DEVELOPMENT... OpenML
Run
186394

Run 186394

Task 4368 (Supervised Classification) cholesterol Uploaded 25-02-2015 by Felicia West
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_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.

22 Evaluation measures

Area under ROC curve
0.5533
Per class
F measure
0.5376
Per class
Kappa
0.065
KB relative information score
93.305
Mean absolute error
0.4817
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5374
Per class
Predictive accuracy
0.5429
Prior entropy
0.9935
Recall
0.5429
Per class
Relative absolute error
0.9723
Root mean prior squared error
0.4977
Root mean squared error
0.51
Root relative squared error
1.0247
SciMark benchmark
1319.5177
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70