Run
287620

Run 287620

Task 3517 (Supervised Classification) ipums_la_97-small 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
0.7819
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3307
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2904
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2251.532
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1708
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2082
Cross-validation details (10-fold Crossvalidation)
Number of instances
7019
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4472
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.7591
Cross-validation details (10-fold Crossvalidation)
Recall
0.4472
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8206
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3226
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.294
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9112
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1328.8457
UserCPU time millis
464630
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
464620
Cross-validation details (10-fold Crossvalidation)