DEVELOPMENT... OpenML
Run
168813

Run 168813

Task 3781 (Supervised Classification) fri_c4_250_50 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
0.6242
Per class
F measure
0.6157
Per class
Kappa
0.2261
KB relative information score
56.1327
Mean absolute error
0.3848
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6155
Per class
Predictive accuracy
0.616
Prior entropy
0.9955
Recall
0.616
Per class
Relative absolute error
0.7745
Root mean prior squared error
0.4984
Root mean squared error
0.5864
Root relative squared error
1.1766
SciMark benchmark
931.2336
UserCPU time millis
150
UserCPU time millis testing
50
UserCPU time millis training
100