Run
410730

Run 410730

Task 1787 (Supervised Classification) cmc 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
0.6779
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.4057
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.121
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
549.5714
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.4146
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
7365
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4842
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.4754
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.4754
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.9623
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4498
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9693
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
931.7994
UserCPU time millis
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (5 times 2-fold Crossvalidation)