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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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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. ...
Akshat Vats's user avatar
1 vote
1 answer
36 views

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 ...
Yuuya's user avatar
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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 ( ...
SamTheGoodOne's user avatar
1 vote
1 answer
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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 ...
Ilario Gelmetti's user avatar
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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 ...
Belat's user avatar
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1 answer
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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 ...
Jrow's user avatar
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0 answers
24 views

TCN vs CNN models

I can't understand the difference between the two architectures. The TCN should consist in 1D convolutions over layers of neurons, and in this way it gather some info from a time series. The biggest ...
AlteD1995's user avatar
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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 ...
x89's user avatar
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Question regarding model inference consistency

I am doing some research on gaze estimation model L2CS provided in here. When you look at the inference predictions on provided image, when face/eye direction barely changes, inference predictions ...
JohnDoe's user avatar
2 votes
1 answer
21 views

Text Classification with unlimited labels, Text Extraction?

I'm looking to use ML to read in a blob of text, and extract a name from that text blob. (The blob is from an OCR result from an iPhone) The text blob varies in size, but the name is always present in ...
Matthew Knippen's user avatar
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stabilityai/stable-cascade vs runwayml/stable-diffusion-v1-5

What are the major differences in these text-to-image AI models: stabilityai/stable-cascade runwayml/stable-diffusion-v1-5 in terms of architecture and performance?
x89's user avatar
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Create model for manufacturing defect detection using python

Has anyone done some work on manufacturer defect detection? I need some input on this. I have done some research and found some examples like TensorFlow/Keras and CNN, but I need some real-time ...
Reetesh Nigam's user avatar
1 vote
0 answers
14 views

Which model and classification algorithms should I use for deobfuscating/mapping symbols in source code?

I have a source code for an application that recently started undergoing obfuscation. Each new version alters the names of symbols, shuffles the order of classes, and employs other strategies. However,...
emi's user avatar
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0 answers
22 views

Machine learning model that takes multiple records as input to help predict the last

I want to create a ML model that is able to forecast the yield from a farm. My data source gives me data about the inspections from the field, but that is too much info to fit in 1 record, so there ...
Milan N's user avatar
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11 views

Classification techniques for continuous arrays as inputs and scalar categorical variable as output

a newbie here. If you had any ideas about the following, that would be great. Suppose for a given data set: T’s and Y’s are arrays with T = [0 1 2 3 5 6 7] Y= [4 7 9 3 6 1] So at T=0, Y=4 and so on Z =...
Ash Ketchump's user avatar
4 votes
2 answers
113 views

What is the best way to train a neural network with a variable number of inputs?

Suppose I have a neural network with 5 inputs: [A,B,C,D,E] There is only 1 output. The expected accuracy of the model should increase when all 5 inputs are ...
user18959's user avatar
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0 answers
21 views

ML Methods For Modelling Latent Variables

I have some time series predictor variables, $\{\mathbf{X}_t\} = \{\mathbf{X}_0, \ldots, \mathbf{X}_n\}$, and some other time series data $\{\mathbf{Z}_t\} = \{\mathbf{Z}_0, \ldots, \mathbf{Z}_n\}$. ...
baked goods's user avatar
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1 answer
29 views

Combining datasets with different featues but, have similar names but, not exactly I can do name = name

I want to join datasets of data I have scraped from Open Critic, vgchartz, and Steam. All of these datasets have different fields but, I want to be able to join the 3 datasets to make one dataset with ...
Christopher Kinoshita's user avatar
1 vote
0 answers
22 views

Enhancing Soil Moisture Predictions Using Multimodal Data Integration in Agriculture

I am exploring an interdisciplinary research area involving multimodal data, focusing on agriculture. My study incorporates both visual and tabular data: crop and soil images from three distinct ...
Md Rakib's user avatar
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0 answers
14 views

How to migrate my ML Model from Staging to Prod without having to retrain the model and without lossing the hyperparameters

I want to train my ML model in my staging environment and then push the model to production if it performs well. However, I do not want to retrain the model on the entire dataset. I simply want to ...
QuantumCoderX's user avatar
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0 answers
6 views

How to explain my standard error of my ANN prediction

I have a question on how to satisfactorily explain the standard error of my ANN model. For background, I have an ANN model that predicts protein post translational modifications based on their GC-MS ...
hypermiler3's user avatar
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0 answers
15 views

How to use pairwise data to cluster users into group?

I have a table_1 shows the phone call history, with two columns 'ID_1' and 'ID_2' (id1 calls id2), how can I find the clusters where each user in the cluster in the calls with at least 2 other people ...
kumalu's user avatar
  • 1
-1 votes
1 answer
51 views

Why is my NN model's prediciton for y= sinc(x) function showing symmetric?

