DEVELOPMENT... OpenML
Run
12451

Run 12451

Task 30 (Supervised Classification) page-blocks Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I60
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9915
Per class
F measure
0.9734
Per class
Kappa
0.8602
KB relative information score
4261.0062
Mean absolute error
0.0176
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9732
Per class
Predictive accuracy
0.9741
Prior entropy
0.6391
Recall
0.9741
Per class
Relative absolute error
0.2309
Root mean prior squared error
0.1949
Root mean squared error
0.0906
Root relative squared error
0.4647
SciMark benchmark
947.7256[568.89779800413941015.5230404536866482.5806157404377909.90626928802961761.7204843045454]