DEVELOPMENT... OpenML
Run
122095

Run 122095

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.6778
Per class
Build CPU time
6.1342
Build memory
102387060.7816
F measure
0.6205
Per class
Kappa
0.2399
KB relative information score
22.406
Mean absolute error
0.37
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6205
Per class
Predictive accuracy
0.6207
Prior entropy
0.9992
Recall
0.6207
Per class
Relative absolute error
0.7409
Root mean prior squared error
0.4997
Root mean squared error
0.6038
Root relative squared error
1.2082
SciMark benchmark
943.4163