DEVELOPMENT... OpenML
Run
80857

Run 80857

Task 3602 (Supervised Classification) visualizing_environmental 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)_I20
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
0.7223
Per class
Build CPU time
0.0066
Build memory
3232539150.2703
F measure
0.7018
Per class
Kappa
0.4085
KB relative information score
24.3458
Mean absolute error
0.4024
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7103
Per class
Predictive accuracy
0.7027
Prior entropy
0.9986
Recall
0.7027
Per class
Relative absolute error
0.8064
Root mean prior squared error
0.4995
Root mean squared error
0.4645
Root relative squared error
0.9299
SciMark benchmark
949.2096