DEVELOPMENT... OpenML
Run
105659

Run 105659

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.843
Per class
Build CPU time
7.3458
Build memory
1097088629.3333
F measure
0.8581
Per class
Kappa
0.1269
KB relative information score
-1400.0587
Mean absolute error
0.1534
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
0.8482
Per class
Predictive accuracy
0.8878
Prior entropy
0.4871
Recall
0.8878
Per class
Relative absolute error
0.8114
Root mean prior squared error
0.3074
Root mean squared error
0.2897
Root relative squared error
0.9423
SciMark benchmark
944.3832