Run
10618

Run 10618

Task 20 (Supervised Classification) mfeat-pixel Uploaded 22-05-2014 by Joaquin Vanschoren
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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
0.9949
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9244
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1850.0242
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0202
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.932
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1121
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0981
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.327
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.5713[564.114047767191013.9200573100866483.44967579697345906.44537908266061754.9271701211055]