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.
18
questions
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13 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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27 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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15 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
28 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
22 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 ...
2
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2answers
55 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 ...
2
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0answers
26 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 ...
1
vote
2answers
58 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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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
votes
1answer
44 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 ...
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22 views
How to represent labels in dialogue state tracking
In Dialogue State Tracking in most of the papers there is often a small figure that denotes how the data is structured for example Global-Locally Self-Attentive Dialogue State Tracker or Neural belief ...
4
votes
3answers
762 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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vote
1answer
1k 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 ...
2
votes
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
votes
0answers
44 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
votes
1answer
69 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
votes
1answer
80 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-...
