DEVELOPMENT... OpenML
Run
48368

Run 48368

Task 86 (Learning Curve) colic Uploaded 05-11-2014 by Jason
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  • curves 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
0.9033 ± 0.053
Per class
Build CPU time
0.0775
Build memory
2456997944.7867
F measure
0.8585 ± 0.0572
Per class
Kappa
0.6935 ± 0.1238
KB relative information score
0.4676 ± 0.0654
Mean absolute error
0.2678 ± 0.0261
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8596 ± 0.0534
Per class
Predictive accuracy
0.8603 ± 0.0531
Prior entropy
0.9503 ± 0.0087
Recall
0.8603 ± 0.0531
Per class
Relative absolute error
0.5744 ± 0.0556
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3389 ± 0.0384
Root relative squared error
0.702 ± 0.0793
SciMark benchmark
1655.4655