DEVELOPMENT... OpenML
Run
109507

Run 109507

Task 3794 (Supervised Classification) disclosure_z 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
0.512
Per class
Build CPU time
0.0305
Build memory
324053957.6073
F measure
0.5151
Per class
Kappa
0.0278
KB relative information score
17.5088
Mean absolute error
0.4849
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5152
Per class
Predictive accuracy
0.5151
Prior entropy
0.9981
Recall
0.5151
Per class
Relative absolute error
0.9724
Root mean prior squared error
0.4993
Root mean squared error
0.6952
Root relative squared error
1.3922
SciMark benchmark
919.5971