DEVELOPMENT... OpenML
Run
167195

Run 167195

Task 4 (Supervised Classification) labor 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)_I40
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
0.9736
Per class
F measure
0.9477
Per class
Kappa
0.8858
KB relative information score
49.7781
Mean absolute error
0.0545
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9486
Per class
Predictive accuracy
0.9474
Prior entropy
0.9393
Recall
0.9474
Per class
Relative absolute error
0.1193
Root mean prior squared error
0.4773
Root mean squared error
0.2273
Root relative squared error
0.4764
SciMark benchmark
945.6434
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20