DEVELOPMENT... OpenML
Run
168002

Run 168002

Task 35 (Supervised Classification) dermatology Uploaded 19-02-2015 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)_I20
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
0.9914
Per class
F measure
0.9674
Per class
Kappa
0.9589
KB relative information score
350.8462
Mean absolute error
0.0105
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
0.9677
Per class
Predictive accuracy
0.9672
Prior entropy
2.4378
Recall
0.9672
Per class
Relative absolute error
0.0394
Root mean prior squared error
0.3649
Root mean squared error
0.1002
Root relative squared error
0.2745
SciMark benchmark
942.6953
UserCPU time millis
260
UserCPU time millis testing
80
UserCPU time millis training
180