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from sklearn.datasets import load _ iris import numpy as np from sklearn.model _ selection import train _ test _ split iris = load _ iris
from sklearn.datasets import loadiris import numpy as np from sklearn.modelselection import traintestsplit iris loadiris feature irisdata: ans iris.target: Xtrain, Xtest, ytrain, ytest traintestsplitfeature ans, testsize randomstate Feature values are petal length, petal width, calyx length, and calyx width. Ans value is the variety of flowers : setosa, :versicolorData for Learning: Xtrain, ytrain Data for testing: Xtest, ytest my question : Plz complete the code to train the artificial neural network and the code that outputs accuracy when verifying its performance accuracy: the percentage of predictions correct out of test samples and Other than the package written on the top, you shouldn't use any other packages
from sklearn.datasets import loadiris
import numpy as np
from sklearn.modelselection import traintestsplit
iris loadiris
feature irisdata:
ans
iris.target:
Xtrain, Xtest, ytrain, ytest traintestsplitfeature ans, testsize randomstate
Feature values are petal length, petal width, calyx length, and calyx width.
Ans value is the variety of flowers : setosa, :versicolorData for Learning: Xtrain, ytrain
Data for testing: Xtest, ytest
my question
: Plz complete the code to train the artificial neural network and the code that outputs accuracy when verifying its performance
accuracy: the percentage of predictions correct out of test samples and Other than the package written on the top, you shouldn't use any other packages
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