Run
100301

Run 100301

Task 272 (Supervised Classification) haberman 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.Logistic(3)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(3)_R1.0E-8
weka.Logistic(3)_M-1

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
0.6428
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.004
Cross-validation details (33% Holdout set)
Build memory
1265633480
Cross-validation details (33% Holdout set)
F measure
0.6585
Per class
Cross-validation details (33% Holdout set)
Kappa
0.0823
Cross-validation details (33% Holdout set)
KB relative information score
4.3831
Cross-validation details (33% Holdout set)
Mean absolute error
0.3598
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3925
Cross-validation details (33% Holdout set)
Number of instances
100
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6514
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.71
Cross-validation details (33% Holdout set)
Prior entropy
0.836
Cross-validation details (33% Holdout set)
Recall
0.71
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9167
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.444
Cross-validation details (33% Holdout set)
Root mean squared error
0.4348
Cross-validation details (33% Holdout set)
Root relative squared error
0.9794
Cross-validation details (33% Holdout set)
SciMark benchmark
942.9279