Run
8407

Run 8407

Task 51 (Supervised Classification) trains Uploaded 22-05-2014 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
0.66
Per class
F measure
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2.1708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3888
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7777
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2311
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
950.2763[563.74938041721711015.52310425331483.88543266528814912.75766683510371775.4658498221418]