DEVELOPMENT... OpenML
Run
110539

Run 110539

Task 3738 (Supervised Classification) rabe_131 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
0.9113
Per class
Build CPU time
0.0106
Build memory
289723635.2
F measure
0.9193
Per class
Kappa
0.8336
KB relative information score
40.3239
Mean absolute error
0.0979
Mean prior absolute error
0.4877
Number of instances
50
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9218
Per class
Predictive accuracy
0.92
Prior entropy
0.9829
Recall
0.92
Per class
Relative absolute error
0.2007
Root mean prior squared error
0.4936
Root mean squared error
0.2776
Root relative squared error
0.5624
SciMark benchmark
937.6343