Run
2234568

Run 2234568

Task 37 (Supervised Classification) diabetes Uploaded 18-05-2017 by Rudolf Kadlec
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Flow

weka.NaiveBayesMultinomialText(2)Weka implementation of NaiveBayesMultinomialText
weka.NaiveBayesMultinomialText(2)_P0
weka.NaiveBayesMultinomialText(2)_M3.0
weka.NaiveBayesMultinomialText(2)_norm1.0
weka.NaiveBayesMultinomialText(2)_lnorm2.0
weka.NaiveBayesMultinomialText(2)_tokenizerweka.core.tokenizers.WordTokenizer -delimiters " \r\n\t.,;:\'\"()?!"
weka.NaiveBayesMultinomialText(2)_stemmerweka.core.stemmers.NullStemmer

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5134
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1051
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.651
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.651
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)