DEVELOPMENT... OpenML
Run
118735

Run 118735

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)_I20
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
0.9918
Per class
Build CPU time
474.1018
Build memory
1233112346.406
F measure
0.9747
Per class
Kappa
0.9459
KB relative information score
6564.0857
Mean absolute error
0.0306
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
0.9751
Per class
Predictive accuracy
0.9746
Prior entropy
0.9504
Recall
0.9746
Per class
Relative absolute error
0.0656
Root mean prior squared error
0.4827
Root mean squared error
0.1487
Root relative squared error
0.3081
SciMark benchmark
923.3659