DEVELOPMENT... OpenML
Run
119504

Run 119504

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)_I160
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
0.9903
Per class
Build CPU time
3444.4208
Build memory
1046778649.2765
F measure
0.9766
Per class
Kappa
0.95
KB relative information score
6645.4926
Mean absolute error
0.0243
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
0.9771
Per class
Predictive accuracy
0.9765
Prior entropy
0.9504
Recall
0.9765
Per class
Relative absolute error
0.0521
Root mean prior squared error
0.4827
Root mean squared error
0.1492
Root relative squared error
0.309
SciMark benchmark
923.8078