DEVELOPMENT... OpenML
Run
134288

Run 134288

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.827
Per class
Build CPU time
0.0042
Build memory
2139406479.3253
F measure
0.7699
Per class
Kappa
0.533
KB relative information score
45.3289
Mean absolute error
0.2229
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
0.7707
Per class
Predictive accuracy
0.7711
Prior entropy
0.9919
Recall
0.7711
Per class
Relative absolute error
0.4509
Root mean prior squared error
0.4971
Root mean squared error
0.4661
Root relative squared error
0.9377
SciMark benchmark
946.9091