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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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Chi-square as evaluation metrics for nonlinear machine learning regression models

I am using machine learning models to predict an ordinal variable (values: 1,2,3,4, and 5) using 7 different features. I posed this as a regression problem, so the final outputs of a model are ...
Alex's user avatar
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5 votes
1 answer
103 views

What ML architecture fits fixed length signal regression?

My problem is of regression type - How to estimate a fish weight using a fixed-length signal (80 data points) of the change in resistance when the fish swim through a gate with electrodes (basically 4 ...
Shay's user avatar
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3 votes
3 answers
130 views

Classification when the classification of the previous itens matter

I have a classification problem to solve, that seems to be common but I am struggling to find the name of this task and the best way to model this problem. Suppose I have a series of events that are ...
bratao's user avatar
  • 31
3 votes
0 answers
1k views

Forecast Model to Estimate Customer Service Call Volume and Appropriate Staff

I am working on a project to predict the proper staffing needed for a customer service team using historical data. I am new to machine learning, and I am not sure if my approach to this problem is the ...
Tony's user avatar
  • 31
3 votes
0 answers
173 views

Dynamic pricing models in freight transportation (logistics) business

I'm not sure this could be an appropriate question for here. I'm a newbie in the field of data science. I'm looking for keywords which can guide me to search the results to implement what I want to ...
Hosang Jeon's user avatar
3 votes
0 answers
52 views

Making inferences from incomplete data

I have data which have complete information. Each record has one class assigned. On production, I won't be able to get so many information from a user, so I want to create a model which will be able ...
Kamil 111's user avatar
3 votes
1 answer
117 views

Need help on Time Series ARIMA Model

I'm working on forecasting daily volumes and have used time series model to check for data stationarity. However, I'm strugging at forecasting data with 90% accuracy. Right now variation is extremely ...
Rajan's user avatar
  • 31
3 votes
2 answers
522 views

How to treat the undefined values which make sense?

I'm currently trying to create a few features to improve the performances of a model. One of those features that I would like to create corresponds to the difference in days between a customer's ...
qwertzuiop's user avatar
2 votes
0 answers
575 views

Fine Tune GPT-3 without prompt?

I was wondering if it's possible to fine tune GPT-3 without using the "prompt" and "completion" method as shown in the documentation. More specifically, I want to fine tune a GPT-3 ...
logger22's user avatar
2 votes
0 answers
22 views

How can humans improve machine learning models?

I'm a UX researcher and have begun working on how to improve machine learning models for a new role. One question I have is how data from humans can be useful for improving a machine learning model. ...
ux ml newbie's user avatar
2 votes
0 answers
100 views

how to improve recall by retraining a model on its feedback

I am creating a supervised model using sensitive and scarce data. For the sake of discussion, I've simiplified the problem statement by assuming that I'm creating a model for identifying dogs. Let's ...
learnlifelong's user avatar
2 votes
2 answers
550 views

Estimating the uncertainty of regression models

Given a regression model, with n features, how can I measure the uncertainty or confidence of the model for each prediction? Suppose for a specific prediction the accuracy is amazing, but for another ...
Maria's user avatar
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2 votes
1 answer
36 views

What is the best Classification Method alternative to Nominal Logistic Regression, if your Response and all Predictor variables are Categorical?

Hy, I need help in choosing the best classification method. My response variable is nominal with "4" categories and five predictor variables, two of them are nominal and three are binary. ...
Usama2298's user avatar
2 votes
0 answers
43 views

Cross correlation

I am trying to find a good algo (low latency) that is able to take two time series and determine which one is leading on the other one if any. The time series do not necessarily have the same ...
percojazz's user avatar
  • 121
2 votes
0 answers
24 views

Determine most important features in diagnostic data

I have a dataset of device diagnostics. I have two tables: one relating each device to failures code. Two devices can share a failure code for example a common chip malfunction. The second table links ...
Amirby's user avatar
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2 votes
0 answers
228 views

Find VC dimension

I'm studying theoretical machine learning at university, and I have this problem in textbook, that I have no Idea how to start. In space $X=R^2$ are given two models $H_1$ (rectangle with sides ...
user779537's user avatar
2 votes
1 answer
95 views

What algorithms can handle probabilistic targets?

