DEVELOPMENT... OpenML
Run
118509

Run 118509

Task 1798 (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)_I10
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
0.3533
Per class
Build CPU time
0.0636
Build memory
892801763.2
F measure
0.5066
Per class
Kappa
-0.1914
KB relative information score
-86.5934
Mean absolute error
0.3244
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4981
Per class
Predictive accuracy
0.5156
Prior entropy
1.0305
Recall
0.5156
Per class
Relative absolute error
1.13
Root mean prior squared error
0.3755
Root mean squared error
0.5402
Root relative squared error
1.4387
SciMark benchmark
916.8516