DEVELOPMENT... OpenML
Run
166284

Run 166284

Task 3905 (Supervised Classification) mc2 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)_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
0.6981
Per class
F measure
0.6947
Per class
Kappa
0.2897
KB relative information score
33.7918
Mean absolute error
0.3387
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6912
Per class
Predictive accuracy
0.7019
Prior entropy
0.9099
Recall
0.7019
Per class
Relative absolute error
0.7732
Root mean prior squared error
0.4676
Root mean squared error
0.4579
Root relative squared error
0.9793
SciMark benchmark
938.2848
UserCPU time millis
100
UserCPU time millis testing
20
UserCPU time millis training
80