Run
287477

Run 287477

Task 1927 (Supervised Classification) tae 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
0.7032
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5552
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3336
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
505.364
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3275
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1510
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
0.5558
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5556
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5556
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7371
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4769
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0117
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1340.1351
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)