DEVELOPMENT... OpenML
Run
122554

Run 122554

Task 3896 (Supervised Classification) ada_agnostic Uploaded 14-12-2014 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)_I160
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
0.7655
Per class
Build CPU time
3335.373
Build memory
1230261626.8531
F measure
0.8282
Per class
Kappa
0.5306
KB relative information score
2266.2635
Mean absolute error
0.168
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
0.8263
Per class
Predictive accuracy
0.8321
Prior entropy
0.8085
Recall
0.8321
Per class
Relative absolute error
0.4501
Root mean prior squared error
0.4319
Root mean squared error
0.4085
Root relative squared error
0.9458
SciMark benchmark
943.8134