DEVELOPMENT... OpenML
Run
168290

Run 168290

Task 3665 (Supervised Classification) pyrim Uploaded 19-02-2015 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)_I20
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
0.8901
Per class
F measure
0.851
Per class
Kappa
0.6933
KB relative information score
52.2629
Mean absolute error
0.1403
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
0.8509
Per class
Predictive accuracy
0.8514
Prior entropy
0.9819
Recall
0.8514
Per class
Relative absolute error
0.2879
Root mean prior squared error
0.4934
Root mean squared error
0.3642
Root relative squared error
0.7382
SciMark benchmark
945.6434
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40