DEVELOPMENT... OpenML
Run
168886

Run 168886

Task 3854 (Supervised Classification) car Uploaded 20-02-2015 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)_I10
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
0.9867
Per class
F measure
0.9455
Per class
Kappa
0.8698
KB relative information score
1484.5287
Mean absolute error
0.0553
Mean prior absolute error
0.4199
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
0.9454
Per class
Predictive accuracy
0.9456
Prior entropy
0.8813
Recall
0.9456
Per class
Relative absolute error
0.1316
Root mean prior squared error
0.4582
Root mean squared error
0.2258
Root relative squared error
0.4929
SciMark benchmark
931.2336
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40