DEVELOPMENT... OpenML
Run
166531

Run 166531

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)_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

Area under ROC curve
0.9804
Per class
F measure
0.9594
Per class
Kappa
0.9487
KB relative information score
346.4733
Mean absolute error
0.0134
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
0.9603
Per class
Predictive accuracy
0.959
Prior entropy
2.4378
Recall
0.959
Per class
Relative absolute error
0.0502
Root mean prior squared error
0.3649
Root mean squared error
0.1147
Root relative squared error
0.3144
SciMark benchmark
939.7623
UserCPU time millis
940
UserCPU time millis testing
300
UserCPU time millis training
640