DEVELOPMENT... OpenML
Run
47269

Run 47269

Task 1735 (Learning Curve) segment Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9994 ± 0.0005
Per class
Build CPU time
1.3262
Build memory
364515583.6667
F measure
0.9809 ± 0.0068
Per class
Kappa
0.9778 ± 0.008
KB relative information score
0.9554 ± 0.0091
Mean absolute error
0.0191 ± 0.0033
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.981 ± 0.0067
Per class
Predictive accuracy
0.981 ± 0.0068
Prior entropy
2.8074
Recall
0.981 ± 0.0068
Per class
Relative absolute error
0.0778 ± 0.0133
Root mean prior squared error
0.3499
Root mean squared error
0.0742 ± 0.0111
Root relative squared error
0.2122 ± 0.0317
SciMark benchmark
1655.4655