Questions about imbalanced-data
Read more about imbalanced-data
python (12.9k questions)
javascript (9.2k questions)
reactjs (4.7k questions)
java (4.2k questions)
java (4.2k questions)
c# (3.5k questions)
c# (3.5k questions)
html (3.3k questions)
How can I resolve imbalanced datasets for AutoML classification on GCP?
I am planning to use AutoML for the classification of my tabular data. But there is a moderate imbalance in the target variable.
When running my own model, I would either upsample, downsample or build...
Avantika Banerjee
Votes: 0
Answers: 1
AUROC for imbalanced dataset
this is my first question here and I hope you can help me.
At the moment I'm training a binary classifier for medical images and my dataset is imbalanced with a ratio of roughly 0.8 (negative) to 0.2 ...
user123
Votes: 0
Answers: 0
Does model underfitting based-on Accuracy matter for imbalanced data?
I am training a deep learning model on imbalanced data for binary classification. I used binary_crossentropy for the loss function and Accuracy for the metric. When I plotted the loss, I got an underf...
Siasma
Votes: 0
Answers: 0
Should we actively use the weight argument in loss functions
Most of the current machine learning libraries have loss functions that comes with a weight argument, which allows us to tackle unbalanced datasets. However should this feature be actively made use of...
tangolin
Votes: 0
Answers: 1