Run
53849

Run 53849

Task 1723 (Learning Curve) mushroom Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.RealAdaBoost_NaiveBayes(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_NaiveBayes(1)_P100
weka.RealAdaBoost_NaiveBayes(1)_H1.0
weka.RealAdaBoost_NaiveBayes(1)_S1
weka.RealAdaBoost_NaiveBayes(1)_I10
weka.RealAdaBoost_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.9987 ± 0.0005
Per class
Build CPU time
0.0171
Build memory
314511749.28
F measure
0.9542 ± 0.0065
Per class
Kappa
0.9083 ± 0.0131
KB relative information score
0.9087 ± 0.0131
Mean absolute error
0.0454 ± 0.0066
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9572 ± 0.0058
Per class
Predictive accuracy
0.9543 ± 0.0065
Prior entropy
0.9991 ± 0.0001
Recall
0.9543 ± 0.0065
Per class
Relative absolute error
0.0908 ± 0.0132
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1886 ± 0.0146
Root relative squared error
0.3775 ± 0.0292
SciMark benchmark
1678.1065