DEVELOPMENT... OpenML
Run
118531

Run 118531

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)_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
0.9917
Per class
Build CPU time
985.4699
Build memory
305279766.7702
F measure
0.9757
Per class
Kappa
0.9481
KB relative information score
6606.2934
Mean absolute error
0.0273
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
0.9762
Per class
Predictive accuracy
0.9756
Prior entropy
0.9504
Recall
0.9756
Per class
Relative absolute error
0.0586
Root mean prior squared error
0.4827
Root mean squared error
0.1484
Root relative squared error
0.3075
SciMark benchmark
924.2473