DEVELOPMENT... OpenML
Run
133687

Run 133687

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

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I10
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.785
Per class
Build CPU time
0.104
Build memory
387396333.9759
F measure
0.7824
Per class
Kappa
0.5588
KB relative information score
47.2675
Mean absolute error
0.2109
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
0.7826
Per class
Predictive accuracy
0.7831
Prior entropy
0.9919
Recall
0.7831
Per class
Relative absolute error
0.4267
Root mean prior squared error
0.4971
Root mean squared error
0.4546
Root relative squared error
0.9146
SciMark benchmark
939.084