Run
68065

Run 68065

Task 277 (Supervised Classification) tae Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I160
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.5927
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.021
Cross-validation details (33% Holdout set)
Build memory
847734928
Cross-validation details (33% Holdout set)
F measure
0.4836
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2271
Cross-validation details (33% Holdout set)
KB relative information score
7.435
Cross-validation details (33% Holdout set)
Mean absolute error
0.4156
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4445
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5155
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4898
Cross-validation details (33% Holdout set)
Prior entropy
1.5845
Cross-validation details (33% Holdout set)
Recall
0.4898
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.935
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4715
Cross-validation details (33% Holdout set)
Root mean squared error
0.4901
Cross-validation details (33% Holdout set)
Root relative squared error
1.0395
Cross-validation details (33% Holdout set)
SciMark benchmark
905.0866