DEVELOPMENT... OpenML
Run
121351

Run 121351

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.6659
Per class
Build CPU time
5934.7838
Build memory
803408931.6361
F measure
0.8612
Per class
Kappa
0.1982
KB relative information score
973.3968
Mean absolute error
0.1236
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8515
Per class
Predictive accuracy
0.8755
Prior entropy
0.4871
Recall
0.8755
Per class
Relative absolute error
0.6534
Root mean prior squared error
0.3074
Root mean squared error
0.3437
Root relative squared error
1.1179
SciMark benchmark
939.521