Run
264851

Run 264851

Task 4570 (Supervised Classification) ipums_la_98-small Uploaded 05-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.5831
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8426
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1665
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-7426.5822
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1573
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1891
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
74850
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
0.8424
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8427
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4871
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8427
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8317
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3074
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3966
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.29
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.6247
UserCPU time millis
48500
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
48490
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)