DEVELOPMENT... OpenML
Run
140424

Run 140424

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I10
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9754
Per class
Build CPU time
46.0396
Build memory
739016060.8543
F measure
0.9307
Per class
Kappa
0.851
KB relative information score
5879.7889
Mean absolute error
0.0749
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
0.9307
Per class
Predictive accuracy
0.9309
Prior entropy
0.9504
Recall
0.9309
Per class
Relative absolute error
0.1608
Root mean prior squared error
0.4827
Root mean squared error
0.2391
Root relative squared error
0.4954
SciMark benchmark
935.1201

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