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Perceptron Bias Term

weighted_sum = x1*w1 + x2*w2 + x3*w3 + 1*wbias

The bias term is an adjustable, numerical term added to a perceptron’s weighted sum of inputs and weights that can increase classification model accuracy.

The addition of the bias term is helpful because it serves as another model parameter (in addition to weights) that can be tuned to make the model’s performance on training data as good as possible.

The default input value for the bias weight is 1 and the weight value is adjustable.

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