Run
156274

Run 156274

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 11-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Vote_ZeroR(2)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_ZeroR(2)_RAVG
weka.Vote_ZeroR(2)_S1

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
0.3895
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4007
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2156
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4935
Cross-validation details (10-fold Crossvalidation)
Number of instances
34
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
0.3123
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5588
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9911
Cross-validation details (10-fold Crossvalidation)
Recall
0.5588
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4965
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4988
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0046
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2817