DEVELOPMENT... OpenML
Run
168363

Run 168363

Task 3524 (Supervised Classification) fbis.wc 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
0.8693
Per class
F measure
0.662
Per class
Kappa
0.6243
KB relative information score
1525.4313
Mean absolute error
0.0435
Mean prior absolute error
0.1047
Number of instances
2463
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6776
Per class
Predictive accuracy
0.6642
Prior entropy
3.5848
Recall
0.6642
Per class
Relative absolute error
0.4153
Root mean prior squared error
0.2288
Root mean squared error
0.1869
Root relative squared error
0.8167
SciMark benchmark
938.2848
UserCPU time millis
1579240
UserCPU time millis testing
541780
UserCPU time millis training
1037460