DEVELOPMENT... OpenML
Run
76342

Run 76342

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)_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
0.9509
Per class
Build CPU time
2.3771
Build memory
2300586819.2256
F measure
0.8328
Per class
Kappa
0.7158
KB relative information score
358.31
Mean absolute error
0.1513
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
0.8258
Per class
Predictive accuracy
0.84
Prior entropy
1.3212
Recall
0.84
Per class
Relative absolute error
0.3984
Root mean prior squared error
0.4356
Root mean squared error
0.2718
Root relative squared error
0.6241
SciMark benchmark
947.2295