Oracle Exam 1Z0-1096-22 Topic 1 Question 17 Discussion

Actual exam question for Oracle's 1Z0-1096-22 exam

Question #: 17
Topic #: 1

You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.

Which three algorithms can you use to produce such a model with Oracle Machine Learning?

AGeneralized Linear Model (Regression)

BSupport Vector Machine (Regression)

CExplicit Semantic Analysis

DOne-Class Support Vector Machine

EGeneralized Linear Model (Classification)

FNeural Networks (Regression)

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Suggested Answer: A, C, D

by Fernanda at Apr 21, 2023, 05:05 PM

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ANSWAR MAGO

2 years ago

Generalized Linear Model (Regression): The Generalized Linear Model (GLM) is an adaptable algorithm that can handle a broad range of regression problems. It allows for the modeling of the relationship between the target variable (house price) and the predictor variables (number of rooms, square footage, location, etc.) by assuming a suitable distribution for the target variable. GLM can be used to capture linear and non-linear relationships between the predictors and the target variable, making it a flexible choice for building a predictive model for house price estimation.

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