Run
2088195

Run 2088195

Task 15 (Supervised Classification) breast-w Uploaded 28-04-2017 by Jeroen van Hoof
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Flow

sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,random forestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth12
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features0.3
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split19
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators512
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_state3
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse
sklearn.pipeline.Pipeline(dualimputer=extra.dual_imputer.DualImputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_steps[('dualimputer', ), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', max_depth=12, max_features=0.3, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=19, min_weight_fraction_leaf=0.0, n_estimators=512, n_jobs=-1, oob_score=False, random_state=3, verbose=0, warm_start=False))]

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
0.9917
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9435
Cross-validation details (10-fold Crossvalidation)
KB relative information score
595.8455
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0747
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9742
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9742
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1652
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1694
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3565
Cross-validation details (10-fold Crossvalidation)