DEVELOPMENT... OpenML
Run
109432

Run 109432

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5159
Per class
Build CPU time
0.0093
Build memory
61789324.478
F measure
0.6621
Per class
Kappa
0.0416
KB relative information score
-24.1487
Mean absolute error
0.348
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6711
Per class
Predictive accuracy
0.6541
Prior entropy
0.7667
Recall
0.6541
Per class
Relative absolute error
1.008
Root mean prior squared error
0.4143
Root mean squared error
0.5841
Root relative squared error
1.4097
SciMark benchmark
923.9118