DEVELOPMENT... OpenML
Run
168266

Run 168266

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.7662
Per class
F measure
0.72
Per class
Kappa
0.4288
KB relative information score
42.1916
Mean absolute error
0.2811
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.72
Per class
Predictive accuracy
0.72
Prior entropy
0.9864
Recall
0.72
Per class
Relative absolute error
0.5732
Root mean prior squared error
0.4951
Root mean squared error
0.5116
Root relative squared error
1.0333
SciMark benchmark
945.6434
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40