DEVELOPMENT... OpenML
Run
134300

Run 134300

Task 3564 (Supervised Classification) analcatdata_germangss 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
0.4823
Per class
Build CPU time
0.0216
Build memory
1489599552.8
F measure
0.2313
Per class
Kappa
-0.0267
KB relative information score
24.2736
Mean absolute error
0.3899
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2326
Per class
Predictive accuracy
0.23
Prior entropy
2
Recall
0.23
Per class
Relative absolute error
1.0396
Root mean prior squared error
0.433
Root mean squared error
0.574
Root relative squared error
1.3255
SciMark benchmark
939.084