Forecasting the human development index and life expectancy in Latin American countries us

Forecasts for the Human Development Index and life expectancy across Latin American countries for 2015-2020, generated using data mining techniques. The study by Celso Bilynkievycz dos Santos applied the SMOReg algorithm to multivariate time series, finding an average HDI increase of 4.99% and life expectancy increase of 2.65 years for the region. Predictions suggest a higher increase for Latin America compared to the global average.

Use Cases

• Benchmarking forecasting algorithms based on multivariate time series of socio-economic indicators.
• Informing public policy decisions based on predicted trends in human development and life expectancy.
• Comparing predictive quality of data mining techniques against traditional ARIMA models for epidemiological indicators.

Strengths

• The study covers all stages of the knowledge discovery in databases process.
• The SMOReg algorithm was evaluated and performed best during the testing period.
• Provides specific forecast results, including an average HDI increase of 4.99% ± 3.90% and life expectancy increase of 2.65 ± 0.06 years.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and original data scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Celso Bilynkievycz dos Santos via paperswithcode

Collection Method

Data mining techniques applied to multivariate time series, using the SMOReg algorithm.

Time Range

Forecasts for the period 2015-2020.

Geography

Latin American countries