DEVELOPMENT... OpenML
Run
119539

Run 119539

Task 3856 (Supervised Classification) kdd_ipums_la_97-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
0.9909
Per class
Build CPU time
223.4862
Build memory
976188117.5529
F measure
0.976
Per class
Kappa
0.9487
KB relative information score
6543.9023
Mean absolute error
0.0327
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9765
Per class
Predictive accuracy
0.9759
Prior entropy
0.9504
Recall
0.9759
Per class
Relative absolute error
0.0702
Root mean prior squared error
0.4827
Root mean squared error
0.1457
Root relative squared error
0.3019
SciMark benchmark
924.2473