DEVELOPMENT... OpenML
Run
167202

Run 167202

Task 11 (Supervised Classification) balance-scale 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)_I40
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
0.9915
Per class
F measure
0.9062
Per class
Kappa
0.8387
KB relative information score
513.3219
Mean absolute error
0.0751
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9041
Per class
Predictive accuracy
0.9088
Prior entropy
1.3212
Recall
0.9088
Per class
Relative absolute error
0.1977
Root mean prior squared error
0.4356
Root mean squared error
0.1927
Root relative squared error
0.4424
SciMark benchmark
922.9039
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50