DEVELOPMENT... OpenML
Run
83259

Run 83259

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I160
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.7176
Per class
Build CPU time
0.2574
Build memory
766189873.9459
F measure
0.5422
Per class
Kappa
-0.0117
KB relative information score
8.7718
Mean absolute error
0.2196
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4877
Per class
Predictive accuracy
0.6216
Prior entropy
1.3842
Recall
0.6216
Per class
Relative absolute error
0.8716
Root mean prior squared error
0.3504
Root mean squared error
0.3345
Root relative squared error
0.9547
SciMark benchmark
933.4451