Run
25912

Run 25912

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I160
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
0.9479
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.039
Cross-validation details (10-fold Crossvalidation)
Build memory
225032642.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.9125
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.87
Cross-validation details (10-fold Crossvalidation)
KB relative information score
131.7863
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0594
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9133
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9133
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1336
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5123
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1704.0511[1030.26613079259031238.8010094469903660.1548698255721355.80040951767984235.233300823109]