DEVELOPMENT... OpenML
Run
48425

Run 48425

Task 1735 (Learning Curve) segment Uploaded 05-11-2014 by Jason
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.9995 ± 0.0005
Per class
Build CPU time
0.1524
Build memory
3405690312.6667
F measure
0.9818 ± 0.0099
Per class
Kappa
0.9788 ± 0.0116
KB relative information score
0.9612 ± 0.009
Mean absolute error
0.0165 ± 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
0.9818 ± 0.0097
Per class
Predictive accuracy
0.9818 ± 0.01
Prior entropy
2.8074
Recall
0.9818 ± 0.01
Per class
Relative absolute error
0.0673 ± 0.0134
Root mean prior squared error
0.3499
Root mean squared error
0.07 ± 0.0112
Root relative squared error
0.2001 ± 0.032
SciMark benchmark
1445.6628