Run
166868

Run 166868

Task 3686 (Supervised Classification) house_16H Uploaded 18-02-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I80
weka.MultiBoostAB_NaiveBayes(2)_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

0.8684
Per class
Cross-validation details (10-fold Crossvalidation)
0.8062
Per class
Cross-validation details (10-fold Crossvalidation)
0.5188
Cross-validation details (10-fold Crossvalidation)
10091.6326
Cross-validation details (10-fold Crossvalidation)
0.2288
Cross-validation details (10-fold Crossvalidation)
0.4168
Cross-validation details (10-fold Crossvalidation)
22784
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8124
Per class
Cross-validation details (10-fold Crossvalidation)
0.8172
Cross-validation details (10-fold Crossvalidation)
0.8764
Cross-validation details (10-fold Crossvalidation)
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
0.549
Cross-validation details (10-fold Crossvalidation)
0.4565
Cross-validation details (10-fold Crossvalidation)
0.3591
Cross-validation details (10-fold Crossvalidation)
0.7867
Cross-validation details (10-fold Crossvalidation)
923.7642
9120
Cross-validation details (10-fold Crossvalidation)
2320
Cross-validation details (10-fold Crossvalidation)
6800
Cross-validation details (10-fold Crossvalidation)