The following code is used to implement word$2$vec embedding with Gensim:

w$2$v$\_$model $=$ word$2$vec.Word$2$Vec$($sentences $=$ tokenized$\_$corpus,

size $=50,$

window $=10,$

min$\_$count $=5,$

sg $=0,$

sample $=0\mathrm{.}001,$

iter $=100$

$)$

Which of the following statements is FALSE?

a$.$

The dimensionality of the word vectors is $50.$

b$.$

The maximum distance range between the current word and the predicted word is $10.$

c$.$

The words having total frequency count fewer than $5$ will be ignored.

d$.$

The skip$-$gram model will be used to perform word$2$vec embedding.