 37.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.049, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8844, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8869, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 8.653, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 7.605,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.048, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8546, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7646, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.138, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 4.501, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 4.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 94, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442, usercpu_time_millis: 248.749, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 247.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7646, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 13.462, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 12.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8614, kappa: 0.7231, kb_relative_information_score: 94, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8629, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.018, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.016, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 104, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 23.063, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 21.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 92, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7646, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.869, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8714, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, usercpu_time_millis: 22.165, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 20.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 100, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6794, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016, usercpu_time_millis: 0.021, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 104, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8765, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8827, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8614, kappa: 0.7231, kb_relative_information_score: 94, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8629, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8919, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8983, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8995, kappa: 0.8, kb_relative_information_score: 104, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 102, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 96, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.87, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 91.2216, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 62.6503, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8619, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8843, kappa: 0.7692, kb_relative_information_score: 88.8096, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8891, predictive_accuracy: 0.8846, prior_entropy: 1, recall: 0.8846, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.0938, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8917, kappa: 0.7846, kb_relative_information_score: 92.2455, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.9018, predictive_accuracy: 0.8923, prior_entropy: 1, recall: 0.8923, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5835,

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