DEVELOPMENT... OpenML
Run
166082

Run 166082

Task 3730 (Supervised Classification) fri_c2_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)_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
0.7844
Per class
F measure
0.7227
Per class
Kappa
0.4281
KB relative information score
347.838
Mean absolute error
0.3258
Mean prior absolute error
0.4866
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
0.7223
Per class
Predictive accuracy
0.724
Prior entropy
0.9806
Recall
0.724
Per class
Relative absolute error
0.6695
Root mean prior squared error
0.4932
Root mean squared error
0.4344
Root relative squared error
0.8806
SciMark benchmark
894.7455
UserCPU time millis
520
UserCPU time millis testing
140
UserCPU time millis training
380