DEVELOPMENT... OpenML
Run
114757

Run 114757

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I20
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.8646
Per class
Build CPU time
18.0471
Build memory
1037987115.7739
F measure
0.9188
Per class
Kappa
0.2601
KB relative information score
-1563.3477
Mean absolute error
0.0877
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
0.9131
Per class
Predictive accuracy
0.927
Prior entropy
0.3444
Recall
0.927
Per class
Relative absolute error
0.7295
Root mean prior squared error
0.2452
Root mean squared error
0.2446
Root relative squared error
0.9976
SciMark benchmark
939.0159