Run
532587

Run 532587

Task 3905 (Supervised Classification) mc2 Uploaded 05-03-2016 by Martijn Post
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_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
0.5959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6592
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2032
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.8368
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3285
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4381
Cross-validation details (10-fold Crossvalidation)
Number of instances
161
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.654
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6708
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9099
Cross-validation details (10-fold Crossvalidation)
Recall
0.6708
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4676
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5659
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2101
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1806.5905
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)