Run
5761311

Run 5761311

Task 146543 (Supervised Classification) ML2017-challenge-1 Uploaded 13-07-2017 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_state9339
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
0.9924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2171.2101
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1839
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.967
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9668
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3685
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4798
Cross-validation details (10-fold Crossvalidation)