Run
300468

Run 300468

Task 90 (Learning Curve) credit-g Uploaded 17-03-2015 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
0.7827 ± 0.0504
Per class
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_75, amd64, Linux, 3.16.0-29-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
1343.0748
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90