All Questions
Tagged with algorithmsregression
17 questions
0votes
1answer
30views
Regression Algorithm while passing in future values?
Very similar to this question here: https://stats.stackexchange.com/questions/406416/including-future-values-in-a-regression Is it possible to pass future (expected) values into a regression algorithm ...
- 101
0votes
0answers
39views
Why does my regression-NN completely fail to predict some points?
I would like to train a NN in order to approximate an unknown function $y = f(x_1,x_2)$. I have a lot of measurements $y = [y_1,\dots,y_K]$ (with K that could be in the range of 10-100 thousands) ...
0votes
1answer
55views
Which algorithm works well for forecasting sales prediction and the reason to choose particular algorithm?
I am working on a project 'Rossmann Sales prediction', in which I have to forecast the sales of Rossmann Stores. So it is a supervised ML problem. I applied random forest. But then in interviews ...
1vote
1answer
3kviews
How to find bias for perceptron algorithm?
My question is very basic. I am starting with ML and am working on the perceptron algorithm. I successfully computed the weights for this input data: ...
- 205
4votes
0answers
2kviews
How to train continuous/soft classification model?
The classic classification problem is like finding the function $F:\mathbb{R}^n\mapsto \{0,1\}$. The label set will be [Apple,Banana,Banana,...,Apple]. What if I want to train a function $F:\mathbb{R}...
- 4,376
3votes
1answer
31views
P-value mining on large number of combinations of variables
I really don't know any machine learning, but have a problem that seems like one where I should use some ML algorithm. I am analyzing a medical study with one age-related condition, age, a treatment, ...
- 131
0votes
1answer
49views
Classification vs Regression Algorithms - Should exists algorithms only for Classification and/or Regression
Dummy question: There exists algorithms that should only be used for Classification or Regression problems? For example, should Random Forest should only be apply on Classification problems and ...
- 367
4votes
2answers
296views
Prediction in Machine Learning
When we use a regression algorithm in out dataset it's because we assume that there is a relation between our input data and some quantitative value. This is expressed as : $y = f(x)+\varepsilon $, ...
- 705
1vote
2answers
360views
Regression - random error term
When we use a regression algorithm in out dataset it's because we assume that there is a relation between our input data and some quantitative value. This is expressed as : $y = f(x)+\varepsilon $, ...
- 705
6votes
1answer
216views
Predicting change of shapes/coordinates
I'm trying to find a way to predict/calculate how a shape (e.g. outline of a glacier) will change in the future—based on its history (previous shape) and additional factors (e.g. Δtemperature). In my ...
0votes
2answers
2kviews
How regression algorithm works on categorical features
I have a dataset with features that most of them are nominal categorical features, I have converted my model to indicator values, Original ...
- 133
0votes
1answer
609views
Sales Forecasting - Random Forest - Which features should I use for out of sample forecasting?
Sorry for the bad title, I can't find a good one. So I will try to explain what I'm looking for. I'm doing sales forecasting with a Regression Forest. (Spark - Scala for the technology) I've worked ...
1vote
1answer
118views
How to decide power of independent variables in case of non-linear polynomial regression?
Consider one dependent variable 'Y' and 10 independent variables or features- X1, X2, X3, ... X10. I want to create a non-linear polynomial regression model such that- Y ~ a1.X1^b1 + a2.X2^b2 + .... ...
- 267
1vote
0answers
756views
Machine Learning with fixed and variable inputs and multiple outputs
I've been doing machine learning and neural networks for a couple months, and finished a 5 months online course of it last year, but I'm struggling in an specific scenario: Let's say we've got this ...
- 161
3votes
0answers
71views
Has anyone defined a spline function (i.e. defineFuction) in PMML?
Has anyone defined a spline function (i.e. defineFuction) in PMML? There are quite a few parameters that need to be defined, with a fairly lengthy math. For example, for a predictor with a simple 3-...
