DEVELOPMENT... OpenML
Run
121934

Run 121934

Task 3500 (Supervised Classification) squash-unstored Uploaded 13-12-2014 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
0.8156
Per class
Build CPU time
6.3406
Build memory
1084018193.2308
F measure
0.788
Per class
Kappa
0.6324
KB relative information score
33.1615
Mean absolute error
0.141
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7974
Per class
Predictive accuracy
0.7885
Prior entropy
1.3486
Recall
0.7885
Per class
Relative absolute error
0.3689
Root mean prior squared error
0.4353
Root mean squared error
0.3755
Root relative squared error
0.8628
SciMark benchmark
899.4388