All Questions
10 questions
3
votes
1
answer
2k
views
Gamma Regressor - Some value(s) of y are out of the valid range of the loss 'HalfGammaLoss'
I am trying to use GammaRegressor to predict the customer revenue in the next 3 months, 6 months etc.
So, I tried using the GammaRegressor based on suggestions from ...
- 3,342
1
vote
1
answer
3k
views
Regression for only positive values prediction
I already referred these posts here. Please don't mark it as duplicate. This post is continuation of my other post here. So, am not providing the full context here. You can refer the link here
a) Is ...
- 3,342
6
votes
1
answer
1k
views
Predict non-negative continuous variable between 0 to 100
I am working on a problem wherein I am trying to predict how much 'percentage a student will score exams' based on the 'number of hours the student study', 'number of hours the student play', 'student'...
- 175
1
vote
0
answers
206
views
Can I use the minimum lambda.1se among 100 iterations of 10-fold cv.glmnet to tune the final model?
I am running 10-fold cross-validation(cv.glmnet) 100 times on a training dataset in R. The purpose of this process is to find the optimal lambda to tune the final model for my prediction model.
I did ...
- 11
4
votes
2
answers
382
views
Prediction using a logistic regression model
Given a logistic regression model:
$y \in \{0, 1\}$
$ P(y=1|x;\theta) = h_{\theta}(x) = \frac{1}{1+\exp(-\theta^T x)}$
And given the value $\theta^*$ which maximises the conditional likelihood $P(y|X; ...
- 151
0
votes
0
answers
24
views
Predict the injury time of a football match?
I have a project which requires me to predict the injury time of a football match. And I have the relevant information, such as goals, corners, referee, 2 team names and the injury time for each half.
...
1
vote
1
answer
53
views
How the multiplication of observations numbers contributes to Bayesian assumption in BIC calculation?
The model selection process applies both AIC and BIC in various situations:
$$\operatorname{AIC} = -2\operatorname{ln}(\operatorname{likelihood}) + 2k$$
and
$$\operatorname{BIC} = -2\operatorname{ln}(\...
- 11
1
vote
2
answers
162
views
What features are suitable when predicting user preferences for songs?
I have a data set consisting of 1240 audio files (30 seconds each) and a file like this (two first rows):
u v decision
1 323 0
12 9 1
...
- 19
4
votes
1
answer
1k
views
GAMs vs GLMs with feature engineering - is there a practical difference?
I recently came across this tutorial on General Additive Models (GAMs). Quoting the article:
The principle behind GAMs is similar to that of regression, except
that instead of summing effects of ...
- 6,767
8
votes
2
answers
10k
views
Why is Hedonic Regression used instead of Linear Regression
Why is Hedonic Regression used (especially in housing prices) instead of Linear Regression?
There do not seem to be any libraries in Python (and R) for Hedonic regression, is it too niched a ...
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