DEVELOPMENT... OpenML
Run
121001

Run 121001

Task 3765 (Supervised Classification) sleuth_case2002 Uploaded 11-12-2014 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)_I40
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
0.6398
Per class
Build CPU time
4.0415
Build memory
1758833683.8095
F measure
0.5843
Per class
Kappa
0.1649
KB relative information score
26.1904
Mean absolute error
0.408
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5841
Per class
Predictive accuracy
0.585
Prior entropy
0.9974
Recall
0.585
Per class
Relative absolute error
0.8191
Root mean prior squared error
0.4991
Root mean squared error
0.6034
Root relative squared error
1.2091
SciMark benchmark
916.8903