DEVELOPMENT... OpenML
Run
31537

Run 31537

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 13-10-2014 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)_I160
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.

21 Evaluation measures

Area under ROC curve
0.9386
Per class
Build CPU time
0.1387
Build memory
1503616084.2222
F measure
0.8422
Per class
Kappa
0.6816
KB relative information score
301.4765
Mean absolute error
0.1798
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8437
Per class
Predictive accuracy
0.8419
Prior entropy
0.9912
Recall
0.8419
Per class
Relative absolute error
0.3642
Root mean prior squared error
0.4969
Root mean squared error
0.3262
Root relative squared error
0.6565
SciMark benchmark
932.862