Run
265237

Run 265237

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K1
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
0.7973
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7688
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5309
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
434.1077
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2361
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
830
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
0.7694
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7699
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9919
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7699
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4778
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4971
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4696
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9447
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
898.1296