Run
102598

Run 102598

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.4082
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
632202499.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.5574
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1163
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-9.9979
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2973
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6444
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6444
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0355
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4774
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2713
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4085