DEVELOPMENT... OpenML
Run
111481

Run 111481

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.5642
Per class
Build CPU time
98.3291
Build memory
684472761.6934
F measure
0.9167
Per class
Kappa
0.1679
KB relative information score
2191.7927
Mean absolute error
0.0638
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9149
Per class
Predictive accuracy
0.9362
Prior entropy
0.3444
Recall
0.9362
Per class
Relative absolute error
0.5306
Root mean prior squared error
0.2452
Root mean squared error
0.2523
Root relative squared error
1.0293
SciMark benchmark
919.8064