DEVELOPMENT... OpenML
Run
80443

Run 80443

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 02-12-2014 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)_I10
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
0.994
Per class
Build CPU time
0.004
Build memory
1437892056
F measure
0.8981
Per class
Kappa
0.7949
KB relative information score
16.1158
Mean absolute error
0.0938
Mean prior absolute error
0.2324
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9254
Per class
Predictive accuracy
0.9167
Prior entropy
1.3146
Recall
0.9167
Per class
Relative absolute error
0.4034
Root mean prior squared error
0.3388
Root mean squared error
0.1837
Root relative squared error
0.5423
SciMark benchmark
919.2952