Run
1853436

Run 1853436

Task 3 (Supervised Classification) kr-vs-kp Uploaded 22-03-2017 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(11)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(11)_P100
weka.LogitBoost_DecisionStump(11)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(11)_H1.0
weka.LogitBoost_DecisionStump(11)_Z3.0
weka.LogitBoost_DecisionStump(11)_O1
weka.LogitBoost_DecisionStump(11)_E1
weka.LogitBoost_DecisionStump(11)_S1
weka.LogitBoost_DecisionStump(11)_I10
weka.LogitBoost_DecisionStump(11)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9773
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9382
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2262.6318
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1666
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9394
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9384
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9384
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3338
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2412
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4828
Cross-validation details (10-fold Crossvalidation)