All Questions
Tagged with class-imbalance multilabel-classification
12 questions
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24
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Movement in cohorts
I am working on a user sales data which gets updated week over week. Based on the sales done in each week, the user is categorized in segment A, B or C. This means size of each segment could change ...
- 31
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0
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28
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Which model to use for multitarget classification with strong class imbalance and many categorical variables?
I have a small dataset 79 observations in 21 variables.
Almost all the variables are categorical variables in the format yes/no or 1/2/3.
I would like to predict jointly three of these variables ...
0
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0
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178
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The paradox of Imbalanced binary classification ¿To do something or to do nothing?
Context: Suppose we are interested in deploy a machine learning model to solve a problem of binary classification; furthermore, assume that the dataset $\mathcal{D}$ for the training of our model ...
- 143
1
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1
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398
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Class imbalance: Will transforming multi-label (aka multi-task) to multi-class problem help?
I noticed this and this questions, but my problem is more about class imbalance. So now I have, say, 1000 targets and some input samples (with some feature vectors). Each input sample can have label ...
- 23
2
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1
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50
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Some questions about supervised learning, model evaluation and preprocessing [closed]
I've been trying to employ some basic techniques of supervised learning on a dataset that I have and I have several questions about the overall procedure (i.e. data preprocessing, model evaluation etc)...
- 123
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161
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What are the best ways to balance the classes in multilabel classification?
I have around 1000 rows of data with 9 labels. Each label can be either 1 or 0. Out of 9 labels I have 1 label which has 600 1s , 3 labels which have around 300 1s rest are having around 50 1s. I ...
- 169
1
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1
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943
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Test set larger than train set [closed]
There is a two class dataset with 1121 values in total, having 230 from same class and 891 from the other class. The training set is choosen as 230+230=460 from both classes and the test set as the ...
- 37
8
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2
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110
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Which classification algorithms are negatively affected by class imbalances?
I've seen a few posts and papers floating around the web (mostly those related to over/undersampling, SMOTE, and cost-sensitive training) that, when discussing class imbalance, specify that certain ...
1
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1
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102
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What are some possible reasons that your multiclass classifier is classifying alll the classes in a single class?
I have unbalanced classes.
Group1 N = 140
Group2 N = 35
Group3 N = 30
I ran the code on this data and all the Groups got classified as Group1.
I thought that since group1 is the majority group this ...
- 725
5
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1
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12k
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What is the best way to deal with imbalanced data for XGBoost? [closed]
There are a lot of way to deal with class-imbalanced data like undersampling, oversampling, changing cost function etc.
https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-...
- 211
1
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1
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1k
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How can I perform multi-label classification if many labels are missing? [closed]
I have a large set of documents, usually 500-2,000 words each, and for several different labels, there are about 20-100 samples with those labels, and hundreds to millions more that should be labeled ...
- 140
3
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2
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3k
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How to deal with classification problem where labels are non uniformly distributed?
I have a data set which has around 1000 samples and are divided in 4 groups - A, B ,C , D. The problem I am facing is that there are very high number of data sample which have B and C s output. They ...
