DEVELOPMENT... OpenML
Run
67821

Run 67821

Task 3561 (Supervised Classification) profb Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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
0.5427
Per class
Build CPU time
0.0346
Build memory
857705873.7976
F measure
0.5777
Per class
Kappa
0.0306
KB relative information score
22.1582
Mean absolute error
0.4096
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
0.5695
Per class
Predictive accuracy
0.5908
Prior entropy
0.9188
Recall
0.5908
Per class
Relative absolute error
0.9212
Root mean prior squared error
0.4714
Root mean squared error
0.6293
Root relative squared error
1.335
SciMark benchmark
937.6369