DEVELOPMENT... OpenML
Run
108949

Run 108949

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

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8629
Per class
Build CPU time
5.2749
Build memory
82156132.722
F measure
0.8481
Per class
Kappa
0.0298
KB relative information score
-1592.2577
Mean absolute error
0.1526
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
0.8938
Prior entropy
0.4871
Recall
0.8938
Per class
Relative absolute error
0.807
Root mean prior squared error
0.3074
Root mean squared error
0.2776
Root relative squared error
0.9029
SciMark benchmark
942.3919