DEVELOPMENT... OpenML
Run
121712

Run 121712

Task 3922 (Supervised Classification) desharnais 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)_I80
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
0.8238
Per class
Build CPU time
4.1955
Build memory
2126468360.8889
F measure
0.7285
Per class
Kappa
0.5083
KB relative information score
43.5462
Mean absolute error
0.1775
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7515
Per class
Predictive accuracy
0.7284
Prior entropy
1.3765
Recall
0.7284
Per class
Relative absolute error
0.4667
Root mean prior squared error
0.4348
Root mean squared error
0.4175
Root relative squared error
0.9602
SciMark benchmark
924.9295