Run
227457

Run 227457

Task 1894 (Supervised Classification) mfeat-fourier Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.Logistic(5)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(5)_R1.0E-8
weka.Logistic(5)_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.

22 Evaluation measures

Area under ROC curve
0.88
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7282
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.699
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
14543.42
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0553
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7276
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7291
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7291
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3073
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2249
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7497
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1332.4146
UserCPU time millis
1149110
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1149070
Cross-validation details (10 times 10-fold Crossvalidation)