DEVELOPMENT... OpenML
Run
134298

Run 134298

Task 3561 (Supervised Classification) profb Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.4931
Per class
Build CPU time
0.0041
Build memory
273281489.2857
F measure
0.5597
Per class
Kappa
-0.0118
KB relative information score
-28.6021
Mean absolute error
0.4429
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5502
Per class
Predictive accuracy
0.5744
Prior entropy
0.9188
Recall
0.5744
Per class
Relative absolute error
0.9962
Root mean prior squared error
0.4714
Root mean squared error
0.6218
Root relative squared error
1.3191
SciMark benchmark
946.9091