DEVELOPMENT... OpenML
Run
165636

Run 165636

Task 14 (Supervised Classification) mfeat-fourier 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
0.9391
Per class
F measure
0.7861
Per class
Kappa
0.7639
KB relative information score
1363.9367
Mean absolute error
0.0833
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
0.7881
Per class
Predictive accuracy
0.7875
Prior entropy
3.3219
Recall
0.7875
Per class
Relative absolute error
0.4628
Root mean prior squared error
0.3
Root mean squared error
0.185
Root relative squared error
0.6167
SciMark benchmark
943.2817
UserCPU time millis
11340
UserCPU time millis testing
3560
UserCPU time millis training
7780