DEVELOPMENT... OpenML
Run
28635

Run 28635

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 09-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

17 Evaluation measures

Area under ROC curve
0.9348
Per class
F measure
0.8379
Per class
Kappa
0.6727
KB relative information score
298.7539
Mean absolute error
0.1826
Mean prior absolute error
0.4939
Number of instances
468
Per class
Precision
0.839
Per class
Predictive accuracy
0.8376
Prior entropy
0.9912
Recall
0.8376
Per class
Relative absolute error
0.3697
Root mean prior squared error
0.4969
Root mean squared error
0.3318
Root relative squared error
0.6678