Questions tagged [multiclass-classification]

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Is it possible to get this loss with spikes, when training an LSTM with the cross-entropy on a multi-class classification problem of a time series?

The main question here will be "should I look for a bug?" My setup is a time series multiclass classification task, labeled per frame. I am using an LSTM, feeding inputs and using ...
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154 views

How do I calculate the probabilities of the BERT model prediction logits?

I might be getting this completely wrong, but please let me first try to explain what I need, and then what's wrong. I have a classification task. The training data has 50 different labels. The ...
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Using one-class classification first to find anomalies then apply multi-class classification

I'm new to machine learning and trying to apply it for fault detection, an idea came to mind which is using only anomaly detection after which if the results after a while come up as positive, a multi-...
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29 views

Multi class text classification when having only one sample for classes

I have a dataset of texts, each text was identified with an ID number. I would like to do a prediction by finding the best match ID number for upcoming new texts. To use multi text classification, I ...
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When computing the ROC-AUC score for multi-class classification problems, when should we use One-vs-Rest and One-vs-One?

The sklearn's documentation of the method roc_auc_score states that the parameter multi_class can take the value ...
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Is Mask R-CNN suited to solve a multi-class classification problem where the classes are related?

I want to create a model to solve a multi-class classification problem. Here are more details about my problem. Every picture contains only one object The background is very simple All objects ...
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59 views

How can I prevent the CNN from classifying a new input into one of the existing labels (it was trained with) when the input has a new different label? [duplicate]

I'm trying to perform image classification with a CNN. In my case, the inputs are the covers of 9 books, so there are 9 labels. I am using TensorFlow's Keras. If I pass a new input (that has a label ...
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How to implement an “unknown” class in multi-class classification with neural networks?

For example, I need to detect classes for MNIST data. But I want to have not 10 classes for digits, but also I want to have 11th class "not a digit", so that any letter, any other type of ...