DEVELOPMENT... OpenML
Run
166627

Run 166627

Task 230 (Supervised Classification) SEA(50000) 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
0.861
Per class
F measure
0.8379
Per class
Kappa
0.6547
KB relative information score
534591.2018
Mean absolute error
0.2352
Mean prior absolute error
0.4739
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.84
Per class
Predictive accuracy
0.8403
Prior entropy
0.9619
Recall
0.8403
Per class
Relative absolute error
0.4964
Root mean prior squared error
0.4868
Root mean squared error
0.3616
Root relative squared error
0.7429
SciMark benchmark
911.3823
UserCPU time millis
35380
UserCPU time millis testing
6970
UserCPU time millis training
28410