DEVELOPMENT... OpenML
Run
109689

Run 109689

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.3571
Per class
Build CPU time
0.085
Build memory
194187760
F measure
0.4937
Per class
Kappa
-0.3097
KB relative information score
-4.1448
Mean absolute error
0.299
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
0.4723
Per class
Predictive accuracy
0.5172
Prior entropy
1.0305
Recall
0.5172
Per class
Relative absolute error
1.0686
Root mean prior squared error
0.3657
Root mean squared error
0.5362
Root relative squared error
1.4661
SciMark benchmark
920.7965