DEVELOPMENT... OpenML
Run
117123

Run 117123

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8193
Per class
Build CPU time
0.0663
Build memory
358937839.7108
F measure
0.7687
Per class
Kappa
0.5305
KB relative information score
43.1657
Mean absolute error
0.2366
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
0.7721
Per class
Predictive accuracy
0.7711
Prior entropy
0.9919
Recall
0.7711
Per class
Relative absolute error
0.4787
Root mean prior squared error
0.4971
Root mean squared error
0.4759
Root relative squared error
0.9575
SciMark benchmark
938.1146