DEVELOPMENT... OpenML
Run
166302

Run 166302

Task 3922 (Supervised Classification) desharnais 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
0.6778
Per class
F measure
0.5729
Per class
Kappa
0.2391
KB relative information score
16.4388
Mean absolute error
0.3177
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5606
Per class
Predictive accuracy
0.5926
Prior entropy
1.3765
Recall
0.5926
Per class
Relative absolute error
0.8352
Root mean prior squared error
0.4348
Root mean squared error
0.4428
Root relative squared error
1.0184
SciMark benchmark
938.2848
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10