Run
756

Run 756

Task 93 (Learning Curve) postoperative-patient-data Uploaded 08-04-2014 by Jan van Rijn
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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)_I10
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
0.4026 ± 0.1811
Per class
F measure
0.5873 ± 0.0843
Per class
Kappa
-0.012 ± 0.0387
KB relative information score
-0.3209 ± 0.1777
Mean absolute error
0.3523 ± 0.0171
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.5041 ± 0.0962
Per class
Predictive accuracy
0.7033 ± 0.0613
Prior entropy
0.983 ± 0.181
Recall
0.7033 ± 0.0613
Per class
Relative absolute error
1.2273 ± 0.069
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4045 ± 0.0221
Root relative squared error
1.0774 ± 0.0491
SciMark benchmark
810.3081