Prototype
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Data
Data Parameters
Impute Missing Data
Prediction Model
Algorithm
AODE (Averaged One-Dependence Estimator)
ATAN (Averaged Tree-Augmented Networks Estimator)
TAN (Tree-Augmented Network Estimator)
NDE (No Dependence Estimator)
Algorithm Parameters
Evaluate domain at n linearly spaced points :
128
256
512
1024
Apply Friedman's supersmooth algorithm
Apply constrain
Univariate Predictive Analysis
Binarized Correlation Analysis
Select Variables
Learn a New Model
Computational Validation Method
10-Fold CV
Simulated 10-Fold CV (Experimental)
Re-Substitution
Create Model
Feature Agglomeration
Validation Results
Predictors
Parameters
Plot
Target Age-at-Death Distribution
Prior Distribution
Uniform
Predictive Model Reference Data
Gompertz Mortality Model
Gompertz Distribution Parameters
Alpha Parameter
Beta Parameter
Estimated Age-at-Death