DEVELOPMENT... OpenML
Run
167224

Run 167224

Task 35 (Supervised Classification) dermatology Uploaded 18-02-2015 by Felicia West
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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

Area under ROC curve
0.9867
Per class
F measure
0.9674
Per class
Kappa
0.9589
KB relative information score
350.043
Mean absolute error
0.0109
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9678
Per class
Predictive accuracy
0.9672
Prior entropy
2.4378
Recall
0.9672
Per class
Relative absolute error
0.041
Root mean prior squared error
0.3649
Root mean squared error
0.1045
Root relative squared error
0.2864
SciMark benchmark
922.9039
UserCPU time millis
450
UserCPU time millis testing
150
UserCPU time millis training
300