DEVELOPMENT... OpenML
Run
167206

Run 167206

Task 14 (Supervised Classification) mfeat-fourier 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)_I40
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
0.9353
Per class
F measure
0.7876
Per class
Kappa
0.7656
KB relative information score
1380.3939
Mean absolute error
0.0802
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7898
Per class
Predictive accuracy
0.789
Prior entropy
3.3219
Recall
0.789
Per class
Relative absolute error
0.4454
Root mean prior squared error
0.3
Root mean squared error
0.186
Root relative squared error
0.6201
SciMark benchmark
945.6434
UserCPU time millis
11400
UserCPU time millis testing
3570
UserCPU time millis training
7830