DEVELOPMENT... OpenML
Run
119717

Run 119717

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I10
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
0.8088
Per class
Build CPU time
0.581
Build memory
1429356047.2289
F measure
0.793
Per class
Kappa
0.5799
KB relative information score
45.0601
Mean absolute error
0.2298
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7969
Per class
Predictive accuracy
0.7952
Prior entropy
0.9919
Recall
0.7952
Per class
Relative absolute error
0.465
Root mean prior squared error
0.4971
Root mean squared error
0.4134
Root relative squared error
0.8316
SciMark benchmark
874.7324