Run
1672951

Run 1672951

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 21-07-2016 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_RandomForest(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_P100
weka.Bagging_RandomForest(9)_S1
weka.Bagging_RandomForest(9)_num-slots1
weka.Bagging_RandomForest(9)_I10
weka.Bagging_RandomForest(9)_Wweka.classifiers.trees.RandomForest

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
0.702
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2329
Cross-validation details (10-fold Crossvalidation)
KB relative information score
136.0008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3874
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4873
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.49
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8733
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4377
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9294
Cross-validation details (10-fold Crossvalidation)