DEVELOPMENT... OpenML
Run
166800

Run 166800

Task 3618 (Supervised Classification) puma32H 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)_I80
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
0.6437
Per class
F measure
0.6458
Per class
Kappa
0.2915
KB relative information score
1000.9261
Mean absolute error
0.4506
Mean prior absolute error
0.5
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6459
Per class
Predictive accuracy
0.6459
Prior entropy
1
Recall
0.6459
Per class
Relative absolute error
0.9013
Root mean prior squared error
0.5
Root mean squared error
0.48
Root relative squared error
0.9599
SciMark benchmark
923.7642
UserCPU time millis
3230
UserCPU time millis testing
830
UserCPU time millis training
2400