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Done:-

  • Converted population dataset values from string to numbers using python script
  • extracted WCDE data and added in datasets

To Do:-

  • Find the common countries from the datasets.

    • a) Either add the missing countries to the datasets.
    • b) Remove the missing countries from the remaining datasets.

  • Build a 3D Numpy array containing countries, years and development factors as axis.

  • Create new Numpy arrays containg outputs(From year 2000) : Life Expectancy, GDP, Education(Level of education for ages below 40years).

  • Build a Decision Tree and Random Forest for the given inputs and outputs.

  • Measure the accuracy.

  • Explore different possible algorithms and measure the accuracy.

To Try:

  • First build model using decision trees & random forests and then on top of it use XGBoost algorithm.

Assumptions about how to use data

1 - gdp - 20 yrs old 2 - gdp today - current 3 - edu level - current 4 - life exp - current 5 - tfr - current

to predict gdp use 1,3,4,5

to predict life exp use

to predict edu level use 1,2,4,5

conclusions

for life exp :

Input Features (10): 20-24-In_Primary_OL 20-24-Primary_OL 20-24_female-In_Primary_OL 20-24_female-Primary_OL children_per_woman co2_emissions_percapita gdppercapita_us_infla_adjust gdppercapita_us_infla_adjust_20years_before gini_index population

No weights

Variable Importance: MEAN_MIN_DEPTH: 1. "__LABEL" 11.748073 ################ 2. "20-24-In_Primary_OL" 8.435553 ########## 3. "gdppercapita_us_infla_adjust_20years_before" 8.204703 ########## 4. "20-24-Primary_OL" 8.201590 ########## 5. "population" 7.950396 ######### 6. "20-24_female-In_Primary_OL" 7.526676 ######### 7. "gini_index" 6.886902 ######## 8. "co2_emissions_percapita" 6.415726 ####### 9. "20-24_female-Primary_OL" 4.550530 #### 10. "gdppercapita_us_infla_adjust" 4.374326 #### 11. "children_per_woman" 1.636202

Variable Importance: NUM_AS_ROOT: 1. "children_per_woman" 162.000000 ################ 2. "20-24_female-Primary_OL" 80.000000 ####### 3. "20-24_female-In_Primary_OL" 33.000000 ### 4. "20-24-Primary_OL" 19.000000 # 5. "20-24-In_Primary_OL" 4.000000 6. "co2_emissions_percapita" 2.000000

Variable Importance: NUM_NODES: 1. "population" 36720.000000 ################ 2. "children_per_woman" 30047.000000 ########### 3. "gini_index" 29553.000000 ########## 4. "co2_emissions_percapita" 29364.000000 ########## 5. "gdppercapita_us_infla_adjust" 26217.000000 ######## 6. "20-24_female-Primary_OL" 22638.000000 ##### 7. "20-24-Primary_OL" 22571.000000 ##### 8. "20-24-In_Primary_OL" 21055.000000 #### 9. "20-24_female-In_Primary_OL" 20982.000000 #### 10. "gdppercapita_us_infla_adjust_20years_before" 15031.000000

Variable Importance: SUM_SCORE: 1. "children_per_woman" 75641785.408594 ################ 2. "20-24_female-Primary_OL" 40126555.632186 ######## 3. "20-24_female-In_Primary_OL" 17116219.578391 ## 4. "gdppercapita_us_infla_adjust" 13846413.411122 ## 5. "20-24-Primary_OL" 11449256.273094 # 6. "co2_emissions_percapita" 7882773.026798 7. "gini_index" 6738826.165506 8. "20-24-In_Primary_OL" 5908146.456876 9. "population" 5634153.466150 10. "gdppercapita_us_infla_adjust_20years_before" 4008216.953797

for gdp

Input Features (10): 20-24-In_Primary_OL 20-24-Lower_Secondary_OL 20-24-Primary_OL 20-24_female-In_Primary_OL 20-24_female-Lower_Secondary_OL 20-24_female-Primary_OL child_mortality children_per_woman infant_mortality life_expectancy

No weights

Variable Importance: MEAN_MIN_DEPTH: 1. "__LABEL" 11.751111 ################ 2. "20-24_female-Lower_Secondary_OL" 9.493809 ########### 3. "20-24_female-Primary_OL" 8.810090 ########## 4. "20-24-Lower_Secondary_OL" 8.391004 ######### 5. "20-24-Primary_OL" 7.763451 ######## 6. "20-24_female-In_Primary_OL" 7.448441 ######## 7. "children_per_woman" 6.126549 ##### 8. "20-24-In_Primary_OL" 5.785711 ##### 9. "life_expectancy" 3.621421 # 10. "child_mortality" 3.167948 11. "infant_mortality" 2.808860

