DEVELOPMENT... OpenML
Run
76650

Run 76650

Task 3810 (Supervised Classification) arsenic-male-bladder 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
0.8632
Per class
Build CPU time
0.6574
Build memory
1826445706.0895
F measure
0.9701
Per class
Kappa
0.6216
KB relative information score
27.6862
Mean absolute error
0.0392
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9694
Per class
Predictive accuracy
0.9714
Prior entropy
0.2628
Recall
0.9714
Per class
Relative absolute error
0.4685
Root mean prior squared error
0.2027
Root mean squared error
0.1559
Root relative squared error
0.7689
SciMark benchmark
925.2506