Question: When using gradient descent to train a linear classifier, why don't we use accuracy as a loss function? Which of these options and why? It

When using gradient descent to train a linear classifier, why don't we use accuracy as a loss function? Which of these options and why?

It is only reliable in situations with high class imbalance.

The confidence interval is high on small test sets.

It causes the loss landscape to be flat almost everywhere

It makes the loss zero almost everywhere.

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

Q:

When using gradient descent to train a linear classifier, why don't we use accuracy as a loss function? Which of these options and why? It is only reliable in situations with high class imbalance....

Q:

Solve all parts with code The google colab code/file is : { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Linear Regression for Red Wine Quality Classification" ] }, {...

Q:

CAN YOU SOLVE BOTH PARTS WITH ACTUAL CODE IN GOOGLE COLAB USING THE . ipynb file copied and pasted below! { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Linear Regression for...

Q:

use Python. please answer all parts what information do you need? what info do you need? Problem 3) Gradient descent learning in Python: 1) Create class NeuralNetworko: that creates a single neuron...

Q:

import numpy as np from scipy.optimize import minimize from scipy.io import loadmat from numpy.linalg import det, inv from math import sqrt, pi import scipy.io import matplotlib.pyplot as plt import...

Q:

CS 7641 CSE/ISYE 6740 Homework 3 Le Song Deadline: 11/07 Mon, 11:55pm Submit your answers as an electronic copy on T-square. No unapproved extension of deadline is allowed. Zero credit will be...

Q:

4 . 2 If we keep the hidden layer parameters above fixed but add and train additional hidden layers ( applied after this layer ) to further transform the data, could the resulting neural network...

Q:

Problem) Gradient descent learning in Python: 1. a) Create class NeuralNetwork(): that creates a single neuron with a linear activation, train it using gradient descent learning. This class should...

Q:

n this programming assignment, please write codes from scratch ( do not use preexisting libraries from anywhere ) for ( 1 ) linear models and ( 2 ) gradient descent algorithm. Task 1 . Classifying...

Q:

MATHEMATICS FOR MACHINE LEARNING Marc Peter Deisenroth A. Aldo Faisal Cheng Soon Ong Contents Foreword 1 Part I Mathematical Foundations 9 1 Introduction and Motivation 11 1.1 Finding Words for...

Q:

There is a stock that pays a fixed dividend of $40 at the end of each month, and there is another stock that pays a quarterly dividend of $20. If the prices of the two stocks are currently equal at...

Q:

Brook wanted to rob the First National Bank located in Newport Beach, Orange County, California. When Hurst found out about Brook's plan, Hurst asked to join in too as long as no weapons were going...

Q:

Rather than take an accounting class, Icarus enrolled in a marketing class at the local community college before starting his landscape business. He decided that his time would be better utilized in...

Q:

which of the following statements about financial metrics is NOT a factor that an HR proffesional should take into account in devising a compensation program for employees

Q:

3. Why are mobile phone users much more likely to book same-day hotel room or airline reservations? When it comes to mobile apps and gauging their impact on consumers and business, the online travel...

Q:

3. How has e-commerce transformed marketing?

Q:

2. Explain how Pandoras freemium business model works. How does the company generate revenue? Pandora is the Internets most successful subscription radio service. In May 2014, Pandora had 77 million...