DEVELOPMENT... OpenML
Run
121162

Run 121162

Task 3896 (Supervised Classification) ada_agnostic Uploaded 11-12-2014 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)_I40
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
0.7867
Per class
Build CPU time
801.7949
Build memory
1531969578.2709
F measure
0.8248
Per class
Kappa
0.5212
KB relative information score
2212.0063
Mean absolute error
0.1719
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
0.8228
Per class
Predictive accuracy
0.8288
Prior entropy
0.8085
Recall
0.8288
Per class
Relative absolute error
0.4605
Root mean prior squared error
0.4319
Root mean squared error
0.4101
Root relative squared error
0.9494
SciMark benchmark
925.481