Random Forest Analysis of Kill In Action rate for every personnel in gundam world, like in Titanic.
A JupyterLab-based machine learning project for predicting whether a Gundam character is killed in war or armed conflict.
This repository is designed for exploratory analysis, GitHub publication, and reproducible local execution with Docker Compose.
| Item | Value |
|---|---|
| Rows | 891 |
| Original columns | 12 |
| Target column | Survived |
| Survival labels | 0 = did not survive, 1 = survived |
| Non-survivors | 549 |
| Survivors | 342 |
| Male passengers | 577 |
| Female passengers | 314 |
| 1st class passengers | 216 |
| 2nd class passengers | 184 |
| 3rd class passengers | 491 |