DEVELOPMENT... OpenML
Run
165639

Run 165639

Task 21 (Supervised Classification) car Uploaded 17-02-2015 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
0.9787
Per class
F measure
0.8985
Per class
Kappa
0.7783
KB relative information score
1313.2351
Mean absolute error
0.0604
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
0.8982
Per class
Predictive accuracy
0.8987
Prior entropy
1.2099
Recall
0.8987
Per class
Relative absolute error
0.2637
Root mean prior squared error
0.3381
Root mean squared error
0.1912
Root relative squared error
0.5654
SciMark benchmark
945.6434
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40