DEVELOPMENT... OpenML
Run
167988

Run 167988

Task 21 (Supervised Classification) car Uploaded 19-02-2015 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)_I20
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
0.9816
Per class
F measure
0.8971
Per class
Kappa
0.7796
KB relative information score
1294.4347
Mean absolute error
0.0508
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9005
Per class
Predictive accuracy
0.8987
Prior entropy
1.2099
Recall
0.8987
Per class
Relative absolute error
0.2218
Root mean prior squared error
0.3381
Root mean squared error
0.209
Root relative squared error
0.618
SciMark benchmark
911.3823
UserCPU time millis
140
UserCPU time millis testing
40
UserCPU time millis training
100