Which of the following are machine learning models that can solve classification problems directly (without modifications or combination with other models/methods)? Select all that apply. random forest k-nearest neighbor classification linear regression polynomial regression O gradient descent mini-batch stochastic gradient descent ridge regression decision tree stochastic gradient descent over-fitting multi-class logistic regression regularization image convolution LASSO regression

Which of the following are machine learning models that can solve classification problems directly (without modifications or combination with other models/methods)? Select all that apply. random forest k-nearest neighbor classification linear regression polynomial regression O gradient descent mini-batch stochastic gradient descent ridge regression decision tree stochastic gradient descent over-fitting multi-class logistic regression regularization image convolution LASSO regression

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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