DEVELOPMENT... OpenML
Run
134611

Run 134611

Task 3915 (Supervised Classification) kc3 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
0.7198
Per class
Build CPU time
0.0367
Build memory
2043771305.6245
F measure
0.8749
Per class
Kappa
0.2133
KB relative information score
39.5256
Mean absolute error
0.1164
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8675
Per class
Predictive accuracy
0.8843
Prior entropy
0.4551
Recall
0.8843
Per class
Relative absolute error
0.6783
Root mean prior squared error
0.2917
Root mean squared error
0.3313
Root relative squared error
1.1359
SciMark benchmark
939.084