DEVELOPMENT... OpenML
Run
95051

Run 95051

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.5925
Per class
Build CPU time
0.002
Build memory
48066744
F measure
0.5733
Per class
Kappa
-0.0584
KB relative information score
-12.7491
Mean absolute error
0.3667
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5096
Per class
Predictive accuracy
0.6552
Prior entropy
1.0305
Recall
0.6552
Per class
Relative absolute error
1.3103
Root mean prior squared error
0.3657
Root mean squared error
0.4158
Root relative squared error
1.137
SciMark benchmark
945.1122