DEVELOPMENT... OpenML
Run
75193

Run 75193

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.4224
Per class
Build CPU time
0.1603
Build memory
1125766967.2
F measure
0.5574
Per class
Kappa
-0.1163
KB relative information score
-4.1104
Mean absolute error
0.2862
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.491
Per class
Predictive accuracy
0.6444
Prior entropy
1.0305
Recall
0.6444
Per class
Relative absolute error
0.9971
Root mean prior squared error
0.3755
Root mean squared error
0.4145
Root relative squared error
1.104
SciMark benchmark
942.3187