DEVELOPMENT... OpenML
Run
165810

Run 165810

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 17-02-2015 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
0.5979
Per class
F measure
0.5326
Per class
Kappa
0.1393
KB relative information score
-14.5474
Mean absolute error
0.3178
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6039
Per class
Predictive accuracy
0.5
Prior entropy
1.3842
Recall
0.5
Per class
Relative absolute error
1.2616
Root mean prior squared error
0.3504
Root mean squared error
0.4512
Root relative squared error
1.2876
SciMark benchmark
939.7623
UserCPU time millis
20
UserCPU time millis training
20