Run
180036

Run 180036

Task 4628 (Supervised Classification) datatrieve Uploaded 25-02-2015 by Joaquin Vanschoren
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Flow

weka.OLM(3)Arie Ben-David (1992). Automatic Generation of Symbolic Multiattribute Ordinal Knowledge-Based DSSs: methodology and Applications. Decision Sciences. 23:1357-1372.
weka.OLM(3)_R0
weka.OLM(3)_C1
weka.OLM(3)_U0

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
0.5559
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8813
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1439
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
141.4739
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1031
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1601
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1300
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8704
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8969
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4395
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6437
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2784
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3211
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.1533
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1369.9744
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)