DEVELOPMENT... OpenML
Run
166870

Run 166870

Task 3688 (Supervised Classification) houses 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)_I80
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
0.9842
Per class
F measure
0.9551
Per class
Kappa
0.9085
KB relative information score
18276.5006
Mean absolute error
0.0595
Mean prior absolute error
0.4907
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9551
Per class
Predictive accuracy
0.9551
Prior entropy
0.9866
Recall
0.9551
Per class
Relative absolute error
0.1212
Root mean prior squared error
0.4953
Root mean squared error
0.1953
Root relative squared error
0.3943
SciMark benchmark
923.7642
UserCPU time millis
4800
UserCPU time millis testing
1190
UserCPU time millis training
3610