DEVELOPMENT... OpenML
Run
166282

Run 166282

Task 3895 (Supervised Classification) gina_prior 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)_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
0.9091
Per class
F measure
0.8322
Per class
Kappa
0.6644
KB relative information score
2058.1568
Mean absolute error
0.2122
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8325
Per class
Predictive accuracy
0.8322
Prior entropy
0.9998
Recall
0.8322
Per class
Relative absolute error
0.4246
Root mean prior squared error
0.4999
Root mean squared error
0.3477
Root relative squared error
0.6954
SciMark benchmark
934.5243
UserCPU time millis
38830
UserCPU time millis testing
11090
UserCPU time millis training
27740