OpenML
12168

Run 12168

Task 53 (Supervised Classification) vehicle 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)_I40
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
0.9286
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.748
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6706
Cross-validation details (10-fold Crossvalidation)
KB relative information score
572.3954
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.148
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.7445
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.753
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.753
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3948
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2782
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6427
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.2969[567.78666173126961015.7907504114269483.6674820550281911.48820099582031757.7512505720342]