DEVELOPMENT... OpenML
Run
166844

Run 166844

Task 3662 (Supervised Classification) fri_c4_1000_50 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)_I80
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
0.7092
Per class
F measure
0.6652
Per class
Kappa
0.3182
KB relative information score
216.2831
Mean absolute error
0.396
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6665
Per class
Predictive accuracy
0.669
Prior entropy
0.9896
Recall
0.669
Per class
Relative absolute error
0.8035
Root mean prior squared error
0.4964
Root mean squared error
0.4702
Root relative squared error
0.9473
SciMark benchmark
923.7642
UserCPU time millis
450
UserCPU time millis testing
120
UserCPU time millis training
330