DEVELOPMENT... OpenML
Run
166708

Run 166708

Task 3518 (Supervised Classification) tr45.wc 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
0.8624
Per class
F measure
0.6626
Per class
Kappa
0.6117
KB relative information score
364.4813
Mean absolute error
0.1101
Mean prior absolute error
0.172
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7434
Per class
Predictive accuracy
0.6609
Prior entropy
3.0415
Recall
0.6609
Per class
Relative absolute error
0.6399
Root mean prior squared error
0.2932
Root mean squared error
0.2261
Root relative squared error
0.771
SciMark benchmark
911.0478
UserCPU time millis
344960
UserCPU time millis testing
102670
UserCPU time millis training
242290