DEVELOPMENT... OpenML
Run
110740

Run 110740

Task 3856 (Supervised Classification) kdd_ipums_la_97-small 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
0.9375
Per class
Build CPU time
39.918
Build memory
433096029.3842
F measure
0.9376
Per class
Kappa
0.8667
KB relative information score
6045.4732
Mean absolute error
0.0628
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9384
Per class
Predictive accuracy
0.9373
Prior entropy
0.9504
Recall
0.9373
Per class
Relative absolute error
0.1347
Root mean prior squared error
0.4827
Root mean squared error
0.2501
Root relative squared error
0.5182
SciMark benchmark
937.6343