DEVELOPMENT... OpenML
Run
118044

Run 118044

Task 3865 (Supervised Classification) ipums_la_98-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)_I40
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
0.8456
Per class
Build CPU time
432.0855
Build memory
654319094.7698
F measure
0.8621
Per class
Kappa
0.1737
KB relative information score
-816.6841
Mean absolute error
0.1465
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
0.8517
Per class
Predictive accuracy
0.884
Prior entropy
0.4871
Recall
0.884
Per class
Relative absolute error
0.7746
Root mean prior squared error
0.3074
Root mean squared error
0.2921
Root relative squared error
0.9502
SciMark benchmark
908.8705