DEVELOPMENT... OpenML
Run
132042

Run 132042

Task 3726 (Supervised Classification) sleuth_ex2016 Uploaded 26-12-2014 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)_I80
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
0.7907
Per class
Build CPU time
0.0198
Build memory
921050474.4828
F measure
0.7342
Per class
Kappa
0.4685
KB relative information score
27.5343
Mean absolute error
0.3518
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7377
Per class
Predictive accuracy
0.7356
Prior entropy
0.9992
Recall
0.7356
Per class
Relative absolute error
0.7045
Root mean prior squared error
0.4997
Root mean squared error
0.428
Root relative squared error
0.8565
SciMark benchmark
940.5537