DEVELOPMENT... OpenML
Run
135040

Run 135040

Task 3726 (Supervised Classification) sleuth_ex2016 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)_I20
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
0.6444
Per class
Build CPU time
0.0009
Build memory
2362727486.3448
F measure
0.6437
Per class
Kappa
0.2882
KB relative information score
24.895
Mean absolute error
0.3563
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
0.6452
Per class
Predictive accuracy
0.6437
Prior entropy
0.9992
Recall
0.6437
Per class
Relative absolute error
0.7135
Root mean prior squared error
0.4997
Root mean squared error
0.5969
Root relative squared error
1.1946
SciMark benchmark
939.084