DEVELOPMENT... OpenML
Run
79531

Run 79531

Task 270 (Supervised Classification) glass Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.9056
Per class
Build CPU time
0.035
Build memory
1715129800
F measure
0.6612
Per class
Kappa
0.5485
KB relative information score
40.1186
Mean absolute error
0.1191
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
0.6774
Per class
Predictive accuracy
0.6714
Prior entropy
2.2315
Recall
0.6714
Per class
Relative absolute error
0.5599
Root mean prior squared error
0.3261
Root mean squared error
0.2466
Root relative squared error
0.7563
SciMark benchmark
931.0999