DEVELOPMENT... OpenML
Run
130385

Run 130385

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.7523
Per class
Build CPU time
2.783
Build memory
939569883.7078
F measure
0.9072
Per class
Kappa
0.1383
KB relative information score
-819.4545
Mean absolute error
0.0855
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8983
Per class
Predictive accuracy
0.9189
Prior entropy
0.3444
Recall
0.9189
Per class
Relative absolute error
0.7111
Root mean prior squared error
0.2452
Root mean squared error
0.2651
Root relative squared error
1.0812
SciMark benchmark
939.0159