Run
12073

Run 12073

Task 38 (Supervised Classification) ecoli 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)_I20
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
0.9621
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8504
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.802
Cross-validation details (10-fold Crossvalidation)
KB relative information score
253.2257
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0468
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
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
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2353
Cross-validation details (10-fold Crossvalidation)
Recall
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2563
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3016
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1706
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5656
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.8426[566.4958240211141015.2555353338006483.2321174670136908.64471704177161760.5845701777503]