Match each of the supervised learning models below with the most commonly used loss function (Le. the function we want to minimize) for training a model of that type. Polynomial regression models v [Choose ] Polynomial Adjusted Rand Index (ARI) Mean square error (MSE) Sigmoid/logistic function ReLU Logistic regression models Softmax Cross entropy R-squared « Previous Accuracy Rate

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
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Match each of the supervised learning models below with the most commonly used loss function (i.e. the function
we want to minimize) for training a model of that type.
Polynomial regression models
v [Choose ]
Polynomial
Adjusted Rand Index (ARI)
Mean square error (MSE)
Logistic regression models
Sigmoid/logistic function
RELU
Softmax
Cross entropy
R-squared
« Previous
Accuracy Rate
Ne
Transcribed Image Text:Match each of the supervised learning models below with the most commonly used loss function (i.e. the function we want to minimize) for training a model of that type. Polynomial regression models v [Choose ] Polynomial Adjusted Rand Index (ARI) Mean square error (MSE) Logistic regression models Sigmoid/logistic function RELU Softmax Cross entropy R-squared « Previous Accuracy Rate Ne
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