DEVELOPMENT... OpenML
Run
129768

Run 129768

Task 3856 (Supervised Classification) kdd_ipums_la_97-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)_I40
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
0.9909
Per class
Build CPU time
1.5685
Build memory
611710328.6121
F measure
0.9712
Per class
Kappa
0.9384
KB relative information score
6523.5508
Mean absolute error
0.0328
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
0.9716
Per class
Predictive accuracy
0.9711
Prior entropy
0.9504
Recall
0.9711
Per class
Relative absolute error
0.0705
Root mean prior squared error
0.4827
Root mean squared error
0.1586
Root relative squared error
0.3285
SciMark benchmark
939.0159

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