Run
6059957

Run 6059957

Task 9950 (Supervised Classification) micro-mass Uploaded 02-08-2017 by Pieter Gijsbers
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Flow

sklearn.pipeline.Pipeline(Median-Imputer=sklearn.preprocessing.imputation.I mputer,learner=sklearn.naive_bayes.GaussianNB)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(5)_axis0
sklearn.preprocessing.imputation.Imputer(5)_copytrue
sklearn.preprocessing.imputation.Imputer(5)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(5)_strategy"median"
sklearn.preprocessing.imputation.Imputer(5)_verbose0
sklearn.naive_bayes.GaussianNB(4)_priorsnull

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
0.9124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8325
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8263
Cross-validation details (10-fold Crossvalidation)
KB relative information score
469.6109
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0163
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8371
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.8371
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1731
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5884
Cross-validation details (10-fold Crossvalidation)