Run
1666265

Run 1666265

Task 14 (Supervised Classification) mfeat-fourier 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.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
0.9059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.767
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7433
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1530.7824
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0518
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7718
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.769
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.769
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2876
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1981
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6603
Cross-validation details (10-fold Crossvalidation)