DEVELOPMENT... OpenML
Run
168918

Run 168918

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.945
Per class
F measure
0.8825
Per class
Kappa
0.6513
KB relative information score
254.0271
Mean absolute error
0.1115
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8834
Per class
Predictive accuracy
0.8875
Prior entropy
0.7716
Recall
0.8875
Per class
Relative absolute error
0.3191
Root mean prior squared error
0.4176
Root mean squared error
0.3224
Root relative squared error
0.7722
SciMark benchmark
927.0753
UserCPU time millis
10
UserCPU time millis training
10