DEVELOPMENT... OpenML
Run
110562

Run 110562

Task 3761 (Supervised Classification) hip 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
0.6099
Per class
Build CPU time
0.0115
Build memory
1017712735.1111
F measure
0.5473
Per class
Kappa
0.1657
KB relative information score
9.6281
Mean absolute error
0.4111
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6317
Per class
Predictive accuracy
0.5926
Prior entropy
0.9991
Recall
0.5926
Per class
Relative absolute error
0.8232
Root mean prior squared error
0.4997
Root mean squared error
0.6258
Root relative squared error
1.2525
SciMark benchmark
907.4175