DEVELOPMENT... OpenML
Run
132855

Run 132855

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
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
0.3973
Per class
Build CPU time
0.2894
Build memory
1071590983.2
F measure
0.5456
Per class
Kappa
-0.1489
KB relative information score
-0.8867
Mean absolute error
0.267
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
0.5054
Per class
Predictive accuracy
0.6
Prior entropy
1.0305
Recall
0.6
Per class
Relative absolute error
0.9302
Root mean prior squared error
0.3755
Root mean squared error
0.4967
Root relative squared error
1.3228
SciMark benchmark
945.5885