What machine learning/deep learning technique to use for a data set consisting of 2D plane [closed]

I'm new to machine learning/deep learning field. In an assignment I've been given a data set of 1000 data points. Each data point is a 2D place of dimension 1024 x 1024. In each plane there are some points marked as class-0 (x) and some points marked as class-1 (o). A simple diagram below.

data point #1

(0,1024)                          (1024,1024)
|--------------------------------|
|          x                     |
|        xx                      |
|         x                      |
|        x    o                  |
|              x                 |
|         x      x               |
|                  o             |
|                                |
|                                |
|                                |
----------------------------------
(0,0)                           (1024,0)

data point #2

(0,1024)                          (1024,1024)
|--------------------------------|
|                                |
|        xo                      |
|         o                      |
|        x                       |
|                                |
|         x                      |
|                  o             |
|                   xxx          |
|                                |
|                                |
----------------------------------
(0,0)                           (1024,0)

etc.

We know the Cartesian coordinate (x,y) of each labeled point.

What ML/DL technique should I use to make prediction for unlabeled data point like this.

unknown data point

(0,1024)                          (1024,1024)
|--------------------------------|
|          .                     |
|        ..                      |
|         .                      |
|        .                       |
|       .                        |
|      .                         |
|                  .             |
|                                |
|                ..              |
|               .                |
----------------------------------
(0,0)                           (1024,0)

Any help is appreciated.

closed as unclear what you're asking by Michael Chernick, Frans Rodenburg, Siong Thye Goh, mdewey, SycoraxJun 5 at 19:36

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• What attributes of the input would allow you to determine whether a sample is class 1 or class 0? Distance from some marker? Vertical or horizontal position? Something else? Do you know that there is a relationship between the information you have and class membership? – Sycorax Jun 1 at 21:22