All Questions
8 questions
3
votes
1
answer
27
views
When using class weights is bad?
I have a DB with 50 different classes.
One of the classes has x10 more data than the other classes.
Each class has ~20K samples and the 'big' class has ~200K samples
When training classification model ...
- 527
0
votes
1
answer
152
views
Classification on severe Class Imbalance high dimensional data
Dear DataScience Community, I am working on class imbalance tabular data with high-dimension inputs. The tabular data is derived from the satellite data pixels, and I have inflated the train data ...
- 101
0
votes
2
answers
91
views
Creating dataset - imbalanced or balanced?
I'm trying to make an image classification model and I have 5 classes - A, B, C, D, E. The goal is to get the highest possible classification accuracy.
I have a database of images and I'm selecting ...
- 101
1
vote
1
answer
1k
views
Which Classification Metrics Are Appropriate For Each Class Distribution Scenario?
Currently, I have a balanced dataset (that I artificially over-sampled to make it balanced). My classes are binary (0 or 1). I'm wondering if "accuracy" is the "best" metric to use in the situation ...
- 239
11
votes
2
answers
1k
views
When do we say that the dataset is not classifiable?
I have many times analysed a dataset on which I could not really do any sort of classification. To see whether I can get a classifier I have usually used the following steps:
Generate box plots of ...
- 188
1
vote
2
answers
101
views
What can be done to increase the accuracy of a biological dataset? [closed]
I have a biological unbalanced dataset on which I have applied deep learning, Support Vector Machine (all the kernel functions) and Artificial Neural network for multiclass classification (size: 139 ...
- 1,161
5
votes
1
answer
26k
views
How to do imbalanced classification in deep learning (tensorflow, RNN)?
I am trying to do binary classification of News Articles (Sports/Non-Sports) using recurrent neural net in tensorflow. The training data is highly skewed [Sports:Non-Sports::1:9].
I am using cross-...
- 187
3
votes
1
answer
109
views
What are the possible ways to handle class unbalance in a large scale image recognition problem with Deep Neural Nets?
I have 22 classes of objects but they have very skewed distributions where max class has 100.000 images and the min class has 1600 images. In that setting I would like to hear some possible solutions ...
- 191