Questions tagged [classification]
In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership (label) is known.
classification
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Text clustering and classification model
What I want to do - I have a dataset of different phrases, I want to train a model which would set a few clusters depending on the dataset and then cluster the data for that clusters. i have an ...
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Why is sklearn's clf.tree_.value output (seemingly) probablistic instead of just showing raw value counts at a node?
I'm converting an old project code to code with updated libraries, and have narrowed down an issue that compares left and right values at a node. I've already verified that the trees have the same ...
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Image Classification Model halting at epoch 1/25, tensorflow keras model
I have been following a tutorial of a deep learning neural network model project and for some reason my model halts at the first epoch when trying to train on a dataset of images. I am not sure if ...
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Cross validation and MICE imputation [closed]
I'm working on a binary classification problem where I have some missing data. My initial idea was to use MiceForest. I'm also using stratified k fold technique (Data is imbalanced). I also want to ...
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how to create my svm to detect mobile malware using python language
I want to create svm machine to detect mobile malware how can I start? what do I need to start the project?
I have the dataset but I do not know how to start the Svm? I and new with this topic.
to ...
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How to Multi Label Classification Korean SpecialAI [closed]
I checked the URL https://github.com/sonnydfa/SpecialAI/, but it wasn't helpful. I want to classify characters written in Hangul and perform multi-label classification for sentiment analysis. Could ...
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why does GradientBoostedClassifer() in Python have random_state argument? [closed]
Running a gradient boosted classifier in Python:
clf = GradientBoostingClassifier(n_estimators = 100, max_depth = 8, random_state=1000)
I'm confused why there is a random_state argument. I think I ...
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Property 'SR_B1' of feature 'LC08_164038_20220112' is missing
I write the following code for random forest classification, but I received error "Property 'SR_B1' of feature 'LC08_164038_20220112' is missing."
var table = ee.FeatureCollection("...
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Tensorflow model trained on MNIST dataset gives low accuracy on own test images
I am training a model to identify clothes using MNIST dataset. I can train the model and get good accuracy using the dataset (0.87).
When I try with my own images of 10 files, I can get the model to ...
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Captum TCAV train.py sgd_train_linear_model() Where do the weights come from?
I am using the captum setup
https://captum.ai/api/concept.html
https://captum.ai/tutorials/TCAV_Image
In the Default Classifier the linear classification boils down to the function ...
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captum.concept.TCAV() custom classifier
I want to change the default classifier of the captum TCAV class with a custom own to do the calculation on the GPU instead and to batch it, because as it is it is slow. With the unchanged Captum ...
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Is there a way to modelize a partial predictor in a classification problem with an unbalanced target?
I would like to share with you a classification issue I faced during the modelling process. I have to create a model for an unbalanced binary target by 4 predictors where one of them has 45% of wrong ...
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Weighted F1-score
I'm training and validating models for a binary classification problem in a dataset that has great class imbalance.
When searching for metrics for evaluating the performance of the models, I found ...
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How can I make this while loop able to detect ancd classify objects only when they stops?
I have this while loop that takes a video and does the detection and clasification of some objects. I use yolov8 as a detector and efficientnetB3 as classifier. It works well but it does the detection ...
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Why do the sensitivity (recall) values differ between classification_report and precision_recall_fscore_support in a loop?
I am working with a synthetic dataset generated using make_classification from sklearn.datasets with 5 classes. I have trained a RandomForestClassifier on this data and am evaluating its performance ...