I have a classification problem where I want to want to use probabilities instead of classes to train my model to learn to output probabilities. In my dataset, I have instances where the probabilities ...
Merry's user avatar
  • 139
2 votes
0 answers
398 views

flexibility vs complexity vs number of predictors in machine learning

I'm new to machine learning so am quite confused with the above concepts. It seems to me both flexibility and complexity measures how well the model fit the data (in terms of the curvy-ness), so what'...
capcapuccino's user avatar
2 votes
0 answers
20 views

What branch of data science to use for revealing preceding conditions of desired outcome

On financial data series, I would like to determine if some conditions precede a desired outcome. For example, let's take as an example the daily data of a stock. On some days, the stock experience ...
Robert Brax's user avatar
2 votes
2 answers
164 views

Keras deep learning speaker identification model excels during training and then fails predictions

I am attempting to create a 1:N speaker identification model with Keras using a TensorFlow backend. I used the LibriSpeech corpus for training data, and preprocessed the data by first converting each ...
Zack's user avatar
  • 23
2 votes
1 answer
285 views

what are the next step after ML prediction and how to proceed?

I have trained an ML model with a good accuracy but what next? I am facing difficulty in answering this question, how will you present your model. Which framework do you use How do you make sure ...
yathislax's user avatar
2 votes
1 answer
801 views

Binary Classification Comparing two time series of variable length

Is there a machine learning model (something like LSTM or 1D-CNN) that takes two time series of variable length as input and ...
gustavz's user avatar
  • 141
2 votes
0 answers
222 views

Bias Formula in Machine Learning expanded using ground truth

Why is Bias calculated for $f(x)$? Shouldn't it be calculated for $Y$ (which is $f(x)$ + Noise $\epsilon$)? We are fitting our model to $Y$, So shouldn't we be calculating bias wrt to $Y$? Also, I ...
Selvam's user avatar
  • 93
2 votes
1 answer
39 views

Metrics - multi-class model comparisons

I am looking for a way to quantify the performance of multi-class model labelers, and thus compare them. I want to account for the fact that some classes are ‘closer’ than others (for example a car is ...
Tavi's user avatar
  • 21
2 votes
0 answers
35 views

Financial Time Series and Machine Learning question

I am working on a Machine Learning project applied to a financial time series. Initially, I grabbed features (open, high, low, close) and implemented a Random Forest. One of the subsequent tasks ...
Bobozilla's user avatar
2 votes
0 answers
32 views

How to use learning curve in reality

CONTEXT: I have some simulated data by which I made and trained a model. during my training, I enjoyed having a large number of samples, and therefore my model is leveraging it by being decently ...
arash's user avatar
  • 85
2 votes
0 answers
25 views

How to find transictions and group variables

Having a dataset like this: ...
Nathalie's user avatar
  • 147
2 votes
0 answers
32 views

Interpretable models apart from Logistic Regression

I am wondering about other interpretable models apart from logistic regression. I am looking for models that can interpret the effect on the target variable by unit change in any feature variable. I ...
SKB's user avatar
  • 554
2 votes
1 answer
199 views

How to retrain a K-Modes model based on daily data?

I have read that retraining a model depends highly on what you are trying to achieve. I am conscious that maybe I need to retrain my model daily and after a certain time I have to train the model ...
davidaap's user avatar
  • 121
2 votes
1 answer
1k views

How can I "export" a model from Orange once I have prototyped a solution?

