Debanjan Datta
Biographic Data
| ID | 4274456 |
|---|---|
| NAME | Debanjan Datta |
| GIVEN NAMES | Debanjan |
| FAMILY NAME | Datta |
| SIGNATURE | DATTA D |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0001-5997-5142 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
Imputing Data for the Fragile Families Challenge
The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…
Imputing Data for the Fragile Families Challenge
The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…
Imputing Data for the Fragile Families Challenge
The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
Mathematics (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Benchmark (surveying) (1 work) · Cohort (1 work) · Computer Science (1 work) · Data set (1 work) · Economics (1 work) · Engineering (1 work) · Financial Literacy, Pension, Retirement Analysis (1 work)