Linked Questions
14 questions linked to/from How to set class weights for imbalanced classes in Keras?
2
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Deep learning with Imbalanced classes [duplicate]
I am trying to model a packet data with 1 dimensional CNN but I have a very imbalanced classes in my target. I have 3 classes as class 0 has 53000 cases, class 1 has 300 cases and class 2 has 150 ...
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6
answers
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Deep network not able to learn imbalanced data beyond the dominant class
I have data with 5 output classes. The training data has the following no of samples for these 5 classes:
[706326, 32211, 2856, 3050, 901]
I am using the following keras (tf.keras) code:
<...
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9
votes
2
answers
13k
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How to plot learning curve and validation curve while using pipeline
I would appreciate if you could let me know in the following example code:
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0
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1
answer
35k
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TypeError: unsupported operand type(s) for *: 'float' and 'dict_values'
I'm attempting to compute the class_weights for an highly imbalanced set of 9 classes based on the examples discussed in How to set class weights for imbalanced classes in Keras?. Here is the code:
<...
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2
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4
answers
5k
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How to deal with class imbalance in a neural network?
Suppose we have a game and its action space contains two possible actions: A and B.
We have a labelled dataset of state-action ...
- 161
6
votes
1
answer
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Setting class weights for categorical labels in Keras using generator
I'm working on with an imbalanced dataset in Keras, and would like to give a higher weight to the samples from my minority class. The fit() function has a nice <...
- 161
2
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3
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5k
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Imbalanced Dataset (Transformers): How to Decide on Class Weights?
I'm using SimpleTranformers to train and evaluate a model.
Since the dataset I am using is severely imbalanced, it is recommended that I assign weights to each ...
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2
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3
answers
3k
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Why MLP only learns bias for unbalanced binary classification?
I just started training a MLP model on a data set which has the following statistics. Notice that both train and validation sets are unbalanced (88.4% negatives).
Note: The unbalance isn't caused by ...
- 291
4
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1
answer
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How to balance class weights correct for a CNN in Keras, given an unbalanced data set?
I want to use class weights for training a CNN with a imbalanced data set.
The question arise if the sum of the weights of all examples have to stays the same?
My previous plan was to use the ...
- 393
1
vote
1
answer
4k
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How to set class weights for imbalanced classes in Tensorflow? [closed]
Do we have an equivalence for the following question, but with tensorflow : How to set class weights for imbalanced classes in Keras? ??
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2
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0
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Training multi-label classifier with unbalanced samples in Keras
I'm trying to train a keras model that takes in samples, let's say $x_i$ for sample $i$, and predicts multiple independent labels, $\hat{y}_{ij}$, such that $\hat{y}_{ij} = 1$ if the model predicts ...
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2
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2
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145
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Imbalanced training set vs smaller balanced training set?
Say I am using a maximum likelihood approach and my output unit computes a softmax function. My training set is distributed as follows over 6 classes:
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- 215
0
votes
2
answers
121
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When to use GAN over conventional sampling methods?
Let's say I have a dataset from a diabetes hospital which has 30000 Type 2 diabetes and 300 Type 1 diabetes patients.
So this dataset has millions and millions of other data points like lab ...
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0
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0
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48
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Image classification with CNNs
I created an image classification model using CNNs for 235 classes and I got 71% accuracy on the test set. My dataset contains some classes with more than 1000 images and others with 30 images. For ...
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