Run
203117

Run 203117

Task 4325 (Supervised Classification) fri_c0_100_5 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

0.9494
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8463
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6905
Cross-validation details (10 times 10-fold Crossvalidation)
585.3658
Cross-validation details (10 times 10-fold Crossvalidation)
0.2167
Cross-validation details (10 times 10-fold Crossvalidation)
0.4969
Cross-validation details (10 times 10-fold Crossvalidation)
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8538
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.848
Cross-validation details (10 times 10-fold Crossvalidation)
0.9956
Cross-validation details (10 times 10-fold Crossvalidation)
0.848
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4361
Cross-validation details (10 times 10-fold Crossvalidation)
0.4984
Cross-validation details (10 times 10-fold Crossvalidation)
0.3125
Cross-validation details (10 times 10-fold Crossvalidation)
0.627
Cross-validation details (10 times 10-fold Crossvalidation)
933.3136
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)