Run
68120

Run 68120

Task 27 (Supervised Classification) colic Uploaded 30-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8395
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.112
Cross-validation details (10-fold Crossvalidation)
Build memory
367364260.5435
Cross-validation details (10-fold Crossvalidation)
F measure
0.7953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.566
Cross-validation details (10-fold Crossvalidation)
KB relative information score
189.4778
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2228
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7995
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7935
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.7935
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4779
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4095
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8483
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.6798