DEVELOPMENT... OpenML
Run
109280

Run 109280

Task 3057 (Supervised Classification) SPECTF 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)_I40
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
0.7905
Per class
Build CPU time
0.025
Build memory
71476424
F measure
0.8078
Per class
Kappa
0.5627
KB relative information score
53.7466
Mean absolute error
0.2025
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.836
Per class
Predictive accuracy
0.8
Prior entropy
0.8464
Recall
0.8
Per class
Relative absolute error
0.5017
Root mean prior squared error
0.4525
Root mean squared error
0.4457
Root relative squared error
0.9848
SciMark benchmark
943.4039