Questions tagged [multiclass-classification]
Multi-class classification is when you have a classification problem with multiple classes, specifically 3 or more classes. Many classifications are binary by design, therefore the additional nomenclature of multi-class classification was defined to describe algorithms capable of classifying datasets with more than 2 classes.
544 questions
2 votes
1 answer
222 views
Select top numerical features for a classification problem
I have 3 models and each model is solving tasks (say task 1 to 2). Once these tasks (of same type) are solved by the models; I am collecting 3 numerical features (say feature1 to feature3) for each ...
- 131
2 votes
0 answers
37 views
Including recent behaviour for predicting time between orders
I am building a model to predict when a given customer is likely to purchase at our store again (a time between orders problem). My current approach is as follows: Targets are bins in fortnights, e.g....
5 votes
1 answer
136 views
Feature for Classification
I have arrears data for 12 months, each months the data have these attributes, which are costumer ID, Type, Power, and the bill. I want to classify the customer based on the risk of their arrears ...
- 427
2 votes
0 answers
51 views
Reducing loss of multiclass classication problem
I have been reading a paper in which they theoretically showed existence of a Neural network model that can perform a algorithm which involves selection of stencils with 100% accuracy. So they ...
- 31
1 vote
2 answers
68 views
What do these train and test accuracy and loss graphs suggest ? Can train and test accuracy reach 80% after one epoch?
This is the accuracy and loss plot for CNN model. Is it possible that train and test accuracy may starts from 80% from the 1st epoch itself for 5 k fold.
0 votes
1 answer
73 views
Looking for PDF samples in different categories to train a data classification model
I'm looking for some 50-70 documents in each of the below categories to train a custom classification model that can identify the document category. Business card Booklet Post card Calendar Letter ...
- 101
3 votes
1 answer
149 views
My tree based models keep overfitting
This is a project of multi classification. Each model severely overfits. Decision Tree, Random Forrest and especially XGBoost. And the classification report reflects that. where the csv is https://...
- 51
2 votes
1 answer
50 views
Multilabel Classification with fixed number of outcomes
In multiclass classification, typically we have a dataframe that looks like ...
- 193
1 vote
1 answer
49 views
Multi label multi class binary numerical encoded output cannot be assigned weight in torch.nn.funcional.cross_entropy
I have a very unique multi-label multi-class problem. I have a neural network that outputs 6 logits. The number of classes that we are trying to predict are 2^6 i.e. I am encoding my output as a ...
- 21
1 vote
1 answer
39 views
Poor performance for two classer in a multi class classification
I have a multi class classification With 5 classes(tabular data), I used xgboost model, the model score well for 3 classes but poor for the raimainig classes(2 classes), I tried up-sampling and class ...
- 13
1 vote
0 answers
51 views
how to handle classification tasks with non-mutually exclusive labels?
I’m working on a classification problem where instances can belong to multiple classes simultaneously. For example: A movie can be tagged with multiple genres, such as "Action," "...
- 228
0 votes
2 answers
226 views
When should I do train test split and feature selection if my dataset is unbalanced?
I have a dataset containing ECG signals with 5 different classes describing the quality of a particular window of the ECG signal. I need to build a machine learning model to predict the signal quality ...
0 votes
1 answer
91 views
Analyzing Range of Features for Classification
I have developed a classifier with 5 ordinal classes, and I’m looking to do a detailed analysis on the range of values required for each class (1 through 5). For example, I want to understand how a ...
4 votes
1 answer
89 views
How to Incorporate Label Titles and Parent Folder Information in a Multiclass Classification Model Using Keras?
I'm building a multiclass classification system using Keras. I am working with a dataset that includes text data and its metadata. Both the text and the metadata are sequences of words. The output of ...
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1 vote
1 answer
81 views
How to aggregate classes for higher overall accuracy?
I have trained a classifier on a dataset that comprises a large number of classes. Some classes are easy to predict, whereas others are frequently misclassified. I would like to aggregate the classes ...
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