DEVELOPMENT... OpenML
Run
25909

Run 25909

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I20
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0

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
0.9779
Per class
Build CPU time
0.0063
Build memory
564303324.8
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
138.1914
Mean absolute error
0.0393
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.0885
Root mean prior squared error
0.4714
Root mean squared error
0.1868
Root relative squared error
0.3962
SciMark benchmark
1704.0511[1030.26613079259031238.8010094469903660.1548698255721355.80040951767984235.233300823109]

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