DEVELOPMENT... OpenML
Run
167099

Run 167099

Task 3915 (Supervised Classification) kc3 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
0.7221
Per class
F measure
0.8527
Per class
Kappa
0.2275
KB relative information score
-529.4096
Mean absolute error
0.2352
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8707
Per class
Predictive accuracy
0.8384
Prior entropy
0.4551
Recall
0.8384
Per class
Relative absolute error
1.371
Root mean prior squared error
0.2917
Root mean squared error
0.3688
Root relative squared error
1.2643
SciMark benchmark
942.3168
UserCPU time millis
210
UserCPU time millis testing
60
UserCPU time millis training
150