Body: <p>I'm working on a machine learning problem where I need to guess which customers will churn and which of them will continue to be customers.</p>
  <p>I have <span class="math-container">$X_0, X_1, X_2, X_3, X_4, X_5$</span> and <span class="math-container">$X_6$</span> attributes representing if they have credit cards, if they are active customers, if they have money in their accounts, etc. So, according to these multiple <span class="math-container">$X$</span> values and the target value <span class="math-container">$Y$</span>, which is either <span class="math-container">$0$</span> or <span class="math-container">$1$</span>, I need to develop a model that can do the prediction.</p>
  <p>I have always worked with only one <span class="math-container">$X$</span> attribute and one target value <span class="math-container">$Y$</span>. Right now, I'm confused about how I should work with multiple <span class="math-container">$X_n$</span> values.</p>
  <p>Any help is appreciated.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T10:29:30.997Z
Comments.Text: What have you tried so far? How does your model work right now? For a neural network, all you have to do is increase the number of input neurons.
Comments.UserDisplayName: S2673
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T10:51:22.770Z
Comments.Text: Thank you @S2673, but since I didn't know how to use multiple X values I was doing a research on how to do it. And I haven't tried neural networks.
Comments.UserDisplayName: imageprocessingproblem
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T11:06:55.883Z
Comments.Text: So how does your model work right now?
Comments.UserDisplayName: S2673
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T11:26:49.397Z
Comments.Text: I don't have a model because I don't get the idea of how to use multiple input attributes and obtain one target attribute. If I can understand what technique I should use theoretically I can build a model.
Comments.UserDisplayName: imageprocessingproblem
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T12:10:46.193Z
Comments.Text: You should probably be using a neural network. There are a bunch of places online where you can learn about it. How did your model using one X and one Y work?
Comments.UserDisplayName: S2673
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-05-11T13:08:45.707Z
Comments.Text: Thank you I'll definitely look into neural networks! @S2673
Comments.UserDisplayName: imageprocessingproblem
Tags: <machine-learning><prediction><features><binary-classification>
Title: How to train a machine learning model with multiple attributes and one target value?
UserDisplayName: imageprocessingproblem
ThreadText: # How to train a machine learning model with multiple attributes and one target value?
  
  (Asked by: username_0 on 2021-05-11)
  
  I'm working on a machine learning problem where I need to guess which customers will churn and which of them will continue to be customers.
  
  I have $X\_0, X\_1, X\_2, X\_3, X\_4, X\_5$ and $X\_6$ attributes representing if they have credit cards, if they are active customers, if they have money in their accounts, etc. So, according to these multiple $X$ values and the target value $Y$, which is either $0$ or $1$, I need to develop a model that can do the prediction.
  
  I have always worked with only one $X$ attribute and one target value $Y$. Right now, I'm confused about how I should work with multiple $X\_n$ values.
  
  Any help is appreciated.
  
  **Tags:** machine-learning, prediction, features, binary-classification
  > **Comments:**
  > **username_1**: What have you tried so far? How does your model work right now? For a neural network, all you have to do is increase the number of input neurons.  
  > **username_0**: Thank you @S2673, but since I didn't know how to use multiple X values I was doing a research on how to do it. And I haven't tried neural networks.  
  > **username_1**: So how does your model work right now?  
  > **username_0**: I don't have a model because I don't get the idea of how to use multiple input attributes and obtain one target attribute. If I can understand what technique I should use theoretically I can build a model.  
  > **username_1**: You should probably be using a neural network. There are a bunch of places online where you can learn about it. How did your model using one X and one Y work?  
  > **username_0**: Thank you I'll definitely look into neural networks! @S2673  
  
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  ## 0 answers
  
  