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.