Run
546182

Run 546182

Task 3738 (Supervised Classification) rabe_131 Uploaded 04-04-2016 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)_K5
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
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9006
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7987
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.4545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1471
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4877
Cross-validation details (10-fold Crossvalidation)
Number of instances
50
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9077
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9829
Cross-validation details (10-fold Crossvalidation)
Recall
0.9
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3017
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2908
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5893
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1873.1108
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)