Run
1672368

Run 1672368

Task 9908 (Supervised Classification) autoUniv-au4-2500 Uploaded 20-07-2016 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_RandomTree(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I10
weka.Bagging_RandomTree(9)_Wweka.classifiers.trees.RandomTree

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
0.5617
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0792
Cross-validation details (10-fold Crossvalidation)
KB relative information score
157.504
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3698
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
0.4813
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5024
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3187
Cross-validation details (10-fold Crossvalidation)
Recall
0.5024
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9746
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4355
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4439
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0192
Cross-validation details (10-fold Crossvalidation)