DEVELOPMENT... OpenML
Run
17298

Run 17298

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 08-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(1)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(1)_I80
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
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
0.4909
Per class
F measure
0.5528
Per class
Kappa
-0.1088
KB relative information score
-2.5581
Mean absolute error
0.2712
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
0.5164
Per class
Predictive accuracy
0.6
Prior entropy
1.0305
Recall
0.6
Per class
Relative absolute error
0.9447
Root mean prior squared error
0.3755
Root mean squared error
0.5012
Root relative squared error
1.3348
SciMark benchmark
940.2834[562.29550002336991013.1203667026068478.7078954039208908.01528932595751739.2780735273252]