The data set in the file $$data$.$txt$$ contains $300$ observations for $4$ input variables $($Con$\_1,$ Con$\_2,$ Con$\_3,$

and Con$\_4)$ and an output variable $($Rejects$).$ The first column $$No$$ is simply an identifier. The table

below reproduces the first $4$ observations:

No Con$\_1$ Con$\_2$ Con$\_3$ Con$\_4$ Rejects

$153\mathrm{.}3910\mathrm{.}524\mathrm{.}8201\mathrm{.}88$

$246\mathrm{.}2315\mathrm{.}135\mathrm{.}3102\mathrm{.}13$

$342\mathrm{.}8518\mathrm{.}793\mathrm{.}5902\mathrm{.}66$

$453\mathrm{.}0918\mathrm{.}333\mathrm{.}6702\mathrm{.}03$

Train a back$-$propagation neural network on approximately $80\%$ of the observations, randomly selected.

Test the trained network using the remaining $20\%$ observations.

I am trying to write it in python