Run
410655

Run 410655

Task 233 (Supervised Classification) kr-vs-kp Uploaded 01-05-2015 by Joaquin Vanschoren
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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
0.6773
Per class
Cross-validation details (33% Holdout set)
F measure
0.6191
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3381
Cross-validation details (33% Holdout set)
KB relative information score
226.2266
Cross-validation details (33% Holdout set)
Mean absolute error
0.3943
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4984
Cross-validation details (33% Holdout set)
Number of instances
1054
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
0.8018
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6546
Cross-validation details (33% Holdout set)
Prior entropy
0.9986
Cross-validation details (33% Holdout set)
Recall
0.6546
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7911
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4989
Cross-validation details (33% Holdout set)
Root mean squared error
0.4454
Cross-validation details (33% Holdout set)
Root relative squared error
0.8927
Cross-validation details (33% Holdout set)
SciMark benchmark
931.7994
UserCPU time millis
10
UserCPU time millis training
10