DEVELOPMENT... OpenML
Run
121738

Run 121738

Task 3890 (Supervised Classification) ada_prior 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
0.7687
Per class
Build CPU time
2069.0703
Build memory
1514126536.1087
F measure
0.8237
Per class
Kappa
0.52
KB relative information score
2188.8521
Mean absolute error
0.1737
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8218
Per class
Predictive accuracy
0.8268
Prior entropy
0.8085
Recall
0.8268
Per class
Relative absolute error
0.4655
Root mean prior squared error
0.4319
Root mean squared error
0.4145
Root relative squared error
0.9596
SciMark benchmark
935.1241