DEVELOPMENT... OpenML
Run
97394

Run 97394

Task 3561 (Supervised Classification) profb 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
0.4553
Per class
Build CPU time
0.0436
Build memory
1312408786.2738
F measure
0.5202
Per class
Kappa
-0.1032
KB relative information score
-44.2593
Mean absolute error
0.4545
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4892
Per class
Predictive accuracy
0.5863
Prior entropy
0.9188
Recall
0.5863
Per class
Relative absolute error
1.0221
Root mean prior squared error
0.4714
Root mean squared error
0.5056
Root relative squared error
1.0726
SciMark benchmark
945.1122