Unanswered Questions
434 questions with no upvoted or accepted answers
6
votes
1
answer
241
views
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 ...
CommunityBot
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5
votes
1
answer
119
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
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5
votes
2
answers
622
views
Evaluation of regression models with different evaluations (MSE, variance, VAF etc.)
When comparing several regression models in terms of quality, it seems like most have agreed on the MSE.
There are also papers comparing "variance" and "variance accounted for (VAF)&...
CommunityBot
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5
votes
4
answers
418
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What kind of regression model should I do?
my research question is the examine the effect of "receiving attention" from other members in an online community on "sustained participation" on the website.
I decided to measure "sustained ...
CommunityBot
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4
votes
0
answers
87
views
Why is my models classification performance so much worse than its regression performance?
I'm comparing different models on their performance for breathing detection. For every model, i try to predict a continouous breathing signal as regression task as well as a binary classification for ...
4
votes
0
answers
2k
views
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}...
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4
votes
1
answer
301
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Is decision tree regression comparable to locally weighted regression
I am new to decision tree method. For decision tree regression model, does it just fit a piece wise step function over data? When and why would people prefer it over some traditional regression like ...
CommunityBot
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4
votes
1
answer
98
views
Am I supposed to be using Mixed Effects?
I ran a GLS random effects regression on some NBA data in Stata, and I was told that it was wrong because I didn't use mixed effects model. This may every well be the case, but I was quite confused by ...
CommunityBot
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3
votes
0
answers
1k
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Combining heterogeneous numerical and text features
We want to solve a regression problem of the form "given two objects $x$ and $y$, predict their score (think about it as a similarity) $w(x,y)$". We have 2 types of features:
For each ...
- 1,291
3
votes
2
answers
2k
views
Which loss function is the best loss function when using XGB regression with highly skewed dataset?
Which loss function is the best loss function when using XGB regression with a highly skewed dataset?
The skewness of the data is very high. I used XGBoost with objective function of linear ...
CommunityBot
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3
votes
2
answers
183
views
Continuous Estimated Time of Arrival
I'm trying to create a model for when a shipped product will arrive at its destination. There are several stages the delivery goes through, so it's not just drive time from point A to point B. My ...
CommunityBot
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3
votes
0
answers
1k
views
How to add control variable in regression using sklearn
I am trying to perform controlled regression using sklearn, I have been using sklearn for fitting dependent variable and independent variable, however, if there is a variable that I want to control ...
3
votes
0
answers
65
views
How to make machine learning model that reports ambiguity of the input?
Suppose I want to build a neural network regression model that takes one input and return one output.
Here's the training data:
...
- 305
3
votes
0
answers
505
views
Genarate one hour time interval array using pandas in python (import from csv) to predict next value
I am trying to generate one hour one hour time interval to predict next value according to my data set imported from csv file. Here according to the time it will give outputs include in x column. This ...
- 3,970
3
votes
1
answer
417
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Train neural network for regression with negative samples
I have training samples which have have vector $\vec x$ as input and a vector $\vec y$ as output - both vectors have real (float) numbers $\in \mathbb R$ as entries. I want to train a neural network ...
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