Classifying lukemia.
We are given a dataset of 166 patients to train our models. Each of the 166 patients has 269 features; an id, 265 predictive features, and 3 dependent target features. The structure of this dataset is described below.
| Column | 0 | 1 - 265 | 266 | 267 | 268 |
|---|---|---|---|---|---|
| Value | id | Predictive Features | resp.simple | Remission_Duration | Overall_Survival |
| Data Types | string | misc. | COMPLETE_REMISSION, RESISTANT | N/A, float | float |
| Description | identification | Described in more detail below | Remission type | Length of remssion in days | Days lived since diagnosis |