Write a function that receive two vectors : a vector of the model parameters and a vector corresponding to a sample to be classified. The function returns a 1 or 0. Assume the classifier is a logistic regression classifier. 

The

following model was trained to predict whether a fruit is a pear (0) or apple

(1). The training  samples contain information about the diameter and the two axes ratio for each sample.

All classifiers are described by linear models

Linear regression is a Deep Learning model

A scientist is seeking to calculate the probability of rain for each day in November 2024 in Puerto Rico. Historical data for the same month over the past 10 years is available. Which algorithm would you recommend for this analysis?

Classify the sample  x=(1,0.5) as part of the class 1 or 0. Use a logistic regression classifier for which the hypothesis parameters are: θ₀=3 , θ1=-1 and θ2=0

A two clases problem is solved by using the logistic regression classifier. The hypothesis hh_θ(x) has an argument z = (θ₀+θ1 x₁+θ₂ x₂). The model parameters have been estimated and are equal to: θ₀= 3, θ1 = -1, θ2 = 0. 

Select the figure that represents the decision boundary for this classifier.

The

following model was trained to predict whether a fruit is a pear (0) or apple

(1). The training  samples contain information about the diameter and the two axes ratio for each sample.