DEVELOPMENT... OpenML
Run
166017

Run 166017

Task 3665 (Supervised Classification) pyrim 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
0.9122
Per class
F measure
0.8649
Per class
Kappa
0.7224
KB relative information score
53.5944
Mean absolute error
0.1322
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8649
Per class
Predictive accuracy
0.8649
Prior entropy
0.9819
Recall
0.8649
Per class
Relative absolute error
0.2713
Root mean prior squared error
0.4934
Root mean squared error
0.3578
Root relative squared error
0.7252
SciMark benchmark
894.7455
UserCPU time millis
610
UserCPU time millis testing
220
UserCPU time millis training
390