DEVELOPMENT... OpenML
Run
122132

Run 122132

Task 3770 (Supervised Classification) chscase_census4 Uploaded 13-12-2014 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)_I160
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
0.5038
Per class
Build CPU time
29.8902
Build memory
467273205.6
F measure
0.5025
Per class
Kappa
0.004
KB relative information score
2.0792
Mean absolute error
0.4961
Mean prior absolute error
0.4996
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5024
Per class
Predictive accuracy
0.5025
Prior entropy
0.9994
Recall
0.5025
Per class
Relative absolute error
0.993
Root mean prior squared error
0.4998
Root mean squared error
0.6793
Root relative squared error
1.3593
SciMark benchmark
943.4163