Questions tagged [machine-learning-model]
A machine learning model is a simplified representation of a dataset, derived from statistics in the data, used to make predictions. It can represent patterns, behaviours or features within this dataset which have been learnt by the algorithm during training.
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Expecting your comments to structure my project?
I am developing an binary classification project. Initially I got a dataset including real data in 3290 rows and 15 columns. Then using CTGAN network I generated synthetic dataset with 100000 rows. ...
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ADALINE simple implementation with 2 features bug
I am reading Machine Learning with PyTorch and Ski-kit learn book by Sebastian Raschka
While plotting the decision boundary (a line in this case, since the number of features considered = 2) I can't ...
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How to increase the optimial cutoff point(youden index) after training a model?
So I trained a model based on a medical dataset and and I got an AUROC for detecting cancer in brain images as about 0.96 and i noticed that the youden index is 0.1 but i want to increase it to 0.5 , ...
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Is always low bias and low variance desirable?
Assume we have two regression models M1 and M2 for a given data. Assuming M2 has lower bias and lower variance, would you always consider using this? This example shows that if the data is random ...
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Using a regression model, is it possible to precisely predict "outlier" results based on a highly imbalanced dataset?
Title.
I have a dataset that's highly imbalanced, say the output variable I want to predict is restricted within the range from 0 to 1, but almost all of the datapoints sit around 0.7-0.9, while my ...
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What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
What are good configs for running UNet3DConditionModel on 8 GB VRAM? (64x64x64 inputs)
More specifically for this project I'm looking to use HuggingFace's UNet3DConditionModel on my home PC on a RTX ...
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lost "target value" role after merge data
Hello there,
Currently i am trying to learn Orange how to classify the quality of products we produce b image analysis.
I have a set of images which i analyse via image embedding. This gives 1 dataset....
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The best algorithm(s) for finding the best hyperparameters (special case)
I would like to ask for help with the following.
Given the following dataset, which I have split into train and test sets:
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How to explain missing dates to a model?
I have this dataset that I'm trying to train a neural network on.
The problem is that since weekend dates are not available, I am not confident in whether the model is able to account for that. ...
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How to measure different models' feature importance using a generic and common standard?
I want to measure the feature importance of a series of models after training them. Most models have some built-in APIs that allow me to access their feature importance, but as far as I know, these ...
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Learning from label proportions
Can someone please tell me how to implement this algorithm via this paper in simple Python as possible?
I asked for code from the author but got no reply after 7 months of retrying.
EDIT: Added code ( ...
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Fitting users' reports with joint time-semantic model
I have a historical list of reports, made by users, containing what happened (taken from a list) and the time when the report was filed. And I would like to fit the data with some joint time-semantics ...
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Is my SPP layer well implemented on the CNN model?
Im doing a CNN model with transfer learning from a VGG16 model but Im adding a Spatial Pyramid Pooling layer on top, I have tried with different data-bases and it has worked, but I'm not sure if its ...
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What type of machine learning am I looking for with these column types?
I have been learning a bit about machine learning and have used a few model types (xgboost, LogisticRegression) with some test data. The more I use these models the more I realize there is a specific ...
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training data of stable cascade vs stable diffusion
So according to this: https://waxy.org/2022/08/exploring-12-million-of-the-images-used-to-train-stable-diffusions-image-generator/
Stable Diffusion was trained on data from CommonCrawler. I believe ...
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