DEVELOPMENT... OpenML
Run
134296

Run 134296

Task 3559 (Supervised Classification) confidence 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
0.8417
Per class
Build CPU time
0.0008
Build memory
2355029021.6667
F measure
0.7333
Per class
Kappa
0.6833
KB relative information score
51.0666
Mean absolute error
0.088
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7369
Per class
Predictive accuracy
0.7361
Prior entropy
2.585
Recall
0.7361
Per class
Relative absolute error
0.3167
Root mean prior squared error
0.3727
Root mean squared error
0.2966
Root relative squared error
0.7958
SciMark benchmark
946.9091