Run
287671

Run 287671

Task 4303 (Supervised Classification) fri_c0_250_50 Uploaded 14-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.BFTree(3)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(3)_PPOSTPRUNED
weka.BFTree(3)_M2
weka.BFTree(3)_N5
weka.BFTree(3)_Ctrue
weka.BFTree(3)_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.

22 Evaluation measures

Area under ROC curve
0.7581
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7429
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4834
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1046.0795
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.297
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.498
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7429
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7432
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7432
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4676
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9372
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1151.6869
UserCPU time millis
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10 times 10-fold Crossvalidation)