DEVELOPMENT... OpenML
Run
97319

Run 97319

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 08-12-2014 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)_I10
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
0.6882
Per class
Build CPU time
0.0176
Build memory
1040633114.2703
F measure
0.6322
Per class
Kappa
0.2207
KB relative information score
9.0238
Mean absolute error
0.2227
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
0.5914
Per class
Predictive accuracy
0.6892
Prior entropy
1.3842
Recall
0.6892
Per class
Relative absolute error
0.8839
Root mean prior squared error
0.3504
Root mean squared error
0.3344
Root relative squared error
0.9542
SciMark benchmark
943.0033