$18]$: $1$ import numpy as $np$

from sklearn.neighbors import KNeighborsClassifier

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

if $k0$ :

raise ValueError$("$k must be a positive integer greater than $0.")$

# Create and train the KNN model

model $=$ KNeighborsClassifier$($n$\_$neighbors$=$k$)$

model.fit$($X$\_$train, y$\_$train$)$

return model

# Example usage:

x$\_$train $=$ np$\mathrm{.}18]$: $1$ import numpy as $np$

from sklearn.neighbors import KNeighborsClassifier

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

if $k0$ :

raise ValueError$("$k must be a positive integer greater than $0.")$

# Create and train the KNN model

model $=$ KNeighborsClassifier$($n$\_$neighbors$=$k$)$

model.fit$($X$\_$train, y$\_$train$)$

return model

# Example usage:

x$\_$train $=$ np$.$array $(\left[\begin{array}{cc}6& 5\\ 3& 4\\ 20& 9\end{array}\right])$

y$\_$train $=$ np$.$array $([,1,])$

model $=$ create$\_$and$\_$train$\_$knn$\_$model$($x$\_$train, y$\_$train, k$=3)$array $(\left[\begin{array}{cc}6& 5\\ 3& 4\\ 20& 9\end{array}\right])$

y$\_$train $=$ np$.$array $([,1,])$

model $=$ create$\_$and$\_$train$\_$knn$\_$model$($x$\_$train, y$\_$train, k$=3)$

please explain the following code and correct it and show the output