Questions tagged [machine-learning-model]

Question 1

I'm a software engineer working with medical device AI models that predict diseases and other conditions. For the most part, I don't design the models but I help with getting FDA clearance for them. ...

Question 2

I am trying to create some kind of regression model. Target is continuous and can both be negative and positive. However, the issue is that there is a region/band that I know is roughly -50 to 50, ...

Question 3

Following on from my recent post on the topic, my goal here is to synthesise the excellent community wisdom on it over at Cross Validated into a "canonical" Q&A for the data science SE :)...

Question 4

I am working on a content-based recommendation system. I am planning to frame this as a binary classification problem (1 = click/0 = not click). And I was looking for paper/readings on feature ...

Question 5

I am working with Vanna AI (text-to-SQL) and I have two problems regarding my database schema and how the model interprets it: Problem 1: Two similar tables I have two tables: SellingDocuments, ...

Question 6

I am trying to apply Reinforcement Learning (RL) to the following partially observed setting. I would really appreciate hearing your thoughts on my question. I have a Markov process that evolves as $p(...

Question 7

i am working on a project to check for churn prediction, but my data is very imbalanced I tried so many things but this the best model I can get to my main problem is that I want recall and Precision ...

Question 8

I am working on a dataset containing features that are discrete frequency counts. I understand that knowing the underlying data distribution is important for selecting an appropriate imputation method....

Question 9

I'm working on fine-tuning a language model (Meta-Llama-3-8B-Instruct) to generate a dependency graph for industrial tasks. The idea is: given a list of unordered tasks, the model should output a ...

Question 10

I am making predictions at the entity level, and for simplicity's sake, suppose there is only one feature. My goal is to set up my X matrix such that I can capture changes to the entity over different ...

Question 11

I am trying to improve a classification model with a highly imbalanced dataset — the positive class has very few samples. To compensate, I added more positive-class samples to the training set only, ...

Question 12

I'm trying to develop a model who'd be able to generate dependencies between industrial tasks. In order to do that, i went for the GNN solution : i have nodes = tasks, dependencies = edges, and have ...

Question 13

I am training an DensNet model on medical dataset which has gold standards as per annotation. After training i noticed accuracy is just 60%. Later i performed following changes but still no luck. ...

Question 14

I have subscriptions that can have different duration/length. Some will have 1 month, some 3 months, some 12 months and so on. How can I predict when a customer can cancel his subscription within the ...

Question 15

Short version: 100% training accuracy, 75-79% testing accuracy Long version: I'm a data science noob and my project is to create an ensemble model of 3 to classify retinal fundus (eye) images to 6 ...

Stack Exchange Network

Questions tagged [machine-learning-model]

Use of training data that has been labeled by the AI model itself

How do I train a regression model on time series data containing a band of zeros?

Is class imbalance really a problem in machine learning?

What are some good resources to read about recommendation systems to help build your own?

How to train Vanna AI to distinguish between two similar tables and their column values?

RL - Updating rewards at every step based on filtering model, how to evaluate policies?

churn prediction machine learning low precision

Discrete Feature Imputation: How to Choose an Appropriate Data Distribution Model?

Fine-tuning Llama 3 to generate task dependencies (industrial planning)

How to properly set up your X matrix for time-series classification

Tips on how to fix sampling bias

Which model is the best suitable for generating edges?

DensNet169 model accuracy not increasing on medical classification dataset

Predicting when a variable length subscription will be cancelled

Overfitting Problem - Medical Image Classification with Transfer Learning (Keras)

Hot Network Questions