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Run
13016

Run 13016

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I80
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.4338
Per class
F measure
0.5856
Per class
Kappa
-0.021
KB relative information score
-26.9284
Mean absolute error
0.3503
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
0.5034
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
1.2204
Root mean prior squared error
0.3755
Root mean squared error
0.4028
Root relative squared error
1.0727
SciMark benchmark
920.2918[566.1280718108505869.9571479318379483.6674820550281913.71210817040291767.9939646936223]