Unanswered Questions
256 questions with no upvoted or accepted answers
8
votes
3
answers
839
views
Chi-square as evaluation metrics for nonlinear machine learning regression models
I am using machine learning models to predict an ordinal variable (values: 1,2,3,4, and 5) using 7 different features. I posed this as a regression problem, so the final outputs of a model are ...
CommunityBot
- 1
5
votes
1
answer
106
views
What ML architecture fits fixed length signal regression?
My problem is of regression type -
How to estimate a fish weight using a fixed-length signal (80 data points) of the change in resistance when the fish swim through a gate with electrodes (basically 4 ...
CommunityBot
- 1
3
votes
0
answers
31
views
suppose 1 category in a variable create data leakage, can we use other categories in the same variable as dummy to predict?
We are predicting conversion. Conversion means customer converted from paying one-off to paying regular (subscribe)
If one feature is categorical feature "Activity" , consisting 15+ ...
- 31
3
votes
3
answers
171
views
Classification when the classification of the previous itens matter
I have a classification problem to solve, that seems to be common but I am struggling to find the name of this task and the best way to model this problem.
Suppose I have a series of events that are ...
CommunityBot
- 1
3
votes
0
answers
2k
views
Forecast Model to Estimate Customer Service Call Volume and Appropriate Staff
I am working on a project to predict the proper staffing needed for a customer service team using historical data.
I am new to machine learning, and I am not sure if my approach to this problem is the ...
3
votes
0
answers
180
views
Dynamic pricing models in freight transportation (logistics) business
I'm not sure this could be an appropriate question for here.
I'm a newbie in the field of data science.
I'm looking for keywords which can guide me to search the results to implement what I want to ...
- 131
3
votes
0
answers
58
views
Making inferences from incomplete data
I have data which have complete information. Each record has one class assigned. On production, I won't be able to get so many information from a user, so I want to create a model which will be able ...
- 71
3
votes
2
answers
650
views
How to treat the undefined values which make sense?
I'm currently trying to create a few features to improve the performances of a model. One of those features that I would like to create corresponds to the difference in days between a customer's ...
CommunityBot
- 1
2
votes
0
answers
30
views
What's wrong with my ML implementation? (from a technical report)
I came across a (short and curt) technical report that claims to be SOTA on keyword spotting, but it didn't share its code and had a very short explanation of its network. I implemented the model, but ...
- 21
2
votes
0
answers
86
views
Learning from label proportions
Can someone please tell me how to implement this algorithm via this paper in simple Python as possible?
I asked for code from the author but got no reply after 7 months of retrying.
EDIT: Added code ( ...
- 153
2
votes
0
answers
613
views
Fine Tune GPT-3 without prompt?
I was wondering if it's possible to fine tune GPT-3 without using the "prompt" and "completion" method as shown in the documentation. More specifically, I want to fine tune a GPT-3 ...
2
votes
0
answers
22
views
How can humans improve machine learning models?
I'm a UX researcher and have begun working on how to improve machine learning models for a new role.
One question I have is how data from humans can be useful for improving a machine learning model. ...
- 21
2
votes
0
answers
113
views
how to improve recall by retraining a model on its feedback
I am creating a supervised model using sensitive and scarce data. For the sake of discussion, I've simiplified the problem statement by assuming that I'm creating a model for identifying dogs.
Let's ...
2
votes
2
answers
771
views
Estimating the uncertainty of regression models
Given a regression model, with n features, how can I measure the uncertainty or confidence of the model for each prediction?
Suppose for a specific prediction the accuracy is amazing, but for another ...
CommunityBot
- 1
2
votes
1
answer
42
views
What is the best Classification Method alternative to Nominal Logistic Regression, if your Response and all Predictor variables are Categorical?
Hy, I need help in choosing the best classification method. My response variable is nominal with "4" categories and five predictor variables, two of them are nominal and three are binary. ...
CommunityBot
- 1