DEVELOPMENT... OpenML
Run
137023

Run 137023

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.519
Per class
Build CPU time
10.935
Build memory
789215356.4216
F measure
0.8529
Per class
Kappa
0.0647
KB relative information score
1978.1749
Mean absolute error
0.1053
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
0.8592
Per class
Predictive accuracy
0.8949
Prior entropy
0.4871
Recall
0.8949
Per class
Relative absolute error
0.5566
Root mean prior squared error
0.3074
Root mean squared error
0.3243
Root relative squared error
1.055
SciMark benchmark
907.1899