DEVELOPMENT... OpenML
Run
76510

Run 76510

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)_I20
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
0.525
Build memory
1075745120
F measure
0.8583
Per class
Kappa
0.7085
KB relative information score
12.3572
Mean absolute error
0.1401
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
0.888
Per class
Predictive accuracy
0.875
Prior entropy
1.3146
Recall
0.875
Per class
Relative absolute error
0.603
Root mean prior squared error
0.3388
Root mean squared error
0.2225
Root relative squared error
0.6568
SciMark benchmark
925.2506