DEVELOPMENT... OpenML
Run
78064

Run 78064

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 01-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I160
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
0.3198
Per class
Build CPU time
1.1443
Build memory
1648661182.4
F measure
0.5407
Per class
Kappa
-0.1582
KB relative information score
-76.7333
Mean absolute error
0.3189
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5002
Per class
Predictive accuracy
0.5933
Prior entropy
1.0305
Recall
0.5933
Per class
Relative absolute error
1.111
Root mean prior squared error
0.3755
Root mean squared error
0.441
Root relative squared error
1.1744
SciMark benchmark
904.8448