OpenML
1810162

Run 1810162

Task 9981 (Supervised Classification) cnae-9 Uploaded 27-07-2016 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.BFTree(4)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(4)_PPOSTPRUNED
weka.BFTree(4)_M2
weka.BFTree(4)_N5
weka.BFTree(4)_Ctrue
weka.BFTree(4)_S1

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
0.9708
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8474
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.825
Cross-validation details (10-fold Crossvalidation)
KB relative information score
912.985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0376
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1975
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8525
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8444
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1699
Cross-validation details (10-fold Crossvalidation)
Recall
0.8444
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1903
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1509
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4802
Cross-validation details (10-fold Crossvalidation)