DEVELOPMENT... OpenML
Run
165940

Run 165940

Task 3587 (Supervised Classification) pwLinear 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)_I160
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
0.7347
Per class
F measure
0.6848
Per class
Kappa
0.3689
KB relative information score
60.2553
Mean absolute error
0.3589
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6849
Per class
Predictive accuracy
0.685
Prior entropy
0.9994
Recall
0.685
Per class
Relative absolute error
0.7185
Root mean prior squared error
0.4998
Root mean squared error
0.4752
Root relative squared error
0.9509
SciMark benchmark
894.7455
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20