DEVELOPMENT... OpenML
Run
79510

Run 79510

Task 11 (Supervised Classification) balance-scale Uploaded 01-12-2014 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)_I40
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
0.9423
Per class
Build CPU time
0.0786
Build memory
189160598.6816
F measure
0.8185
Per class
Kappa
0.6739
KB relative information score
359.2573
Mean absolute error
0.1471
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8245
Per class
Predictive accuracy
0.8128
Prior entropy
1.3212
Recall
0.8128
Per class
Relative absolute error
0.3875
Root mean prior squared error
0.4356
Root mean squared error
0.2872
Root relative squared error
0.6593
SciMark benchmark
946.5543