Run
202650

Run 202650

Task 3653 (Supervised Classification) triazines Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.7328
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7199
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4216
Cross-validation details (10-fold Crossvalidation)
KB relative information score
50.0872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3618
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4854
Cross-validation details (10-fold Crossvalidation)
Number of instances
186
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7195
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7204
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.7204
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7454
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4561
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9259
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.454
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training