DEVELOPMENT... OpenML
Run
82275

Run 82275

Task 3705 (Supervised Classification) autoHorse 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)_I80
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
0.9923
Per class
Build CPU time
0.1056
Build memory
246594123.3561
F measure
0.946
Per class
Kappa
0.8876
KB relative information score
152.1492
Mean absolute error
0.1426
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9469
Per class
Predictive accuracy
0.9463
Prior entropy
0.9742
Recall
0.9463
Per class
Relative absolute error
0.2957
Root mean prior squared error
0.4909
Root mean squared error
0.2099
Root relative squared error
0.4276
SciMark benchmark
947.903