DEVELOPMENT... OpenML
Run
168468

Run 168468

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)_I10
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
0.9372
Per class
F measure
0.7639
Per class
Kappa
0.7378
KB relative information score
1526.8622
Mean absolute error
0.0473
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
0.768
Per class
Predictive accuracy
0.764
Prior entropy
3.3219
Recall
0.764
Per class
Relative absolute error
0.2628
Root mean prior squared error
0.3
Root mean squared error
0.2063
Root relative squared error
0.6875
SciMark benchmark
945.6434
UserCPU time millis
8610
UserCPU time millis testing
3080
UserCPU time millis training
5530