DEVELOPMENT... OpenML
Run
116413

Run 116413

Task 264 (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
0.4676
Per class
Build CPU time
0.308
Build memory
364747960
F measure
0.5594
Per class
Kappa
-0.0802
KB relative information score
-4.8967
Mean absolute error
0.3146
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
0.5682
Per class
Predictive accuracy
0.5517
Prior entropy
1.0305
Recall
0.5517
Per class
Relative absolute error
1.1243
Root mean prior squared error
0.3657
Root mean squared error
0.545
Root relative squared error
1.4903
SciMark benchmark
920.7965