DEVELOPMENT... OpenML
Run
110159

Run 110159

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.3992
Per class
Build CPU time
0.2799
Build memory
100020271.2
F measure
0.5113
Per class
Kappa
-0.2219
KB relative information score
-5.3347
Mean absolute error
0.2809
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4833
Per class
Predictive accuracy
0.5444
Prior entropy
1.0305
Recall
0.5444
Per class
Relative absolute error
0.9787
Root mean prior squared error
0.3755
Root mean squared error
0.5099
Root relative squared error
1.358
SciMark benchmark
942.5053