DEVELOPMENT... OpenML
Run
116456

Run 116456

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 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)_I160
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
0.3846
Per class
Build CPU time
0.5022
Build memory
946825338.4
F measure
0.5124
Per class
Kappa
-0.1904
KB relative information score
-70.3215
Mean absolute error
0.3142
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
0.4975
Per class
Predictive accuracy
0.5289
Prior entropy
1.0305
Recall
0.5289
Per class
Relative absolute error
1.0947
Root mean prior squared error
0.3755
Root mean squared error
0.5451
Root relative squared error
1.4517
SciMark benchmark
917.4547