DEVELOPMENT... OpenML
Run
130969

Run 130969

Task 3865 (Supervised Classification) ipums_la_98-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)_I160
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
0.7208
Per class
Build CPU time
5.0917
Build memory
717893457.119
F measure
0.8476
Per class
Kappa
0.1378
KB relative information score
-490.2856
Mean absolute error
0.1467
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8381
Per class
Predictive accuracy
0.8592
Prior entropy
0.4871
Recall
0.8592
Per class
Relative absolute error
0.7759
Root mean prior squared error
0.3074
Root mean squared error
0.3545
Root relative squared error
1.1532
SciMark benchmark
927.3354