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RimaMonica's user avatar
0 votes
2 answers
39 views

Difference between (None, 2000, 8) and (2000, 8)

Input: a tensorflow dataset with 17000 items: ...
Fabi's user avatar
  • 11
0 votes
1 answer
31 views

What's the best model choice for a non-linear regression task?

I have a dataset with the following format: Rows: 3700, float_columns: 17, int_columns: 2, categorical_columns: 12 Target Type: Continous, float My dataset is an insurance dataset that stores the ...
Connor's user avatar
  • 651
1 vote
1 answer
48 views

How can I predict the best treatment to give to new patient?

As part of a school project, I have to analyze a dataset with patients (with characteristics: sex, age, smoker 0/1, etc.) who received different treatments (one per patient) with a response to this ...
lea's user avatar
  • 11
0 votes
2 answers
22 views

Working with Numerical/Continuous Dependent Variable and Numerical Independent Variable

I am working with a data set that has both numerical/continuous data as well as categorical data. I know I can use one-hot encoding as a method when preprocessing the data, but ultimately I'd like to ...
Jessica Wade's user avatar
0 votes
1 answer
58 views

Sale Forecasting Problem -- Is it legit to use inventory level as a feature?

I'm working on a project to predict future sales for our company's products so that the supply chain can have better idea how much to restock. Detail about the model I'm working on: Model: LGBM (from ...
user159479's user avatar
0 votes
0 answers
18 views

How to use two independent datasets in machine learning phd research work?

In order to develop an academic performance prediction model for a local Higher Ed Institution, I have collected the OULAD open dataset and the local Institution's dataset which I structured into the ...
AnilPHD's user avatar
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0 answers
37 views

Need Expert Advice for using sklearn pipeline to create a composite estimator with multiple models & features. Column Transformer with Mixed Types

I am trying to use sklearn pipeline to create a composite estimator. Please check attached image for model blueprint. Can anyone help me understand how this can be done in python. Column Transformer ...
prafull ghare's user avatar
1 vote
1 answer
102 views

pos_label=1 is not a valid label. Should be one of [2,4]

I am trying to retrieve my precision score but I am getting an error as follows: pos_label=1 is not a valid label. It should be one of [2 ,4] And here is the code ...
Hanh's user avatar
  • 13
0 votes
1 answer
42 views

How is the weight of each new weak learner is calculated in Xgboost?

In Xgboost we have multiple sequential weak learner. Let say I have weak learner WL1 and we fitted it on our data and we calulated the error. Now we have another weak learner WL2. And as I have read ...
XGB's user avatar
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1 vote
1 answer
51 views

how many samples do i need to be sure about my model metrics?

i have 50 features(columns) and 100 samples(rows) dataset for binary classification problem, i have build a ML model by using cross validation and it has model metrics like roc_auc=0.71 f1=0.75 ...
M.SEL's user avatar
  • 13
0 votes
0 answers
49 views

Unsupervised Learning with Time Series data?

I'm working with data which has daily aggregated user actvity over the course of several months (a user doesn't have to make an activity every day). I'm looking for a way to cluster similar users ...
user6132211's user avatar
0 votes
0 answers
13 views

ML development on data biased by historical treatments

I have a dataset where in each data point was subject to certain treatment (4 different treatments) in the past based on their riskiness. The riskiness was estimated by a logistic regression model in ...
NerdyMandy's user avatar
0 votes
0 answers
37 views

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/...
John Adams's user avatar
0 votes
1 answer
29 views

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 ...
Isaac's user avatar
  • 1
1 vote
1 answer
22 views

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 ...
Nevermnd's user avatar
0 votes
1 answer
73 views

Frameworks vs models

My second question (Models vs algorithms) is what is the difference between models and frameworks?
quanity's user avatar
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0 votes
0 answers
39 views

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 ...
Vic Wild's user avatar
1 vote
2 answers
133 views

Does it make sense to tune a model in scikit-learn and copy/paste the 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-...
wtwtwt's user avatar
  • 111
0 votes
0 answers
23 views

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 ...
Diya sharma's user avatar
0 votes
0 answers
15 views

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%,...
Full Array's user avatar
0 votes
0 answers
19 views

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 ...
Aditi Chavan's user avatar
0 votes
2 answers
22 views

changing to gray scale

I want to transfer X-ray data images to grayscale in this code ...
user155950's user avatar
0 votes
0 answers
20 views

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 ...
Remco Kersten's user avatar
0 votes
0 answers
10 views

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 ...
Duber's user avatar
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0 votes
1 answer
104 views

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 ...
Justin Jonany's user avatar
0 votes
0 answers
84 views

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 <...
Fintech Pikachu's user avatar
0 votes
1 answer
44 views

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 ...
Justin Jonany's user avatar

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