| Title |
Carter, Anthony_MCS_2020 |
| Alternative Title |
Applying Machine Learning to Predicting Human Life Expectancy, and Distance from Birth Location to Death's Location Using Genealogical Data |
| Creator |
Carter, Anthony |
| Collection Name |
Master of Computer Science |
| Description |
I focused on the following research questions: can I predict better than the majority class for the following questions: will a person reach adulthood, or predict within reasonable bounds of a person at their age at time of death? How about the distance from the location of their birth to their location of death? Finally, for the previous questions, does having generational information about a person's parents and grandparents make the prediction more accurate or is family history a non-important factor? I used multiple machine learning algorithms for these predictions based on if it is a classification prediction. For example, I used regression prediction for the question on if a person reaching adulthood and for the questions about the age at time of death and distance from the location of birth to location of death. For classification, I used decision trees, knearest neighbor, naïve Bayes, and neural networks. For regression, I used linear regression, regression tree, and neural networks. I show that for classification, I am capable of getting within several percentage points away from beating the majority class but was always fall short. For regression, I am not capable reducing the root mean square error to be less than 20% of the mean result. |
| Subject |
Computer science |
| Keywords |
Family history; Machine learning algorithms |
| Digital Publisher |
Stewart Library, Weber State University |
| Date |
2020 |
| Language |
eng |
| Rights |
The author has granted Weber State University Archives a limited, non-exclusive, royalty-free license to reproduce their theses, in whole or in part, in electronic or paper form and to make it available to the general public at no charge. The author retains all other rights. |
| Source |
University Archives Electronic Records; Master of Computer Science. Stewart Library, Weber State University |
| Format |
application/pdf |
| ARK |
ark:/87278/s6qe37wc |
| Setname |
wsu_smt |
| ID |
96826 |
| Reference URL |
https://digital.weber.edu/ark:/87278/s6qe37wc |
