DEVELOPMENT... OpenML
Run
133855

Run 133855

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.8904
Per class
Build CPU time
0.0345
Build memory
903059045.6
F measure
0.7899
Per class
Kappa
0.578
KB relative information score
42.9283
Mean absolute error
0.3023
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
0.7899
Per class
Predictive accuracy
0.79
Prior entropy
0.9975
Recall
0.79
Per class
Relative absolute error
0.6067
Root mean prior squared error
0.4991
Root mean squared error
0.3682
Root relative squared error
0.7377
SciMark benchmark
939.084