Run
411746

Run 411746

Task 4561 (Supervised Classification) kdd_ipums_la_97-small Uploaded 01-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Dagging_DecisionStump(3)Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.
weka.Dagging_DecisionStump(3)_F10
weka.Dagging_DecisionStump(3)_S1
weka.Dagging_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.982
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9759
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9485
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
63926.7832
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0471
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.466
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
70190
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9765
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9758
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9504
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9758
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.101
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1513
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.3134
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
931.7994
UserCPU time millis
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10 times 10-fold Crossvalidation)