Exam AI-900 topic 1 question 169 discussion

variables or features correct ans is C please update the ans.

Correct answer is Features. Variables would be the only correct substitution.

Of course input is provided by the input >variables<.

it should be C

The variables are the columns in the data table. Variables might represent physical measurements (temperature, velocity,…), personal characteristics (gender, age,…), marketing dimensions (recency, frequency, monetary, etc.), etc. The data set contains information for creating our model. It is a data collection structured as a table in rows and columns. https://www.neuraldesigner.com/learning/tutorials/data-set/#InputVariables So I think it's dataset

n a machine learning model, the data that is used as inputs are called "variables". Variables are the features or attributes of the data that the model uses to make predictions or decisions. They can include numerical values, categorical values, or a combination of both. A dataset is a collection of data that may include multiple variables, but it's not the term used specifically to refer to the inputs of a machine learning model. Labels are the target values or outcomes that the machine learning model is trying to predict. They're used during the training phase to teach the model to associate certain inputs (the variables) with certain outputs (the labels), but they're not the inputs themselves. Therefore, the correct term to complete the sentence "In a machine learning model, the data that is used as inputs are called ________" is "variables". C is thus the answer.

Label is the output

C is the Answer. Labels are the predicted Output

Variables and Features are input

C is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.

You need Variables or Features as input data

C. variables

C, you need features/variables

Features A feature is an input variable

First we need to select Dataset

variables or features correct ans is C please update the ans.

I have tried solution in a web... for me the answer is variables