DEVELOPMENT... OpenML
Run
78122

Run 78122

Task 11 (Supervised Classification) balance-scale 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)_I160
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
0.951
Per class
Build CPU time
15.5527
Build memory
1906297948.6208
F measure
0.837
Per class
Kappa
0.7263
KB relative information score
356.9772
Mean absolute error
0.1515
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
0.8278
Per class
Predictive accuracy
0.8464
Prior entropy
1.3212
Recall
0.8464
Per class
Relative absolute error
0.3989
Root mean prior squared error
0.4356
Root mean squared error
0.2706
Root relative squared error
0.6213
SciMark benchmark
885.3617