All Questions
Tagged with regressiondataset
43 questions
0votes
1answer
23views
Struggling with normalization/Standardisation for machine learning dataset
Sorry for what is probably a very obvious/rookie question. I'm currently doing a data science module for my degree and making very slow progress with the work. The case study i'm doing is around HR ...
1vote
0answers
152views
Generating quality synthetic tabular data - is it possible when one's dataset is extremely small?
I've got a dataset consisting of only 17 samples and 6 continuous features (all values in the dataset contain decimals, although 2 features exhibit categorical-ish behaviour). I'm looking at the ...
0votes
1answer
28views
how to build model using two input dataset in which there is no common column to merge or combine
I want to create model for truck company in which trucks delivers the car for customers.i have two data sets. one is customer details like how many cars they want from particular area or terminal and ...
0votes
1answer
226views
different range of target values in neural network
I am working on a neural network regression code. The dataset includes 14 features in the range value between -1 and 1. while the target variable is changing among (0.000759) to (1100). The target ...
- 1
1vote
1answer
139views
Input shape - How to feed metadata to a ML model?
I have data such as metadata: hospital layout, number of rooms, number of patients in a day etc. and then I have data regarding the doctor’s check-ins. Which is more granular. How do I feed this data ...
- 11
0votes
1answer
55views
Transform dataset to regression problem by sorting?
I have a raw unlabeled dataset, and I want to design a model to perform a regression. In my dataset, it does not make sense to give each observation a value, but it does make sense to sort them. Can I ...
0votes
0answers
70views
How we describe scientifically easy and difficult dataset?
Sometimes we hear that a dataset is easy or difficult for a same task (like classifying cats and dogs). How we can describe it in scientific way( math or probability or statistics). For example we ...
1vote
0answers
19views
Are there any known methods to generalize multiple trajectories into one "optimal" path based on energy consumption?
Say that I have a database with timeseries coordinate data from a vehicle going from A to B multiple times but with slightly varying trajectories each time, leading to different amounts of energy ...
0votes
1answer
144views
Difference between scaling just x or x and y in PCA / principle component regresseion
Before doing principle component regression it is important to scale the data. But which data exactly? Is it enough if I just scale X or do I have to scale the whole data set, containing X and Y (=...
2votes
1answer
43views
Given a regression based model with many feature variables; what tools would you utilize to figure out which feature variables add the most variance?
Given a hypothetical dataset {S} with 100 X feature variables and 10 predicted Y variables. X1 ... X100 Y1 .... Y10 1 .. 2 3 .. 4 4 .. 3 2 .. 1 Let's say I want to improve the accuracy of Y1. I am ...
1vote
1answer
23views
Material Science dataset with feature-dependent inputs
I'm dealing with a material science/chemistry dataset where I have a bunch of duplicates inputs formulas corresponding to different values of a specific features like temperature. It looks something ...
- 121
1vote
1answer
20views
Sum of squares for matrix valued data over $\mathbb{R}$ and $\mathbb{C}$
Let us assume we have $k \times k$ matrix valued data and assume this is organized (possibly as time series): $$ M_1, M_2, \ldots, M_n $$ Now, assume we are interested in writing down an error ...
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0votes
1answer
50views
Creating a training dataset from analytical solution
I am currently redesigning an inverse problem on an experimental technique, but I am having doubts about how to create a training dataset. Here is the problem I am trying to solve: I have already ...
0votes
0answers
76views
4votes
2answers
207views
Was this dataset analysed correctly? [closed]
There's a Twitter thread going around that claims there are signs of voter fraud due to anomalies in the election vote count data set. You can download the dataset here and find the script to generate ...
- 149
