DEVELOPMENT... OpenML
Run
167886

Run 167886

Task 3916 (Supervised Classification) kc1-binary 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)_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
0.7865
Per class
F measure
0.7001
Per class
Kappa
0.3781
KB relative information score
51.7901
Mean absolute error
0.3127
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7002
Per class
Predictive accuracy
0.7034
Prior entropy
0.979
Recall
0.7034
Per class
Relative absolute error
0.6442
Root mean prior squared error
0.4925
Root mean squared error
0.4463
Root relative squared error
0.9062
SciMark benchmark
938.2848
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50