Run
167900

Run 167900

Task 3939 (Supervised Classification) lymphoma_9classes Uploaded 19-02-2015 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)_I40
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

0.7741
Per class
Cross-validation details (10-fold Crossvalidation)
0.7025
Per class
Cross-validation details (10-fold Crossvalidation)
0.6209
Cross-validation details (10-fold Crossvalidation)
55.2943
Cross-validation details (10-fold Crossvalidation)
0.0532
Cross-validation details (10-fold Crossvalidation)
0.1647
Cross-validation details (10-fold Crossvalidation)
96
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]
0.6877
Per class
Cross-validation details (10-fold Crossvalidation)
0.7604
Cross-validation details (10-fold Crossvalidation)
2.564
Cross-validation details (10-fold Crossvalidation)
0.7604
Per class
Cross-validation details (10-fold Crossvalidation)
0.3233
Cross-validation details (10-fold Crossvalidation)
0.2845
Cross-validation details (10-fold Crossvalidation)
0.2307
Cross-validation details (10-fold Crossvalidation)
0.8111
Cross-validation details (10-fold Crossvalidation)
938.2848
1790
Cross-validation details (10-fold Crossvalidation)
860
Cross-validation details (10-fold Crossvalidation)
930
Cross-validation details (10-fold Crossvalidation)