Run
16037

Run 16037

Task 40 (Supervised Classification) glass Uploaded 04-06-2014 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(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
0.7811
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3179
Cross-validation details (10-fold Crossvalidation)
KB relative information score
91.3221
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1502
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.4831
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.71
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3106
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9572
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
950.4845[567.41723221127641015.2555353338006483.449727694041916.58736979803611769.7127006129608]