DEVELOPMENT... OpenML
Run
168696

Run 168696

Task 3665 (Supervised Classification) pyrim 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
0.8728
Per class
F measure
0.8641
Per class
Kappa
0.7199
KB relative information score
52.5831
Mean absolute error
0.1395
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8647
Per class
Predictive accuracy
0.8649
Prior entropy
0.9819
Recall
0.8649
Per class
Relative absolute error
0.2862
Root mean prior squared error
0.4934
Root mean squared error
0.3637
Root relative squared error
0.7371
SciMark benchmark
931.2336
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30