DEVELOPMENT... OpenML
Run
118077

Run 118077

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)_I20
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
0.8208
Per class
Build CPU time
0.0513
Build memory
691277156.4337
F measure
0.7687
Per class
Kappa
0.5305
KB relative information score
43.1335
Mean absolute error
0.2365
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
0.4786
Root mean prior squared error
0.4971
Root mean squared error
0.4739
Root relative squared error
0.9534
SciMark benchmark
944.4197