DEVELOPMENT... OpenML
Run
77779

Run 77779

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I80
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9702
Per class
Build CPU time
1.405
Build memory
301166840
F measure
0.8981
Per class
Kappa
0.7949
KB relative information score
12.4208
Mean absolute error
0.1392
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
0.5991
Root mean prior squared error
0.3388
Root mean squared error
0.2194
Root relative squared error
0.6477
SciMark benchmark
914.4968