Questions tagged [classification]

For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated organizing or indexing, assigning objects in view to types of obstacles or risks, writing or typing recognition, phonic recognition, .

125 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
1
vote
0answers
76 views

How to implement AI/ML to classify various types of files

I am working on a task that requires me to classify a large amount of mixed files on a backup drive (more than 10 TB with more than 32 million files) based on content. The included file types are ...
1
vote
0answers
194 views

Fuzzy confusion matrix for fuzzy classifier

Let us suppose I have a NxN matrix and I want to classify in M classes each entry of the matrix using a fuzzy classifier. The ...
1
vote
0answers
64 views

Learning from events. Supervised, Unsupervised or MDP?

I have a large set of simulation logs for a market simulation of which I want to learn from. The market includes: customers products (subscriptions) The customers choose products and then stick with ...
1
vote
0answers
82 views

Problem with the PLN classifier

I'm developing a chatbot, and to get the answer I'm using the Naive Bayes classifier by sorting the questions and answers. For those who want to see the whole project code and more definitions follow ...
1
vote
0answers
97 views

Infer dependent variables to produce output aligned to trained data

Hypothetical example, say I wanted: P(gender,ethnicity|age,hair); so that the input would aligned to a trained dataset of: ...
1
vote
2answers
49 views

Difference between training accuracy and calculating accuracy with class prediction

I have trained my neural network with a dataset of 11200 images, and its validation accuracy was 96%. I saved my model and load its weights to the same neural network. I chose 738 images of my dataset ...
0
votes
0answers
2 views

How do I classify whether a document is legal or not given a set of keywords that appear only in legal documents?

Let's say that I want to classify whether a document is a legal document or not. I have a list of keywords that will be presented only in legal documents. What is the proper way or algorithm to ...
0
votes
0answers
56 views

Finding the 'ultimate resolution' of an ANN

I want to use a neural network to predict the refractive index of a solution. My thinking is, instead of immediately training on many samples, I will first find the 'ultimate resolution' of the ...
0
votes
0answers
25 views

accessible subset of data impacts performance

I have a problem with a subset of my data which is as follows: I can train a model (doesn't matter what, xgboost, BERT, etc., it is a text classification problem), on my data and get a decent ...
0
votes
0answers
23 views

Binary classification to recognize blobs on pictures generates many false-positive results

I am training a NN for blobs vs non-blobs recognition. Blobs example: Non-blobs: Keras architecture is: ...
0
votes
0answers
19 views

Input with variable length Classification problem

I have a dataset with patient information with discrete labels (labels are stages of a particular disease) which needs to be predicted (Basically a classification problem). The data set looks ...
0
votes
0answers
16 views

How can I efficiently detect subsections?

I have a feeling this question has a lot of research into it, but I can't find any relevant results. I'm trying to compare the similarity of audio Here, I have 2 virtually identical samples; however,...
0
votes
1answer
38 views

Is it a good idea to overfit on a small part of your data for faster model convergence?

I working on a classification problem that needs to detect patterns on a time serie. Basically, there's a catch-all class that means "no pattern detected", the other are for the specific patterns. The ...
0
votes
0answers
11 views

Would truncating a trained CNN help with generalisation?

Say I have a very small dataset to do transfer learning with, for image classification purposes. And say that I know that what's most important in classifying these images is low level details like ...
0
votes
0answers
26 views

Does it classify as Machine Learning?

I have a gaussian distributed time series ($X_t$) with some parameters in my experiment. Suppose I want to know the mean $\mu$. If I define another time series $Y_t$ such that $Y_t=X_t-a$ for all $t$. ...
0
votes
0answers
12 views

Different results obtained for OneVsOneClassifier (or OneVsRestClassifier) when using ordinary KFold and StratifiedKFold cross validation

When I fitted a OneVsOneClassifier (or OneVsRestClassifier), I noticed I obtained different results when I used ordinary KFold and StratifiedKFold cross-validation. The testing set performance is much ...
0
votes
0answers
18 views

Tensorflow neural network - inherent overfitting in certain X and Y distributions?

Really open ended question here... I'm working on a classifier model that is used to predict whether some amount is > x, ...
0
votes
0answers
22 views

Human identification using gait analysis

I am working on a human identification by gait analysis project. So far, I have managed to extract the Gait Energy Image(GEI) of a silhouette. I am stuck on finding a way to move forward with my ...
0
votes
0answers
23 views

Model training with colored images instead of grayscale

I'm new to Python and Deep Learning with Keras. With some tutorials online for cat vs non-cat classification, I was able to compile this simple training code for my ...
0
votes
0answers
8 views

Fusing label distribution and on-hot encoded labels

A while ago I came across a paper for image classification that utilized both label distribution and one-hot encoded labels to classify images. An image has a label distribution for all classes (4 ...
0
votes
0answers
63 views

What to do when an image classifier does good for a class but bad for another?

So I wrote a convolutional neural network for a binary image classification. I have around 5300 images for each class which I thought would be enough to at least give me a good accuracy on the ...
0
votes
1answer
82 views

Should I use single or double view for gender recognition?

My project requires gender recognition of people shown on the given images, with more than one person per image. However, these people can be positioned in frontal or side view(passing by ...
0
votes
1answer
196 views

Detecting playing cards with a neural network

I want to train an AI to detect playing cards. For that reason I bought many different decks, scanned and labeled them. Next up would be to create training data with an augmentation library. I found ...
0
votes
0answers
37 views

Can we compare MAE MSE results with categorical_crossentropy?

can i compare MAE and MSE loss results of a regression CNN with categorical_crossentropy loss of a classification CNN if they both have similar tasks? is yes how to?

1 2
3