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Find out an odd word from the following list of words using the Gensim Word2Vec model. In this case, you need to train your model. Use the following parameters:
from gensim.models import Word2Vec
w2v_model = Word2Vec(min_count=5, window=5, sg=0, vector_size=300, sample=6e-5, negative=20)
Train your model on the Gutenberg corpus. The number of iterations for the model should be equal to 15.
In the input, you get a string of word divided by one space. Your output must be the odd word only.