Suppose you come up with a regression model F that predicts the price of a house based on $12$ features. Shown above is the shap analysis summary plot of the $12$ features on a testing set.

Indicate which of the $4$ houses most likely has the highest price.

Features House$1$ House$2$ House$3$ House $4$

$\%$ Working Class $-1-0\mathrm{.}50\mathrm{.}51$

number of rooms$10\mathrm{.}50-1$

NOX concentration $111$

remoteness $1111$

crime rate $1111$

$\%$ built before $19401111$

tax rate $1111$

pupil$-$teacher ratio $1111$

connectedness $1111$

$\%$ industrial zone $1111$

$\%$ residential zone $1111$

Charles river $1111$realuite value