DEVELOPMENT... OpenML
Run
80841

Run 80841

Task 270 (Supervised Classification) glass 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
0.8885
Per class
Build CPU time
0.023
Build memory
1071254304
F measure
0.648
Per class
Kappa
0.5644
KB relative information score
38.4015
Mean absolute error
0.1292
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6583
Per class
Predictive accuracy
0.6857
Prior entropy
2.2315
Recall
0.6857
Per class
Relative absolute error
0.6077
Root mean prior squared error
0.3261
Root mean squared error
0.2502
Root relative squared error
0.7673
SciMark benchmark
947.4258