Run
102964

Run 102964

Task 3685 (Supervised Classification) chatfield_4 Uploaded 08-12-2014 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(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.829
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
281317668.0851
Cross-validation details (10-fold Crossvalidation)
F measure
0.8405
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
154.9666
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1607
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4784
Cross-validation details (10-fold Crossvalidation)
Number of instances
235
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8425
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8426
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9689
Cross-validation details (10-fold Crossvalidation)
Recall
0.8426
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3358
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.489
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.395
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8077
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.8995