Run
1852689

Run 1852689

Task 9893 (Supervised Classification) hill-valley Uploaded 15-03-2017 by Randal Olson
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  • NumPy_1.12.0. Python_3.5.3. run_task SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1. Wed_Mar_15_17.11.04_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,extratreesclass ifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.ExtraTreesClassifier(5)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_class_weightNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_criteriongini
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_depthNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_featuresauto
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_impurity_split1e-07
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_estimators500
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_warm_startFalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_steps[('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)), ('extratreesclassifier', ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='gini', max_depth=None, max_features='auto', max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=1, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=500, n_jobs=1, oob_score=False, random_state=None, verbose=0, warm_start=False))]
sklearn.decomposition.pca.PCA(1)_copyTrue
sklearn.decomposition.pca.PCA(1)_iterated_powerauto
sklearn.decomposition.pca.PCA(1)_n_componentsNone
sklearn.decomposition.pca.PCA(1)_random_stateNone
sklearn.decomposition.pca.PCA(1)_svd_solverauto
sklearn.decomposition.pca.PCA(1)_tol0.0
sklearn.decomposition.pca.PCA(1)_whitenFalse

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
0.9958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9645
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.929
Cross-validation details (10-fold Crossvalidation)
KB relative information score
578.543
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2944
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9645
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9645
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9999
Cross-validation details (10-fold Crossvalidation)
Recall
0.9645
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5889
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.316
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6321
Cross-validation details (10-fold Crossvalidation)