Run
2040452

Run 2040452

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 11-04-2017 by Arlind Kadra
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Flow

weka.NaiveBayesMultinomialText(1)Weka implementation of NaiveBayesMultinomialText
weka.NaiveBayesMultinomialText(1)_P0
weka.NaiveBayesMultinomialText(1)_M3.0
weka.NaiveBayesMultinomialText(1)_norm1.0
weka.NaiveBayesMultinomialText(1)_lnorm2.0
weka.NaiveBayesMultinomialText(1)_tokenizerweka.core.tokenizers.WordTokenizer -delimiters " \r\n\t.,;:\'\"()?!"
weka.NaiveBayesMultinomialText(1)_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
0.4991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7908
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1.0071
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2463
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7343
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8569
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8569
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)