DEVELOPMENT... OpenML
Run
120660

Run 120660

Task 3896 (Supervised Classification) ada_agnostic 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
0.799
Per class
Build CPU time
411.5057
Build memory
862626474.3989
F measure
0.8157
Per class
Kappa
0.4981
KB relative information score
2066.0441
Mean absolute error
0.1824
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
0.8136
Per class
Predictive accuracy
0.8189
Prior entropy
0.8085
Recall
0.8189
Per class
Relative absolute error
0.4888
Root mean prior squared error
0.4319
Root mean squared error
0.4169
Root relative squared error
0.9653
SciMark benchmark
925.7673