DEVELOPMENT... OpenML
Run
110250

Run 110250

Task 1798 (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)_I160
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
0.3952
Per class
Build CPU time
0.0618
Build memory
308822920.8
F measure
0.525
Per class
Kappa
-0.1644
KB relative information score
-74.2224
Mean absolute error
0.3157
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
0.5095
Per class
Predictive accuracy
0.5422
Prior entropy
1.0305
Recall
0.5422
Per class
Relative absolute error
1.0998
Root mean prior squared error
0.3755
Root mean squared error
0.5251
Root relative squared error
1.3984
SciMark benchmark
945.5885