DEVELOPMENT... OpenML
Run
168924

Run 168924

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9961
Per class
F measure
0.9789
Per class
Kappa
0.8309
KB relative information score
10592.8953
Mean absolute error
0.0194
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9828
Per class
Predictive accuracy
0.9774
Prior entropy
0.3338
Recall
0.9774
Per class
Relative absolute error
0.1681
Root mean prior squared error
0.2403
Root mean squared error
0.1299
Root relative squared error
0.5407
SciMark benchmark
931.2336
UserCPU time millis
58680
UserCPU time millis testing
19040
UserCPU time millis training
39640