DEVELOPMENT... OpenML
Run
110649

Run 110649

Task 3852 (Supervised Classification) anneal 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
0.9093
Per class
Build CPU time
1.0015
Build memory
242097741.8619
F measure
0.9471
Per class
Kappa
0.8502
KB relative information score
756.2186
Mean absolute error
0.0512
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9499
Per class
Predictive accuracy
0.9488
Prior entropy
0.7932
Recall
0.9488
Per class
Relative absolute error
0.1408
Root mean prior squared error
0.426
Root mean squared error
0.2224
Root relative squared error
0.5219
SciMark benchmark
924.6733