DEVELOPMENT... OpenML
Run
131930

Run 131930

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8659
Per class
Build CPU time
0.1145
Build memory
1997368904.8
F measure
0.7664
Per class
Kappa
0.5307
KB relative information score
55.6252
Mean absolute error
0.4066
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7698
Per class
Predictive accuracy
0.768
Prior entropy
0.9971
Recall
0.768
Per class
Relative absolute error
0.8166
Root mean prior squared error
0.499
Root mean squared error
0.4234
Root relative squared error
0.8485
SciMark benchmark
943.7751