DEVELOPMENT... OpenML
Run
167985

Run 167985

Task 14 (Supervised Classification) mfeat-fourier 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
0.9438
Per class
F measure
0.7713
Per class
Kappa
0.7478
KB relative information score
1554.4578
Mean absolute error
0.0451
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
0.7726
Per class
Predictive accuracy
0.773
Prior entropy
3.3219
Recall
0.773
Per class
Relative absolute error
0.2506
Root mean prior squared error
0.3
Root mean squared error
0.2009
Root relative squared error
0.6698
SciMark benchmark
945.6434
UserCPU time millis
21330
UserCPU time millis testing
6650
UserCPU time millis training
14680