Run
1672375

Run 1672375

Task 3534 (Supervised Classification) ohscal.wc 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
0.8663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5298
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4773
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4669.5411
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1379
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1787
Cross-validation details (10-fold Crossvalidation)
Number of instances
11162
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5333
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5339
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2759
Cross-validation details (10-fold Crossvalidation)
Recall
0.5339
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7713
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8553
Cross-validation details (10-fold Crossvalidation)