DEVELOPMENT... OpenML
Run
166059

Run 166059

Task 3707 (Supervised Classification) analcatdata_runshoes 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
0.739
Per class
F measure
0.7467
Per class
Kappa
0.4681
KB relative information score
18.8037
Mean absolute error
0.3333
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7473
Per class
Predictive accuracy
0.75
Prior entropy
0.9728
Recall
0.75
Per class
Relative absolute error
0.6935
Root mean prior squared error
0.4899
Root mean squared error
0.473
Root relative squared error
0.9656
SciMark benchmark
894.7455
UserCPU time millis
10
UserCPU time millis training
10