DEVELOPMENT... OpenML
Run
168350

Run 168350

Task 3795 (Supervised Classification) fri_c4_100_50 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
0.5315
Per class
F measure
0.52
Per class
Kappa
0.026
KB relative information score
2.5884
Mean absolute error
0.4763
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.52
Per class
Predictive accuracy
0.52
Prior entropy
0.99
Recall
0.52
Per class
Relative absolute error
0.9663
Root mean prior squared error
0.4964
Root mean squared error
0.6707
Root relative squared error
1.3512
SciMark benchmark
945.6434
UserCPU time millis
130
UserCPU time millis testing
40
UserCPU time millis training
90