The function should return the trained KNN model, which is trained onn the input training data and with the input value of $k.$

In $[]$: def create$\_$and$\_$train$\_$knn$\_$model$($x$\_$train, y$\_$train, $k=1)$:

Creates and trains a K$-$Nearest Neighbors $($KNN$)$ model.

Parameters:

X$\_$train: $2$D array of training features.

y$\_$train: $10$ array of training labels.

$k$ : Integer, number of neighbors $($default: $1).$

Returns:

Trained KNN model.

$""."$

# Initialize the KNN model with $k$ neighbors

# Train the model with $x_{-}$train and $y_{-}$train

# Return the trained model

return model

# Example usage:

# model $=$ create$\_$and$\_$train$\_$knn$\_$model $($x$\_$train, $\{$:$y_{-}$train,$k=5)$