Run
1846079

Run 1846079

Task 2071 (Supervised Classification) adult Uploaded 18-12-2016 by Jeroen van Hoof
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  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. Sklearn_0.18.1. Sun_Dec_18_05.27.29_2016 __main__.Flow
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Flow

__main__.Flow(1)Flow generated by run_task
__main__.Flow(1)_preprocessorPipeline(steps=[('imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='median', verbose=0)), ('onehotencoder', OneHotEncoder(categorical_features=[True, True, False, True, False, True, True, True, True, True, True, True, True, True], dtype=, handle_unknown='ignore', n_values='auto', sparse=False)), ('variancethreshold', VarianceThreshold(threshold=0.0))])
__main__.Flow(1)_pipelinePipeline(steps=[('featureunion-1', FeatureUnion(n_jobs=1, transformer_list=[('votingclassifier', VotingClassifier(estimators=[('est', LogisticRegression(C=0.98, class_weight=None, dual=True, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1, penalty...rmer_weights=None)), ('multinomialnb', MultinomialNB(alpha=0.79, class_prior=None, fit_prior=True))])

Result files

xml
Description

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

csv
Predictions

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

17 Evaluation measures

Area under ROC curve
0.8991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8165
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5386
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18510.4761
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.806
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.806
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5504
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3764
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8822
Cross-validation details (10-fold Crossvalidation)