DEVELOPMENT... OpenML
Run
167225

Run 167225

Task 16 (Supervised Classification) mfeat-karhunen 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
0.9814
Per class
F measure
0.9476
Per class
Kappa
0.9417
KB relative information score
1892.426
Mean absolute error
0.0105
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
0.948
Per class
Predictive accuracy
0.9475
Prior entropy
3.3219
Recall
0.9475
Per class
Relative absolute error
0.0585
Root mean prior squared error
0.3
Root mean squared error
0.0999
Root relative squared error
0.3329
SciMark benchmark
945.6434
UserCPU time millis
30020
UserCPU time millis testing
10200
UserCPU time millis training
19820