DEVELOPMENT... OpenML
Run
166077

Run 166077

Task 3725 (Supervised Classification) auto93 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
0.9158
Per class
F measure
0.9039
Per class
Kappa
0.7973
KB relative information score
71.8747
Mean absolute error
0.1047
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9066
Per class
Predictive accuracy
0.9032
Prior entropy
0.9573
Recall
0.9032
Per class
Relative absolute error
0.2227
Root mean prior squared error
0.4845
Root mean squared error
0.3137
Root relative squared error
0.6475
SciMark benchmark
894.7455
UserCPU time millis
390
UserCPU time millis testing
120
UserCPU time millis training
270