Run
415211

Run 415211

Task 4355 (Supervised Classification) wind_correlations Uploaded 07-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Grading_ZeroR(2)A.K. Seewald, J. Fuernkranz: An Evaluation of Grading Classifiers. In: Advances in Intelligent Data Analysis: 4th International Conference, Berlin/Heidelberg/New York/Tokyo, 115-124, 2001.
weka.Grading_ZeroR(2)_Mtrue
weka.Grading_ZeroR(2)_X10
weka.Grading_ZeroR(2)_S1
weka.Grading_ZeroR(2)_num-slots1

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
0.4407
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4286
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.1194
KB relative information score
-50.3398
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.5556
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4998
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
450
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4341
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4444
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9997
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4444
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.1116
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.7454
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.4911
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
922.8232
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)