DEVELOPMENT... OpenML
Run
118003

Run 118003

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)_I20
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
0.3431
Per class
Build CPU time
0.1373
Build memory
144966947.2
F measure
0.5019
Per class
Kappa
-0.2138
KB relative information score
-80.2609
Mean absolute error
0.3205
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
0.4874
Per class
Predictive accuracy
0.5178
Prior entropy
1.0305
Recall
0.5178
Per class
Relative absolute error
1.1165
Root mean prior squared error
0.3755
Root mean squared error
0.5465
Root relative squared error
1.4554
SciMark benchmark
942.5053