DEVELOPMENT... OpenML
Run
165986

Run 165986

Task 3634 (Supervised Classification) fri_c3_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)_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
0.5853
Per class
F measure
0.5411
Per class
Kappa
0.0782
KB relative information score
9.2972
Mean absolute error
0.4459
Mean prior absolute error
0.4951
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
0.5439
Per class
Predictive accuracy
0.54
Prior entropy
0.9931
Recall
0.54
Per class
Relative absolute error
0.9007
Root mean prior squared error
0.4975
Root mean squared error
0.6005
Root relative squared error
1.2071
SciMark benchmark
894.7455
UserCPU time millis
90
UserCPU time millis testing
20
UserCPU time millis training
70