DEVELOPMENT... OpenML
Run
120429

Run 120429

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5433
Per class
Build CPU time
2.7824
Build memory
550367196.3774
F measure
0.6776
Per class
Kappa
0.0561
KB relative information score
-10.1917
Mean absolute error
0.3205
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6759
Per class
Predictive accuracy
0.6792
Prior entropy
0.7667
Recall
0.6792
Per class
Relative absolute error
0.9282
Root mean prior squared error
0.4143
Root mean squared error
0.5503
Root relative squared error
1.3282
SciMark benchmark
942.3919