DEVELOPMENT... OpenML
Run
35179

Run 35179

Task 3501 (Supervised Classification) white-clover Uploaded 22-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.7157
Per class
Build CPU time
0.388
Build memory
1138084470.9841
F measure
0.657
Per class
Kappa
0.3294
KB relative information score
12.2074
Mean absolute error
0.227
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6775
Per class
Predictive accuracy
0.6825
Prior entropy
1.4097
Recall
0.6825
Per class
Relative absolute error
0.8344
Root mean prior squared error
0.3647
Root mean squared error
0.3421
Root relative squared error
0.9382
SciMark benchmark
738.1496