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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My machine learning model cannot classify data that it has never seen before
I am creating a spam identifier to detect wheter an email is malicous. The issue I have is my model using the RandomForest Classifier showed it was 99% accurate.
csv: https://www.kaggle.com/datasets/...
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Test set won't have all the features present in the training set
I have to analyze a cardboard packaging system. To simplify, it consists of three parts, each of which needs to be set up (this depends on the pre-order): the printer, the slotter, and the cutter. The ...
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Question regarding coefficents regarding linear modeling in R
I had a question regarding the composition of coefficents of a linear model in R.
Let's say my model is as follows, with three columns/independent variables: X, Y, and Z.
And my model is: (X * Z) + (Y ...
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Frameworks vs models
My second question (Models vs algorithms) is what is the difference between models and frameworks?
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Open Source Model or dataset for attention map visualization
Helloo (:
I'm trying to develop a python application where users can upload an image e.g. of their website and receive a heatmap or attention map in return. This map should indicate where users are ...
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Does it make sense to train data in scikit-learn and copy+paste parameters into Rust's linfa?
I have a situation where my data can only be read from in a hosted Python environment, due to data security reasons. However, I am constrained to run ML models in a Rust environment due to work-...
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I've a dataset contains all details about the employee and have to predict whether he is good or bad based on the other features
I've a dataset contains all details about the employee and have to predict whether he is good or bad based on the other features, what is the suitable ML algorithm to predict this kind of target ...
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Do ML model measurements and validation standards (e.g. NIST, ISO) exists for the finance, healthcare, and technology industries? Provide citations
Normally, for example, we talk about splitting datasets into training and test datasets. But. The splitting % per train and test sets happens in a subjective manner. Sometimes. The train is 60% or 70%,...
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How can i create model to match nested geometric image with child geometric images
image1 is a nesting file and image2 is child file ,i want to find child file is contain in nesting file or not.We tried using random forest but it did not work.can you suggest some good image matching ...
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changing to gray scale
I want to transfer X-ray data images to grayscale in this code
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What model to use to match persons
To gain experience with AI, I am working on building a simple app where students can create a profile. The student's bio is read by NLP and the student is given a number of tags that he is good at. So ...
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Align Vectors are Easy to Learn?
I have three vectors $x,y_1,y_2\in\mathbb{R}^{n\times 1}$, where $x=y_1$, $x\perp y_2$. If I use $x$ as input of a 2-layer perceptron, will regressing $y_1$ be easier than $y_2$ (i.e., when fully ...
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Workflow when making a machine learning model
I'm new to data science, and kinda confused with the workflow and steps to make a model. Before learning the math and concepts behind the algorithms like SVM, linear regressions, etc, I would just ...
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Identifying recurring transaction clusters (subscriptions) at a user level
I need some help converting this issue into a machine learning problem.
Goal:
Grouping credit charges into clusters of recurring transactions per user
Input data:
List of credit card charges with
<...
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Suggestions to learn the Machine Learning models in greater depth?
I've been learning machine learning for the past few weeks from books and online courses. The books I've been reading, and currently still reading is "Hands-On Machine Learning with Scikit-Learn ...
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overfitting or not
Hello so i'm building a classification model i train my on various models and these are the metrices so i want to know if ther's an overfitting or not
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How can I labelling a sequence of network traffic to one single classification?
I want to labelling network traffic (several .pcap-files) to different classifications. But this network traffic are not just one entry, there are sequence of entries (~50).
So how is it possible, to ...
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Why would multiple activation layers be used in a row?
I'm learning about ML and I was looking at
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Pre-trained text classifier to check whether a document is business or personal
I need a pre-trained classifier that checks if a document is either a business or personal document. I don't have time to train one myself so if anyone knows of a classifier that is pre-trained and ...
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Is it a problem to use the test dataset for the hyperparameter tuning, when I want to compare 2 classification algorithms on the 10 different dataset?
I know that we should use the validation set to perform hyperparameter tuning and that test dataset is not anymore really the test if it is used for hyperparameter tuning. But is this a problem if i ...
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Accuracy difference between 1-channel grayscale and 3-channel grayscale detection model
I have found no similar questions to this online, or answers for that matter.
I am using cameras that output a grayscale image, which I feed into a Yolov8 object detection model (Specifically yolov8m-...
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Looking for suggestions on the model/algorithm for 2D row labeling
As an experiment, I'd like to train a model to label a few rows of data on a 2D tensor. F.e. on a black and white image, label the "darkest" and "lightest" row.
Is this a task for ...
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NLP Decision confidence analysis
I have text from people explaining their decision. I want to extract a confidence score of how confident they are in their decision.
I am looking for a pre-trained model. I looked up online but I ...
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how to evaluate a model on our data when the model is imported from a library and thus not trained by us?
The company I work for has deployed a trained rule-based sentiment analyzer model vader to make predictions on customer's attitude. We import the model from nltk library directly, so we didn't train ...
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Simple classification problem between real and fake data always gives zero loss
Hey I have just started with machine learning and was trying to classify between real (label 1) and fake data (label 0). Here is the code that I have written. The ...
