Run
1673818

Run 1673818

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 22-07-2016 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.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_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
0.5809
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.441
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1585
Cross-validation details (10-fold Crossvalidation)
KB relative information score
162.1189
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3729
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
0.4423
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.44
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.44
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8405
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2957
Cross-validation details (10-fold Crossvalidation)