All Questions
21 questions
3votes
1answer
38views
The classifications from the model do not align well with business expectations or the "X" metric
Could this discrepancy be caused by the threshold strategy? If so, how should I optimize or adjust these thresholds? How can I better align the model outputs with the business context of "X"?...
0votes
3answers
282views
Which machine learning algorithms can be used for trajectory classifications?
I am working on project for clustering of air objects based on their trajectories. Like I would like to train a model on a dataset of different flying object's trajectories so later I can predict what ...
1vote
1answer
43views
What are the latest and most succesful classification algorithms at the moment?
I have googled this for some time with no luck. All i get are tutorials or articles explaining the classic algorithms like linear regression, random forest, etc. I would like to know which are the ...
- 111
0votes
0answers
468views
Single Word Classifier
How to use machine learning algorithms to predict class of single values/words ? ...
- 1,940
4votes
1answer
916views
Product classification in hierarchical categories based on multiple parameters and non-standard descriptions
I want to start a machine learning project in my company and a really big pain for spend analysts is to classify the products that buyers order for maintenance, tooling, raw material and such, as the ...
1vote
1answer
49views
Algorithm Suggestions for a Self Project [closed]
So, I am doing a small self project on data analytics. I am collecting the android apps data from the play store sites by web scraping. I am basically trying to collect all possible information ...
- 121
1vote
1answer
31views
Correct learning algorithm for grouped examples
I need to learn which item will be (most probably) picked from a group. The data I have consists of groups by 10 items and which one was picked(or if neither was picked). My current approach is to ...
- 111
0votes
1answer
2kviews
Finding similar data columns with machine learning
I'm trying to find similar data columns (text and numerical) in other tables by using classification in machine learning. What are some good features that can represent a column for my feature space ?
- 145
4votes
1answer
2kviews
Multi Label Classification on Data Columns in Tables
I am seeking guidance on a machine learning problem involving the tagging of data columns. Currently, I have a system where users can add multiple tags to a columns in a table. However, I want to ...
- 145
1vote
2answers
87views
Classifying potential triggers for events (many-to-many relationship): Which algorithm to use?
I want to use Data Mining/Machine Learning for a problem and I'm not sure if there is a standard algorithm for my problem. The problem is as follows: There is a set of Events and a set of Potential ...
2votes
1answer
2kviews
Performing machine learning on small datasets
As a beginner at machine learning, I wanted to work on a small project in which the dataset has only 80 rows and 5 columns. The dataset I am working with is related to a medical condition, with 4 ...
- 23
1vote
2answers
176views
Which classification algorithms can handle 24000 features [closed]
Which classification algorithms can handle 24000 features? What are their pros and cons?
- 133
1vote
1answer
296views
What is the best strategy to use on data with many classification labels?
In general, what sort of supervised algorithms and techniques should I use on data that has the following charactersitcs: 2 potential classification labels? 3-5 potential classification labels? 6-10 ...
1vote
1answer
63views
How do linear learning systems classify datapoints that fall on the hyperplane
How do linear learning systems, such as the simple "closest to the class average" algorithm or SVMs, classify datapoints that fall on the hyperplane?
- 511
3votes
3answers
1kviews
Machine learning algorithm to classify blog posts
So I have a large collection of blog posts containing title, content, category, ...
- 143
