DEVELOPMENT... OpenML
Run
167219

Run 167219

Task 20 (Supervised Classification) mfeat-pixel 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
0.9767
Per class
F measure
0.9422
Per class
Kappa
0.9361
KB relative information score
1880.7409
Mean absolute error
0.0115
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
0.9434
Per class
Predictive accuracy
0.9425
Prior entropy
3.3219
Recall
0.9425
Per class
Relative absolute error
0.0638
Root mean prior squared error
0.3
Root mean squared error
0.106
Root relative squared error
0.3533
SciMark benchmark
922.9039
UserCPU time millis
25660
UserCPU time millis testing
9020
UserCPU time millis training
16640