DEVELOPMENT... OpenML
Run
167996

Run 167996

Task 29 (Supervised Classification) credit-approval 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
0.8541
Per class
F measure
0.8036
Per class
Kappa
0.6016
KB relative information score
400.5938
Mean absolute error
0.2102
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8142
Per class
Predictive accuracy
0.8072
Prior entropy
0.9913
Recall
0.8072
Per class
Relative absolute error
0.4256
Root mean prior squared error
0.497
Root mean squared error
0.4056
Root relative squared error
0.8162
SciMark benchmark
945.6434
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30