• No results found

Variable selection in Logistic regression model with genetic algorithm

N/A
N/A
Protected

Academic year: 2020

Share "Variable selection in Logistic regression model with genetic algorithm"

Copied!
12
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1 Common terms in GA versus biology
Figure 1 Flow chart of genetic algorithms. At the outset, a population of models is created randomly, and they are evaluated for their fitness
Figure 2 The evolutionary process is tracked with plots. The top plot shows the frequency of variables occurred in the selected models
Figure 5 Gene interaction in models. The numbers in the figure represent the order number of variables
+4

References

Related documents

The insured member is responsible for all charges above the $750 / individual or $1,500 / family First Dollar Services amount until the insured member’s maximum calendar

In the case of non-economic well- being indicators, the decline in aggregate inequality in life expectancy, education, and human development did not preclude that, by the dawn of

There was a significant interaction within the factors cutting length x time of the year x IBA concentration with the jabuticabeira of cabinho concerning the rooting (%) (Table 1),

The technology’s many benefits – which include saving travel costs, increasing individual and team productivity, and removing distance as a barrier for getting the right people

(2011) Prevalence and Risk Factors for Vitamin C Deficiency in North and South India: A Two Centre Population Based Study in People Aged 60 Years and Over.. This is an

Inlet systems, and the subsequent planform changes occurring along the Federal Beach barrier spit were ultimately a result of the position of the New Inlet system with respect to

In this work, we evaluated the comparative expressions of proteins in CLL blood cells using a label-free quantification by mass spectrometry and calculated the integrated