DEVELOPMENT... OpenML
Run
165631

Run 165631

Task 11 (Supervised Classification) balance-scale 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
0.9914
Per class
F measure
0.9071
Per class
Kappa
0.8391
KB relative information score
511.1615
Mean absolute error
0.0767
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9057
Per class
Predictive accuracy
0.9088
Prior entropy
1.3212
Recall
0.9088
Per class
Relative absolute error
0.202
Root mean prior squared error
0.4356
Root mean squared error
0.1928
Root relative squared error
0.4426
SciMark benchmark
945.6434
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30