DEVELOPMENT... OpenML
Run
165642

Run 165642

Task 22 (Supervised Classification) mfeat-zernike Uploaded 17-02-2015 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)_I160
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
0.9075
Per class
F measure
0.733
Per class
Kappa
0.7044
KB relative information score
893.1432
Mean absolute error
0.137
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.734
Prior entropy
3.3219
Recall
0.734
Per class
Relative absolute error
0.761
Root mean prior squared error
0.3
Root mean squared error
0.2369
Root relative squared error
0.7895
SciMark benchmark
945.6434
UserCPU time millis
3230
UserCPU time millis testing
970
UserCPU time millis training
2260