DEVELOPMENT... OpenML
Run
67795

Run 67795

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.6517
Per class
Build CPU time
0.0192
Build memory
351577244.0358
F measure
0.8318
Per class
Kappa
0.3144
KB relative information score
78.2717
Mean absolute error
0.1692
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8318
Per class
Predictive accuracy
0.8318
Prior entropy
0.5956
Recall
0.8318
Per class
Relative absolute error
0.6873
Root mean prior squared error
0.3502
Root mean squared error
0.4103
Root relative squared error
1.1715
SciMark benchmark
937.6369