The prediction by perceptron model will be 1
The processing of data by a single neuron, a type of brain cell, serves as the inspiration for the perceptron. Through its dendrites, a neuron responds to incoming signals and transmits the electrical signal to the phone body. Accordingly, the Perceptron receives input signals from preparation-related instances that we weight and consolidate in a straight condition known as the enactment.
activation = sum(weight_i * x_i) + bias where sum(weight_i * x_i) is given as 18
activation = 18 + bias -------------- eq (1)
The actuation is then changed into a result worth or forecast utilizing an exchange work, for example, the progression move work.
prediction = 1.0 if activation >= 0.0 else 0.0
from eq (1) we can say that
prediction = 1.0 because activation >=0.0
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