DEVELOPMENT... OpenML
Run
109174

Run 109174

Task 1775 (Supervised Classification) balance-scale 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
0.9181
Per class
Build CPU time
0.0206
Build memory
253609135.3882
F measure
0.8113
Per class
Kappa
0.6812
KB relative information score
1782.9649
Mean absolute error
0.1449
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8056
Per class
Predictive accuracy
0.8214
Prior entropy
1.3212
Recall
0.8214
Per class
Relative absolute error
0.3814
Root mean prior squared error
0.4356
Root mean squared error
0.3028
Root relative squared error
0.6951
SciMark benchmark
919.5971