Run
1666289

Run 1666289

Task 9905 (Supervised Classification) autoUniv-au7-700 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_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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
0.7208
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5316
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2927
Cross-validation details (10-fold Crossvalidation)
KB relative information score
194.5467
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3546
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
0.5356
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.5286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7992
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9166
Cross-validation details (10-fold Crossvalidation)