Run
6005422

Run 6005422

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 17-07-2017 by Berkel
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Flow

sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors .classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_bootstraptrue
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_bootstrap_featuresfalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_max_features0.9
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_max_samples0.5
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_n_estimators10
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_n_jobs1
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_oob_scorefalse
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_random_state354
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_verbose0
sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1)_warm_startfalse
sklearn.neighbors.classification.KNeighborsClassifier(10)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(10)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(10)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(10)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(10)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(10)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(10)_p2
sklearn.neighbors.classification.KNeighborsClassifier(10)_weights"uniform"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6089
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0823
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4926.7743
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.264
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8312
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8312
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9425
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.375
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0021
Cross-validation details (10-fold Crossvalidation)