DEVELOPMENT... OpenML
Run
121812

Run 121812

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 12-12-2014 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)_I40
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
0.6221
Per class
Build CPU time
11581.509
Build memory
1357454965.7854
F measure
0.8629
Per class
Kappa
0.1889
KB relative information score
1284.8784
Mean absolute error
0.118
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
0.8526
Per class
Predictive accuracy
0.8819
Prior entropy
0.4871
Recall
0.8819
Per class
Relative absolute error
0.6241
Root mean prior squared error
0.3074
Root mean squared error
0.3394
Root relative squared error
1.104
SciMark benchmark
902.712