Run
6944

Run 6944

Task 11 (Supervised Classification) balance-scale Uploaded 21-05-2014 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)_I80
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
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9212
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
494.5868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0851
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9376
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.9376
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2242
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1786
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.41
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.003[564.29658017915111015.2555353338006484.3219757802961910.85475360997441770.2863098224536]