As we all know in the present, the life expectancy rate for rich nations is becoming better as compared to that for poor countries, to measure the impact of various parameters on the rate of life expectancy. We are working on analyzing the “Kumar Rajarshi” Life Expectancy (WHO) dataset. The dataset consists of various attributes through which we can find better results in poor countries. The measure of life expectancy provides very crucial information about health at a given population level, which can be used to apply in government policies to help its people in the best way. This chapter aims to make people grow in a more comfortable zone than their earlier generations.

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Optimizing Life Expectancy Rate Using Different Regression Models

  • Rishav Prajapati,
  • Harsh Sharma,
  • Rohan Gupta,
  • Parneeta Dhaliwal

摘要

As we all know in the present, the life expectancy rate for rich nations is becoming better as compared to that for poor countries, to measure the impact of various parameters on the rate of life expectancy. We are working on analyzing the “Kumar Rajarshi” Life Expectancy (WHO) dataset. The dataset consists of various attributes through which we can find better results in poor countries. The measure of life expectancy provides very crucial information about health at a given population level, which can be used to apply in government policies to help its people in the best way. This chapter aims to make people grow in a more comfortable zone than their earlier generations.