Road crashes severity prediction: an analysis of risk factors in the case study of Rome
Cervellini, Mattia (A.A. 2022/2023) Road crashes severity prediction: an analysis of risk factors in the case study of Rome. Tesi di Laurea in Data analysis for business, Luiss Guido Carli, relatore Francesco Iafrate, pp. 61. [Bachelor's Degree Thesis]
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Abstract/Index
Road accidents worldwide. Road accidents in Italy. Predicting crash severity. Benefits for society. Why Rome. Purpose of this paper. Literature review. Variety of studies. Studies by data subjects. Methodologies applied in previous studies. Synopsis. Methodology. Data description. Data pre-processing. Applied models. Validation. Performance metrics. Analysis. Data exploration. Modelling.
References
Bibliografia: pp. 57-60.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Data analysis for business |
| Thesis Supervisor: | Iafrate, Francesco |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 01 Feb 2024 16:57 |
| Last Modified: | 01 Feb 2024 16:57 |
| URI: | https://tesi.luiss.it/id/eprint/37900 |
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