DEVELOPMENT... OpenML
Run
131382

Run 131382

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 25-12-2014 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)_I160
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
0.9047
Per class
Build CPU time
0.0378
Build memory
705644252.8
F measure
0.8295
Per class
Kappa
0.6575
KB relative information score
45.9498
Mean absolute error
0.2877
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8306
Per class
Predictive accuracy
0.83
Prior entropy
0.9975
Recall
0.83
Per class
Relative absolute error
0.5774
Root mean prior squared error
0.4991
Root mean squared error
0.3573
Root relative squared error
0.7158
SciMark benchmark
943.8134