DEVELOPMENT... OpenML
Run
75111

Run 75111

Task 3857 (Supervised Classification) vehicle 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)_I10
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
0.9985
Per class
Build CPU time
1.5659
Build memory
1078537129.8629
F measure
0.987
Per class
Kappa
0.966
KB relative information score
729.2482
Mean absolute error
0.0625
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.987
Per class
Predictive accuracy
0.987
Prior entropy
0.8241
Recall
0.987
Per class
Relative absolute error
0.1633
Root mean prior squared error
0.4374
Root mean squared error
0.1288
Root relative squared error
0.2944
SciMark benchmark
942.3187