Variable Importance: NUM_AS_ROOT: 1. "infant_mortality" 132.000000 ################ 2. "child_mortality" 95.000000 ########### 3. "life_expectancy" 49.000000 ##### 4. "children_per_woman" 20.000000 ## 5. "20-24-Lower_Secondary_OL" 3.000000 6. "20-24-In_Primary_OL" 1.000000

Variable Importance: NUM_NODES: 1. "children_per_woman" 24506.000000 ################ 2. "life_expectancy" 22347.000000 ########### 3. "20-24-Lower_Secondary_OL" 18848.000000 #### 4. "infant_mortality" 18306.000000 ## 5. "20-24-In_Primary_OL" 17999.000000 ## 6. "20-24_female-Primary_OL" 17742.000000 # 7. "20-24-Primary_OL" 17716.000000 # 8. "20-24_female-In_Primary_OL" 17521.000000 # 9. "child_mortality" 17518.000000 # 10. "20-24_female-Lower_Secondary_OL" 16923.000000

Variable Importance: SUM_SCORE: 1. "infant_mortality" 74093519586886.921875 ################ 2. "child_mortality" 60043676559816.781250 ############ 3. "life_expectancy" 42885140679562.875000 ######## 4. "children_per_woman" 23165564427439.730469 ### 5. "20-24-In_Primary_OL" 20282913399155.054688 ## 6. "20-24_female-In_Primary_OL" 11864886581614.328125 7. "20-24-Primary_OL" 11770260186435.292969 8. "20-24-Lower_Secondary_OL" 11642564224051.107422 9. "20-24_female-Primary_OL" 11333289924165.910156 10. "20-24_female-Lower_Secondary_OL" 8461745170503.916992

for TFR

Input Features (11): 20-24-In_Primary_OL 20-24-Lower_Secondary_OL 20-24-Primary_OL 20-24_female-In_Primary_OL 20-24_female-Lower_Secondary_OL 20-24_female-Primary_OL child_mortality co2_emissions_percapita gdppercapita_us_infla_adjust infant_mortality life_expectancy

No weights

Variable Importance: MEAN_MIN_DEPTH: 1. "__LABEL" 11.546172 ################ 2. "20-24-Lower_Secondary_OL" 8.386103 ########## 3. "gdppercapita_us_infla_adjust" 7.900018 ######### 4. "20-24-In_Primary_OL" 7.662158 ######### 5. "co2_emissions_percapita" 7.205872 ######## 6. "infant_mortality" 6.946104 ######## 7. "20-24_female-Primary_OL" 6.699026 ####### 8. "20-24-Primary_OL" 6.621430 ####### 9. "20-24_female-In_Primary_OL" 6.236713 ####### 10. "20-24_female-Lower_Secondary_OL" 5.893409 ###### 11. "life_expectancy" 5.699302 ###### 12. "child_mortality" 2.104864

Variable Importance: NUM_AS_ROOT: 1. "child_mortality" 132.000000 ################ 2. "life_expectancy" 75.000000 ######## 3. "20-24_female-Lower_Secondary_OL" 46.000000 ##### 4. "infant_mortality" 21.000000 ## 5. "20-24_female-Primary_OL" 13.000000 # 6. "20-24_female-In_Primary_OL" 11.000000 # 7. "20-24-Lower_Secondary_OL" 2.000000

Variable Importance: NUM_NODES: 1. "co2_emissions_percapita" 28772.000000 ################ 2. "gdppercapita_us_infla_adjust" 24929.000000 ######### 3. "child_mortality" 24906.000000 ######### 4. "life_expectancy" 24641.000000 ######### 5. "infant_mortality" 21105.000000 ### 6. "20-24-Primary_OL" 21091.000000 ## 7. "20-24_female-In_Primary_OL" 20797.000000 ## 8. "20-24-Lower_Secondary_OL" 20535.000000 ## 9. "20-24-In_Primary_OL" 20270.000000 # 10. "20-24_female-Lower_Secondary_OL" 19691.000000 11. "20-24_female-Primary_OL" 19327.000000

Variable Importance: SUM_SCORE: 1. "child_mortality" 2838314.599651 ################ 2. "life_expectancy" 1369686.701397 ####### 3. "20-24_female-Lower_Secondary_OL" 971060.329765 #### 4. "infant_mortality" 456502.873180 # 5. "20-24_female-Primary_OL" 445062.047823 # 6. "20-24_female-In_Primary_OL" 412629.566524 # 7. "20-24-Primary_OL" 239204.569304 8. "co2_emissions_percapita" 210337.541091 9. "20-24-Lower_Secondary_OL" 170576.178026 10. "20-24-In_Primary_OL" 148695.687245 11. "gdppercapita_us_infla_adjust" 135042.309842