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Share Your Experience: Take the 2024 Developer Survey
Alireza Zolanvari's user avatar
Alireza Zolanvari's user avatar
Alireza Zolanvari's user avatar
Alireza Zolanvari
  • Member for 5 years, 5 months
  • Last seen more than a month ago
5 votes

Imbalanced classes (balance of train, validation, and test)

3 votes

How correctly assign weights to minority class or samples in ANN?

3 votes

When should you balance a time series dataset?

3 votes

How to Work with Imbalanced Data

3 votes

Good performance metrics for multiclass classification problem besides accuracy?

2 votes
Accepted

Stacked barchart, bottom parameter triggers Error: Shape mismatch: objects cannot be broadcast to a single shape

2 votes
Accepted

Confusion matrix plot with python

2 votes
Accepted

What does the color coding and normalized values in confusion matrix actually specify?

1 vote

How to select between models when AUC scores are similar?

1 vote

What is the best way to organize the datasets for my task?

1 vote

oversampling data with subclass

1 vote

What is the best way to compare various classification models?

1 vote

Best methods to solve class imbalance problem and why?

1 vote
Accepted

Doubt to use accuracy or macro f1 measure in an unbalanced classification task

1 vote
Accepted

what is the best approach to detect small objects with similar shape?

1 vote

How to estimate the not available observation in time series data?

1 vote

Python library that can compute the confusion matrix for multi-label classification

1 vote

How to best estimate the coefficients of a confusion matrix in case of strong class imbalance?

1 vote

using sklearn class weight to increase number of positive guesses in extremely unbalanced data set?

0 votes

How to compute precision and accuracy of a sequence that is not strictly binary?

0 votes

Weights not converging while cost function has converged in neural networks

0 votes

Classifier for large number of labels

0 votes

How can I evaluate data mining model?

0 votes

What is a suitable loss function and evaluation metric for a classification model with large number of unbalanced target classes?

0 votes

When to consider a target Variable unbalanced?

0 votes

Highly Imbalanced dataset fro classes more than 200

0 votes

How to quantify the performance of the classifier (multi-class SVM) using the test data?

0 votes
Accepted

How could I go about finding the weights or importance of inputs based on outputs?

0 votes

Validation data shall be in broken down into batches or not?

0 votes
Accepted

How to choose an optimal threshold for binary discretization