DEVELOPMENT... OpenML
Run
8900

Run 8900

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 by Felicia West
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I3
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8613
Per class
F measure
0.8136
Per class
Kappa
0.5973
KB relative information score
157.4541
Mean absolute error
0.2774
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8133
Per class
Predictive accuracy
0.8152
Prior entropy
0.9509
Recall
0.8152
Per class
Relative absolute error
0.5951
Root mean prior squared error
0.4827
Root mean squared error
0.371
Root relative squared error
0.7687
SciMark benchmark
951.4421[573.95220702065961015.7907504114269483.6674820550281919.8035395506321763.996579689319]