Run
6203

Run 6203

Task 59 (Supervised Classification) iris Uploaded 15-05-2014 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(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I10
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9781
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.1874
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0392
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_04, x86_64, Mac OS X, 10.9.2]
Precision
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0881
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1777
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.377
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1342.9171[928.77562327663031188.3780387707616652.53227596085671310.3924256376552634.507213666909]