Run
550717

Run 550717

Task 3942 (Supervised Classification) tumors_C Uploaded 09-04-2016 by Jan van Rijn
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)_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
0.5916
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6066
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1579
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5486
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4438
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.6183
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0556
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1056.7632
UserCPU time millis
600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)