DEVELOPMENT... OpenML
Run
20207

Run 20207

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I40
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.3708
Per class
F measure
0.5801
Per class
Kappa
-0.0413
KB relative information score
-9.5806
Mean absolute error
0.3147
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
0.501
Per class
Predictive accuracy
0.6889
Prior entropy
1.0305
Recall
0.6889
Per class
Relative absolute error
1.0962
Root mean prior squared error
0.3755
Root mean squared error
0.3992
Root relative squared error
1.0631
SciMark benchmark
945.8924[557.80003864977771015.2555353338006483.6674820550281914.98778054938791757.751385454742]