OpenML
228432

Run 228432

Task 4269 (Supervised Classification) analcatdata_germangss Uploaded 01-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

Area under ROC curve
0.5657
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.3332
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1643
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
902.7732
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3295
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
4000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4106
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.3733
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.3733
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8786
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4411
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0187
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
918.6005
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)