DEVELOPMENT... OpenML
Run
120338

Run 120338

Task 3613 (Supervised Classification) servo 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
0.9151
Per class
Build CPU time
1.712
Build memory
860851889.1018
F measure
0.9281
Per class
Kappa
0.7956
KB relative information score
128.5971
Mean absolute error
0.0688
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9281
Per class
Predictive accuracy
0.9281
Prior entropy
0.7794
Recall
0.9281
Per class
Relative absolute error
0.1948
Root mean prior squared error
0.4193
Root mean squared error
0.2587
Root relative squared error
0.6171
SciMark benchmark
907.4175