Run
23289

Run 23289

Task 10 (Supervised Classification) lymph Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_NaiveBayes(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(1)_I20
weka.Bagging_NaiveBayes(1)_P100
weka.Bagging_NaiveBayes(1)_S1
weka.Bagging_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(1)_num-slots1

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.

19 Evaluation measures

Area under ROC curve
0.9134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8231
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6614
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.1341
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1042
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8287
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8243
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8243
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3893
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2613
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7179
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.7575[538.67840803202321014.7208839634673488.5085743230882909.59057174132591762.2889234168845]