Predict tree type on the testing data with 90% accuracy use only neural network methods.

given code

from sklearn.datasets import fetch_covtype

trees=fetch_covtype(random_state=26,shuffle=True)

import random

random.seed(26)

from sklearn.model_selection import train_test_split

import numpy as np

X_train, X_test, y_train, y_test = train_test_split(trees.data, trees.target, test_size=0.2, random_state=26)

import tensorflow as tf