Run
1687824

Run 1687824

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 23-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LWL_DecisionStump(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(3)_P100
weka.Bagging_LWL_DecisionStump(3)_S1
weka.Bagging_LWL_DecisionStump(3)_num-slots1
weka.Bagging_LWL_DecisionStump(3)_I10
weka.Bagging_LWL_DecisionStump(3)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(4)_Atrue
weka.LWL_DecisionStump(4)_K-1
weka.LWL_DecisionStump(4)_U0
weka.LWL_DecisionStump(4)_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
0.6369
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5075
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1759
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.9867
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.361
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5596
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5596
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9513
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4246
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9749
Cross-validation details (10-fold Crossvalidation)