Run
25292

Run 25292

Task 90 (Learning Curve) credit-g Uploaded 18-08-2014 by Jan van Rijn
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Flow

weka.Logistic(2)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8

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
0.7827 ± 0.0504
Per class
Build CPU time
0.0367
Build memory
4320526053.9378
F measure
0.7435 ± 0.0428
Per class
Kappa
0.375 ± 0.1062
KB relative information score
0.2441 ± 0.0663
Mean absolute error
0.3115 ± 0.0221
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7407 ± 0.0445
Per class
Predictive accuracy
0.7516 ± 0.0407
Prior entropy
0.8813
Recall
0.7516 ± 0.0407
Per class
Relative absolute error
0.7413 ± 0.0526
Root mean prior squared error
0.4583
Root mean squared error
0.4093 ± 0.0267
Root relative squared error
0.8931 ± 0.0583
SciMark benchmark
1091.8989[680.8121059046156945.0491421636028490.0692977991164930.24837730779732413.3156454772984]