DEVELOPMENT... OpenML
Run
119518

Run 119518

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8795
Per class
Build CPU time
151.0284
Build memory
455285835.3397
F measure
0.9174
Per class
Kappa
0.2171
KB relative information score
-3481.6394
Mean absolute error
0.0971
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
0.9108
Per class
Predictive accuracy
0.9301
Prior entropy
0.3444
Recall
0.9301
Per class
Relative absolute error
0.8069
Root mean prior squared error
0.2452
Root mean squared error
0.2318
Root relative squared error
0.9455
SciMark benchmark
913.3372

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