DEVELOPMENT... OpenML
Run
165637

Run 165637

Task 18 (Supervised Classification) mfeat-morphological 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
0.8567
Per class
F measure
0.6798
Per class
Kappa
0.6594
KB relative information score
600.3167
Mean absolute error
0.1573
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
0.6917
Per class
Predictive accuracy
0.6935
Prior entropy
3.3219
Recall
0.6935
Per class
Relative absolute error
0.8741
Root mean prior squared error
0.3
Root mean squared error
0.2652
Root relative squared error
0.8841
SciMark benchmark
943.2817
UserCPU time millis
260
UserCPU time millis testing
70
UserCPU time millis training
190