DEVELOPMENT... OpenML
Run
117394

Run 117394

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.4452
Per class
Build CPU time
0.3639
Build memory
177864094.4
F measure
0.5595
Per class
Kappa
-0.093
KB relative information score
-1.1815
Mean absolute error
0.2701
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
0.5209
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
0.9408
Root mean prior squared error
0.3755
Root mean squared error
0.4852
Root relative squared error
1.2921
SciMark benchmark
899.2335