Questions tagged [multi-class]
Multiclass classification is a classification task in which there are more than two classes. It is also called multinomial classification.
432 questions
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Cross-validating multi-output models: importance + SHAP
I am currently developing a project that deals with multiple targets which can have different numbers of cardinalities. The idea is to use different ML-models(e.g. Random Forest, SVM, AdaBoost) and ...
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I don't understand ISLP's arguments against using regression methods for classification
In the classical text 'An Introduction to Statistical Learning with Applications in Python' (ISLP), the authors try to make arguments to illustrate why regression methods should not be used for ...
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Hyperparameter tuning for CatBoost
I'm fine-tuning hyperparameter of my CatBoost model for a multi-class problems. May I ask is this all the hyperparameter that I should tune, and if the range is the optimal range to start-tuning?
<...
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Best way to tackling SVM fine-tuning
I'm encountering a multiclass classification problem where I'm trying to predict 4 categories using SVM. I'm trying to fine-tuning its hyperparameter using Bayesian Optimization to speed up the ...
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How to Model a Multi-Label, Multi-Class Classification Problem for Defect Detection in Manufacturing?
Problem Description:
In a manufacturing plant, products are inspected for defects. Each product can have zero, one, or multiple types of defects present. Each defect type belongs to one of three ...
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Using a CNN model with Transformer for classification
if I want to use a CNN+transformer for action recognition,the CNN for extracting spatial information and Transformer for modeling the temporal dependancy between frames for first attempt I used 2D ...
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In Deep Learning Image Segmentation : Is it better to train N models for N classes vs. One model of N classes
I was wondering if you have any recent publication references or any experience about the "Is it better to train N models for N classes vs. One model of N classes" issue in Deep Learning ...
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Reason for softmax approximation in Ian Goodfellow's deep learning book
In section 6.2.2.2 (equation 6.31) they state:
Overall, unregularized maximum likelihood will drive the model to learn parameters that drive the softmax to predict the fraction of counts of each ...
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How to train a neural network to identify multiple features in one image, where the order of predicted features doesn't matter
I recently created a toy dataset for myself, which I call "multi-color MNIST", where multiple digits with different colors appear on a single RGB image. See the image I attached. I am using ...
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Bayes Risk for multi class classification problem
Suppose there are $K$ classes with densities $f_1, f_2,....,f_K$ and priors $\pi_1, \pi_2,....,\pi_K$ respectively. We know that the Bayes rule is given by $$\delta(x)=\underset{i=1,....,K}{\text{...
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Optimize precision and recall for specific classes in an imbalanced classification problem
I have three classes {-1, 0, 1}. The data is in the ratio 1:20:1 on average for the corresponding classes. I want to achieve
High precision(>70%) and average recall (30%-40%) on classes -1 and 1.
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False Negative vs False Positive for Multiclass classification
Suppose I have three classes 1,2,3.
And there's evaluation like below, where second element is false prediction where model predict class 3 while ground truth is 2.
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Model training loss always converge to 1.35
I'm trying to create a multi-class classification model using RNNs. The input data has a sequence length of 90 and consists of 5 features, normalized to the [0,1] range.
Here's the network ...
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Calibrating CatBoostClassifier produces worse results
I'm performing multiclass probability prediction using CatBoostClassifier on a dataset with ~4000 rows, 13 features, 4 target classes. Dataset has outliers, but it is balanced.
For this task I'm using ...
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How to evaluate multi-class classifier on probability prediction task?
I have a balanced dataset where each object (song) has one of the four target class labels (mood of a song). Example:
ID
feature1
feture2
feature3
target_class
0
0.5
0.11
125
upbeat
1
0.23
0.75
136
...
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