DEVELOPMENT... OpenML
Run
120480

Run 120480

Task 3770 (Supervised Classification) chscase_census4 Uploaded 10-12-2014 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
0.4889
Per class
Build CPU time
4.3039
Build memory
403292504.8
F measure
0.5176
Per class
Kappa
0.0346
KB relative information score
-0.1433
Mean absolute error
0.5007
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
0.5177
Per class
Predictive accuracy
0.5175
Prior entropy
0.9994
Recall
0.5175
Per class
Relative absolute error
1.0022
Root mean prior squared error
0.4998
Root mean squared error
0.6448
Root relative squared error
1.2901
SciMark benchmark
931.9838