Run
547461

Run 547461

Task 3795 (Supervised Classification) fri_c4_100_50 Uploaded 05-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K2
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
0.5292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0712
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.9862
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4703
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.5485
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.52
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10-fold Crossvalidation)
Recall
0.52
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9541
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5811
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1707
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1840.6094