DEVELOPMENT... OpenML
Run
166823

Run 166823

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.6993
Per class
F measure
0.7096
Per class
Kappa
0.4067
KB relative information score
33.4907
Mean absolute error
0.3281
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
0.7093
Per class
Predictive accuracy
0.71
Prior entropy
0.9864
Recall
0.71
Per class
Relative absolute error
0.669
Root mean prior squared error
0.4951
Root mean squared error
0.5209
Root relative squared error
1.0522
SciMark benchmark
923.7642
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50