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Query modification for elastic search using machine learning
I have a problem statement that I'm struggling to formulate as a machine learning framework. There is a huge client database of documents - we're trying to come up with an efficient way of querying ...
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Classifier learn from model or data
I'm new in data science. I read context . It saids "The clf (for classifier) estimator instance is first fitted to the model; that is, it must learn from the model. ...."
and example shows:
<...
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If my logistic regression model is performing well, does it matter if my features don't pass the Box Tidwell Test?
I've built a logistic regression model for binary classification with a high F1 score, but when I run Box-Tidwell tests on continuous independent features/predictive variables, I find non-linearities ...
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a way to automatically split a video into chapters?
Given a video with audio, we can use ASR to get a script of the sentences and timestamps. We are looking for a way to group the sentences into chapters. There are several companies that are doing it ...
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Detecting types of Drifts in data
Given I have two data files, is it possible to detect between the covariate, concept and label drift? That has occurred between them?
There are various methods to detect concept drift. But is it ...
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Are there any machine learning alternatives to a Midas regression
For mixed frequency time series analysis
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Build a topic model without data?
I need to come up with a topic model, without any labelled dataset, the model should also be multilingual, thinking of using LLM's as they are accurate and awesome but if Im to build one on my own how ...
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Optimal method for predicting outcome from many additive, correlated, and sparse features?
Suppose I have many vectors which can take on any of three values, 0, 1, 2. These vectors affect an outcome being predicted, Y. Vectors add together: a vector "A" of the value 2 has twice ...
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how to increase the accuracy of Prophet model?
I have a dataset representing the number of tickets over two years. I have used the prophrt model to predict make a prediction but the results don't seem to be accurate.
The code for the model is as ...
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Tensorflow model wont train when using validation data
Im trying to train a tensorflow neural network. Since the training data is too big for my computer RAM I have divided it into sub-datsets and sequentially use them for training. I have a problem ...
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Using random forest regression for time series forecasting - valid approach?
I'm working on predicting 7-day sales for a product using time series data. Though I primarily have experience in NLP and CV, I ventured into using ARIMA models for this task. However, the results ...
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Differences between the two ViT-based models: GLP and DPT?
I've been learning to do some depth estimation tasks so I came across the GLP model (https://arxiv.org/pdf/2201.07436.pdf) which is suggested on huggingface website. I'm new to machine learning, so ...
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YOLOV4 model training
I can't start my model tutorial. I ran it correctly, I tried it before, but now it doesn't even start. why could it be? Did the update come?
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What is the most optimal machine learning model/algorithm to create a hangman solver?
Want to create a hangman solver, So what is the best ml algorithm (lstm,reinforcement learning, or etc) to use?
Do suggest any other optimal technique if you know?
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Is using a stop gradient on a residual connection the same as not using the residual connection?
Stop gradient operation prevents the gradients to be calculated for the proceeding graph. However, skip connection outputs are added to the sub-network being skipped over.
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Label_fields are not valid error when using Albumentations
I'm not sure if you can have duplicates cross-forums, but my previous question on Stack Overflow was never answered. I'll paste it here just in case.
I'm using albumentations with the following code:
<...
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eval_metric of XGBoost // ML model in general
Say I am using Xgboost on a binary classification task. eval_metric is one of the model parameter. How should I think about the impact of using different eval_metric(e.g rmse/mae/logloss) in general? ...
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Advice on how to approach a recommendation model for marketing
I am working on a project to provide recommendations to the marketing team to launch effective campaigns. The dataset I have has data on existing customers, their demographic and billing details as ...
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How to compare test vs train model performance
When comparing the test vs train model performance to ensure no overfitting (e.g., using AUC ROC as an example), is it better to select the model with the largest test score, or the model with the ...
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Natural Order should be maintained while ordinal encoding?
I am encoding my ordinal categorical values as VHigh=1, High=2,Med=3,Low=4. Am I doing correct? or order doesn't impact?
If it impacts, how does it impact Decision Tree, Logistic Regression, SVM?
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Using neural networks to learn total distributions from linearly transformed samples
I am trying to explore the use of neural network based models to replace a cumbersome challenge with a faster more approximate method. The problem involves learning a distribution termed the "...
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Word embeddings
I m looking into word embedding and I would like to ask if I could train words or sentences in two layers. And if I wanted that one layer is more important, how could I calculate it? For example ...
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Which is the best binary classification model? Train and Test Accuracy are similar
I am building a binary classification model where classes are imbalanced but used SMOTE, I used 4 different models to compare performance and decide which to choose.
They have same train and test ...
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ELMO embeddings
Could somebody tell me how does elmo work?
Is it good for phrase embedding too?
I m looking for phrase embeddings.
Thank You in advance.
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What machine learning technique can help generate spectrum line profiles?
I'm trying to work with Calcium-K line profiles from the Sun.
Image for reference. Please ignore the labels on the image and note that my profiles are not in image format (more info below).
I have ...
