DEVELOPMENT... OpenML
Run
168270

Run 168270

Task 3645 (Supervised Classification) fri_c1_500_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
0.7027
Per class
F measure
0.6386
Per class
Kappa
0.2731
KB relative information score
112.7898
Mean absolute error
0.3934
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6389
Per class
Predictive accuracy
0.64
Prior entropy
0.9967
Recall
0.64
Per class
Relative absolute error
0.7905
Root mean prior squared error
0.4988
Root mean squared error
0.4808
Root relative squared error
0.9639
SciMark benchmark
945.6434
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50