DEVELOPMENT... OpenML
Run
166006

Run 166006

Task 3654 (Supervised Classification) fri_c1_100_10 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
0.7084
Per class
F measure
0.6777
Per class
Kappa
0.353
KB relative information score
28.6131
Mean absolute error
0.3631
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6803
Per class
Predictive accuracy
0.68
Prior entropy
0.9975
Recall
0.68
Per class
Relative absolute error
0.7287
Root mean prior squared error
0.4991
Root mean squared error
0.49
Root relative squared error
0.9817
SciMark benchmark
894.7455
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10