Questions tagged [multi-label-classification]
For questions related to the multi-label classification problem, i.e. each example (or instance) can be labelled with more than one label.
22
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5 views
How to deal with unbalanced data in multilabel classification problem
I have 3 possible solutions, but I am not sure if they are good. I think they are a bit clunky (especially 1st and 2nd).
Use multiple small models. So instead of having the model that can tell you ...
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0answers
31 views
Do the terms multi-task and multi-output refer to the same thing in the context of deep learning?
Do the terms multi-task and multi-output refer to the same thing in the context of deep learning (with neural networks)? For example, do neural networks for multi-task learning use multiple outputs?
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1answer
89 views
What are pros and cons of using a multi-head neural network versus a single neural network for multi-label classification?
I haven't been able to find a good discussion specifically comparing the two (only one describing a classification and regression problem). I am training a classifier to learn both age and gender ...
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1answer
33 views
Why is the validation loss less than the training loss, and what can be said about the effect of the learning rate?
I have the following results I am trying to make sense of. I have attached the loss curves here for reference.
As you can see, the first issue is that the validation loss is lower than the training ...
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0answers
35 views
Why is the F-beta score not increasing while the validation loss fluctuates?
I'm trying to implement a multi-label image classification from a CT scan data set. The goal of the work is to find out which CT scan image has eleven of the most common fractures if it is fractured. ...
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14 views
How to use MultiTarget Regression without classes
I would like to forecast a dataset composed of two attributes, a sample is displayed below:
...
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0answers
28 views
Multi-target regression using scikit-learn without ytrain
I would like to use the multi-target regression with scikit-learn. However, the examples I've seen use Xtrain and ytrain?
What is ytrain in regression?
I know y it is used for classes in ...
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0answers
16 views
How to get the prediction probability of random sample image from multiclass classification model?
I am performing classification using AlexNet as transfer learning(simply say performing classification using CNN) for five types of class on 18000 images. These 18000 images are divided into Train, ...
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1answer
32 views
Adding Class Weights for imbalanced dataset?
Suppose I have the following toy data set:
Each instance has multiple labels at a time. Now you can see I have 2 instances for Label2, however, only one, one instance for other labels. It means, we ...
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21 views
CNN to detect presence/absense of label on images with mixed labels
Here's my problem: I work with medical image classification, and currently I have 3 classes:
class A: images with lesion 1 only; and images with lesion 1 and N other lesions
class B: images with 2 ...
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0answers
23 views
What is the best way to do classification using both text and numerical data?
For my BSc thesis I am trying to classify asset price direction (up/down/neutral) using numerical features and Swedish text. The text is short financial news (ca 50 words each) that have sentiment ...
4
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2answers
77 views
How do you measure multi-label classification accuracy?
Multi-label assignment is the task in machine learning to assign to each input value a set of categories from a fixed vocabulary where the categories need not be statistically independent, so ...
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0answers
33 views
how to handle highly imbalanced multilabel classification?
I am working on a multilabel classification in which I am having 206 labels. When I saw the percentage of the number of 1's in each label they are way less than 0.1% for each label. The maximum ...
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2answers
61 views
Should I use additional empty category in some categorical problems?
I try to create autonomous car using keyboard data so this is a multi class classification problem. I have keys W,A,S and D. So I have four categories. My model should decide what key should be ...
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0answers
11 views
How to identify a certain part of a text based on some criteria given the beginning and ending info as training data?
I want to know which kind of machine learning algorithms or techniques shall I use to solve such a problem
for example, I have this text below
...
2
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1answer
49 views
How do RNN's for sentiment classification deal with different sentence lengths?
I have been doing a course which teaches you about Deep Neural Networks, during one of the exercises I was made to make an RNN for sentiment classification which I did, but I did not understand how an ...
4
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3answers
1k views
Can I do image classification with Multi Layers Perceptron (MLP)?
I'm seeking guidence here.
Can I use Multi Layers Perceptron (MLP), e.g regular flat neural networks, for image classification?
Will they perform better than Fisher Faces?
Is it difficult to do ...
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1answer
2k views
How to train a LSTM with multidimensional data
I am trying to train a LSTM, but I have some problems regarding the data representation and feeding it into the model.
My data is a numpy array of three dimensions: One sample consist of a 2D matrix ...
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0answers
65 views
Neural network to extract correlated columns
I want to use a neural network to find correlated columns in a .csv file and give them as a output. The input .csv file has ...
2
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0answers
45 views
Recent algorithms for correcting mislabeled data using multilayer perceptrons
I am doing literature research on algorithms for correcting mislabeled data using multilayer perceptrons. Found an "old" paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al....
4
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1answer
76 views
Are the labels updated during training in the algorithm presented in “An algorithm for correcting mislabeled data”?
I am trying to understand an algorithm for correcting mislabeled data in the paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al. The authors are suggesting to update the ...
3
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1answer
81 views
Why is there more than one way of calculating the accuracy?
Some sources consider the true negatives (TN) when computing the accuracy, while some don't.
Source 1:
https://medium.com/greyatom/performance-metrics-for-classification-problems-in-machine-learning-...
