DEVELOPMENT... OpenML
Run
109461

Run 109461

Task 3668 (Supervised Classification) delta_ailerons 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
0.9136
Per class
Build CPU time
2.9934
Build memory
556843474.5126
F measure
0.9139
Per class
Kappa
0.8271
KB relative information score
5892.9779
Mean absolute error
0.0863
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9139
Per class
Predictive accuracy
0.9139
Prior entropy
0.9973
Recall
0.9139
Per class
Relative absolute error
0.1732
Root mean prior squared error
0.4991
Root mean squared error
0.2934
Root relative squared error
0.588
SciMark benchmark
945.0554