Skip to main content

All Questions

Tagged with
Filter by
Sorted by
Tagged with
0 votes
0 answers
10 views

How do nonlinear relationships affect casuality determination

Let's assume that I have only one independent variable and one dependent, and I have a great model with minimal error which deals well with predicting. Let's also assume that I do no know the true ...
Igor's user avatar
  • 303
0 votes
1 answer
50 views

Machine Learning Algorithm for identifying the factors contributing to academic performance of students

I have a dataset with several qualitative and quantitative attributes, including age, location (longitude, latitude), city, parent occupation, family size, GPA etc. My task is to find the attributes/...
Dawood Ahmad's user avatar
0 votes
0 answers
20 views

Predict outputs based on a variable subset of inputs

To simplify this: I have 5 columns in my dataset -> A, B, C, D and E. I want the neural network to predict the rest of the outputs based on a subset of inputs. For example: Case #1 Inputs -> (A) ...
Sam's user avatar
  • 1
1 vote
0 answers
41 views

Why "Good Model" that performs great on holdout validation data fails on production data

I have this binary regression model that has ~500 futures with an unbalanced dataset with the following results. ...
Newbie's user avatar
  • 23
1 vote
1 answer
313 views

How to handle out-of-bound values in Production data?

So I have this model but the data may vary. And it is virtually impossible to always have the values in bounds. If I do I`d have to use larger period leading to concept shift which is worse. The ...
Newbie's user avatar
  • 23
1 vote
0 answers
311 views

How to train a machine learning model with multiple attributes and one target value?

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 ...
imageprocessingproblem's user avatar
1 vote
1 answer
101 views

When is adding a feature useless?

I'm building a model, where, from a feature set A, I want to predict a target set C. I need to understand if another feature set B, together with A, can improve my model performances, instead of using ...
Cla's user avatar
  • 23