DEVELOPMENT... OpenML
Run
166147

Run 166147

Task 3795 (Supervised Classification) fri_c4_100_50 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)_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
0.5621
Per class
F measure
0.5609
Per class
Kappa
0.1115
KB relative information score
10.99
Mean absolute error
0.4355
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
0.5622
Per class
Predictive accuracy
0.56
Prior entropy
0.99
Recall
0.56
Per class
Relative absolute error
0.8834
Root mean prior squared error
0.4964
Root mean squared error
0.6476
Root relative squared error
1.3045
SciMark benchmark
894.7455
UserCPU time millis
330
UserCPU time millis testing
100
UserCPU time millis training
230