Tagged Questions

0
votes
0answers
16 views

Getting the degree of overlap between each pair of classes

In a dataset containing many classes, is there any way to get some values which indicate how much the data-points of two different classes $y_i$ and $y_j$ are overlapped ?
2
votes
4answers
95 views

Strangely imbalanced dataset

I'm new to Machine Learning and this forum. I have a beginner's doubt regarding imbalanced dataset. Here it goes: I have a binary classification task, where I'm more interested in accurately ...
0
votes
0answers
41 views

Guidelines on assessing how data is gathered

I will be working with a dataset sample which I will use for optimization purposes. However, before I start, I want to briefly analyze data in order to get a better sense and identify possible ...
4
votes
2answers
168 views

How to reconstruct database from cross-tabulated data?

I am given a set of almost 100 crosstabulations (most 2D, but some three dimensional) based on a single, yet unavailable dataset. My task is to perform basic statistical tests ($\chi^2$, Mann-Whitney, ...
2
votes
2answers
102 views

Estimating the number of registered interaction designers in a given territory

I plan to conduct a research study about Interaction Designers. Prior to starting on sampling methods I am finding it very hard to get my hands on some demographics and statistics, e.g. How many ...
4
votes
1answer
218 views

Assessing the representativeness of population sampling

I am looking for some suggestions about assessing the representativeness of a particular dataset I am analyzing. In this dataset I am looking at the relationship between two variables (e.g., X and ...
3
votes
2answers
132 views

Checking the distribution of classes in a sample of a dataset

I am new here, so I might have missed a similar question. I am trying to do things good in my research and using proper statistical approaches, but in computer science, we had quite a weak training ...
5
votes
4answers
267 views

Which one should be applied first: data sampling or dimensionality reduction?

I am working on binary classification problem. Data set is very large and highly imbalanced. Data dimensionality is also very high. Now I want to balance data by under-sampling the majority class, and ...