Using Orange, I would like to use the underlying python model within the control system of my device. A device is a simple machine that is not connected to the internet. My intent is to use the ...
Peter's user avatar
  • 21
2 votes
0 answers
130 views

Implementing a Kernel Adaptive Filtering model explained in a paper

In this paper, Stock price prediction using kernel adaptive filtering within a stock market interdependence approach, the authors propose a method for predicting stock prices by combining the ...
KOB's user avatar
  • 189
2 votes
1 answer
301 views

Speed for different kernels in scikit-learn's SVM

I'm using scikitlearn in Python to create some models while trying different kernels. I was surprised to see that rbf was fit in under a second, whereas linear took a minute and poly took hours. Can ...
sonnv's user avatar
  • 21
2 votes
1 answer
75 views

Estimating location in a model

I have a big dataset with 10 columns and about a 100,000 rows. Each 5 rows represent a person being tracked and the data related to this tracking such as time, velocity, etc. the last two columns are ...
principe's user avatar
2 votes
1 answer
107 views

Can I forecast with discontinued data using ARIMA?

I have data for sales on monthly basis, but a few months' information is not in the CSV file or data file. Can I forecast or fill that missing month with other calculated values from present records? ...
Bipul's user avatar
  • 201
2 votes
0 answers
60 views

ML/Statistical Model to Analyse the Distribution

Consider a Sample Data-set provided below; ...
James's user avatar
  • 65
2 votes
0 answers
20 views

What is the interest to implement a statistics model in a groupby object instead of use the whole groups in a sample?

I saw this topic and also this one in dask documentation. I wonder what is the real interest to make a model for each group instead of considering a whole sample where all groups would appear? As far ...
AvyWam's user avatar
  • 213
2 votes
0 answers
98 views

Image resizing to be done programatically or taken care by model config file in tensorflow?

For Deep Learning using Tensorflow, is it necessary to resize the images to a predefined width and height before before training using a model? OR In model configuration file , I noticed this ...
addcolor's user avatar
  • 173
2 votes
0 answers
53 views

Split large dataset for predictive modeling using rsparkling -sparklyr

I am trying to build machine learning models (GBM, RF, Staking) on top of a dataset that is about 3G in size on my local computer. However, I only have 4G memory (only 2G are available). My question ...
Safa's user avatar
  • 21
1 vote
0 answers
68 views

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
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
  • 111
1 vote
0 answers
24 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
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
1 vote
0 answers
209 views

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-...
Alec van der Linden's user avatar
1 vote
0 answers
23 views

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 ...
Apoorva Srinivasa's user avatar
1 vote
0 answers
37 views

ML Modeling Recommendation for Predicting Snake Encounters in Historical Journey Data

I have a dataset consisting of historical journey data where individuals travel from point A to point B. During their journeys, they may encounter varying numbers of animal sightings, including snakes....
Sita's user avatar
  • 11
1 vote
0 answers
242 views

Common sense fixes to a buggy diffusion model that won’t overfit one sample?

hope this question is in the right place. I’m working with a toy diffusion model to generate points e.g learning a Swiss roll which to me is a basic use case that I wanted to start with. My model is ...
pxvxrx's user avatar
  • 11
1 vote
1 answer
694 views

LLAMA MODEL WITHOUT USING HUGGINGFACE API

Is it possible to obtain the llama model alone as open source code without using the Huggingface API so that it can be hosted on our server?
Anagha M P's user avatar
1 vote
0 answers
14 views

NLP: Infer intent of finalising a transaction in a dialogue/chat system

I have been tasked with tacking the following problem and I wanted to ask for different approaches on how to best approach it. Problem I am looking to infer the intent of finalising the transaction ...
Andros's user avatar
  • 11
1 vote
0 answers
196 views

ValueError: Found input variables with inconsistent numbers of samples: [120, 30]

I practice XGBClassifier() to predict the target in iris dataset. here is the code: ...
BADREDDINE BALAJ's user avatar
1 vote
1 answer
65 views

Rule based vs predictive maintenance models

I have data for pumps which have one or more sensors to record the air pressure. Apart from the sensor_id and timestamp, with ...
SageMaker's user avatar
  • 185

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