DEVELOPMENT... OpenML
Run
103840

Run 103840

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 08-12-2014 by Felicia West
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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
0.4061
Per class
Build CPU time
0.018
Build memory
187090608
F measure
0.4937
Per class
Kappa
-0.3097
KB relative information score
-3.6445
Mean absolute error
0.3034
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4723
Per class
Predictive accuracy
0.5172
Prior entropy
1.0305
Recall
0.5172
Per class
Relative absolute error
1.0842
Root mean prior squared error
0.3657
Root mean squared error
0.4414
Root relative squared error
1.207
SciMark benchmark
945.4776