Run
410932

Run 410932

Task 3064 (Supervised Classification) aids 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
0.3083
Per class
Cross-validation details (33% Holdout set)
F measure
0.4808
Per class
Cross-validation details (33% Holdout set)
KB relative information score
0.5774
Cross-validation details (33% Holdout set)
Mean absolute error
0.4875
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.5
Cross-validation details (33% Holdout set)
Number of instances
16
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3906
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.625
Cross-validation details (33% Holdout set)
Prior entropy
1
Cross-validation details (33% Holdout set)
Recall
0.625
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.975
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5
Cross-validation details (33% Holdout set)
Root mean squared error
0.5007
Cross-validation details (33% Holdout set)
Root relative squared error
1.0014
Cross-validation details (33% Holdout set)
SciMark benchmark
931.7994
UserCPU time millis
10
UserCPU time millis training
10