Questions tagged [multi-class]

Multiclass classification is a classification task in which there are more than two classes. It is also called multinomial classification.

Filter by
Sorted by
Tagged with
0
votes
1answer
25 views

Is there any model that can handle time ordered multi classification?

I'm working on a little project and the task's the following: There are transactions for 16 products and ~75.000 clients on a 18-month time series, where each row is one transaction from one client-...
0
votes
0answers
4 views

Is it possible to identify which features contribute to the precision and recall for each label in sklearn's classification report output?

Below is an example of classification report output by sklearn. Is there an easy way to identify which features contribute to the precision and recall improvement for each label? I can start with ...
0
votes
0answers
6 views

Text MultiClass Classification - How many labels needed

I have a dataset similar in build to a product - category list with 5 categories and 2000 labelled products. I am new to ML but was wondering what the best approach for classification with limited ...
0
votes
0answers
11 views

How to report a confidence score of a multiclass classifier?

If we have a model which outputs class probabilities for $K$ classes, e.g. a NN with softmax layer, how can we return an aggregate "confidence metric"? Some intuitive ideas would be the ...
0
votes
0answers
20 views

Precision-Recall Curve Intuition for Multi-Class Classification

I am running a CNN image multi-class classification model with Keras/Tensorflow and have established about a 90% overall accuracy with my best model trial. I have 10 unique classes I am trying to ...
1
vote
1answer
18 views

What is a good model for heavy multiclass problem and small number of (textual) features? [closed]

I have a data set with a small number of textual features (less than 10) and a response variable with a lot of classes (~100). Is there any recommendation for models that are powerful for this kind of ...
0
votes
1answer
18 views

Random forest hyperparameter to control misclassification

May I know what hyperparameter to tune for random forest classifier to control misclassification? I'm doing a 5-class classification problem and it turns out that most classes are been misclassified ...
0
votes
0answers
13 views

SVM predicts always the same class

I have a dataset with tf-idf values and their corresponding classes and I am trying to do predictions using SVM. The problem is that all the results that it produces have the same class. Most related ...
0
votes
0answers
12 views

DL model for solving a multi-class classification problem works fine for the first class and then the performance gradually drops for other classes

I designed an AE shaped deep neural network to perform a multi-label class classification. The classes are not mutually exclusive. The last layer has n neurons; one responsible for each class. I pass ...
0
votes
0answers
20 views

multi-label classification in keras with huge number of classes

I have a training data of shape (100000,1200) and associated classes of size 3000. i.e, each sample has 1200 features and has to be mapped to one of the 3000 classes. How many hidden layers are ...
0
votes
0answers
11 views

Metrics to optimize imbalanced multiclass classification [duplicate]

I am working on a problem regarding authorship-attribution. Our multilabel (three possible authors) data set is highly imbalanced. We already took steps to solve the class-imbalance problem (by ...
0
votes
0answers
7 views

Classification with sub categories

I am wondering what the best strategy is for classifying data into multiple categories with sub-categories. For example, let's say I measure several parameters from some individuals. I categorise them ...
0
votes
1answer
28 views

Multiclass classification cross validation

Suppose that I am doing a multiclass classfication problem where some of the classes only occupies a very low percent of the whole training data. It is possible that when I divide it into k folds, ...
0
votes
0answers
21 views

Random forest to predict class probability based on sample data with multiple categories per sample

I have a dataset with plant families that are present in a plot survey. There are multiple locations (>17), and multiple replicate samples at a location (>4), and multiple sampling dates (9). ...
0
votes
1answer
32 views

Cox proportional hazards with multiclass dependent variable

Is it possible to perform a multiclass Cox proportional hazards model? I'm interested in finding the probability of self cure on consumer loans, or just study how self-curing clients behave so as to ...
0
votes
0answers
20 views

Neural network performs well on test but classifies completely the opposite when used to classify on training data

I have a neural network that is being used to classify three classes -1, 0, 1. It going to be applied to time series data to determine a class at each time point to ...
0
votes
0answers
17 views

Need statistical features of time series for classfication

I have a time series classification task to solve, based on statistical features like maximum, minimum, standard deviation, etc. It is a multiclass classification and my estimator seems to be confused ...
0
votes
0answers
42 views

Compare multi-label and multi-class results

During the last week I did a lot of research on how solve multi-label classification problems. One of the methods to solve this is by training a multi-class classifier on a Label-Powerset. So I ended ...
3
votes
0answers
33 views

Sample size vs F1-score, which is more important (small sample size)

I work in a filed were there are many publications based on classifiers trained on small samples sizes (but large amount of features). In most cases the sample size can only be increased by a few ...
0
votes
0answers
20 views

How to create an ROC model using three classes

I am trying to create a ROC plot based on response variable with three classes. I believe that is possible based on the answer to this question Here. In the answer provide in this question though, ...
1
vote
1answer
25 views

Obtaining Raw Probabilities From OVR Logistic Regression

I am relatively new to machine learning and I am working on a multi-class classification problem. I am attempting to utilize OVR logistic regression. When you run through an OVR model, the end result ...
0
votes
0answers
6 views

Labeling Multi-class images

I don't know if this is the right platform to ask the following or not. I am working with Raster images (multispectral-optical satellite images) and I want to use machine learning/deep learning for ...
1
vote
1answer
47 views

Multi-class classification with prior knowledge of class similarity?

Backrounds I would like to build a model that predicts a month label $\mathbf{y}$ from a given set of features $\mathbf{X}$. Data structure is as follows. $\mathbf{X} : N_{samples} \times N_{features}...
0
votes
0answers
18 views

NLP multiclass classification with many sparse classes

I am attempting to use natural language processing to geocode "addresses". The address is the result of a write-in of a survey where the respondent is instructed to give their city, state, ...
1
vote
1answer
34 views

Possible reason for high accuracy model

I have developed a multi-class Random forest model and it’s working great (well, almost too good). I am getting very high accuracy, sometimes even 1. But I am kind of suspicious about this result. ...
0
votes
0answers
13 views

Implementation of the multi-class XGBClassifier with a “one-vs-one” strategy

The Scikit-Learn Wrapper interface for XGBoost provides a direct and easy to use multi-class approach within it's API. However, it implements the one-vs-all ("one vs. the rest") strategy. Is ...
0
votes
0answers
33 views

Increase in SVM Classifier performance after binning

I've been working on a classification problem, and I ran into something rather strange. The original problem has continuous features and three labels. I then mapped the continuous features to binary ...
0
votes
0answers
52 views

Prediction Confidence in Multi-Class classification when number of classes are higher

In multi-class classification problem, if number of classes increase, the individual class probability of the model will decrease. In this scenario, model prediction probability should not be a true-...
0
votes
1answer
94 views

Multi-class evaluation: found different macro F1 scores, which one to use?

I want to evaluate my multi-class classifier against a gold reference and obtain a single score that reflects its performance. In my data I have many classes that are important but rare, so I was ...
1
vote
0answers
22 views

Classification model to classify large number of classifiers?

Hello I am very new into the field of machine learning/deep learning , and I am finding it hard to select the right model for my research. What I am trying to build is a model to classify which ...
0
votes
0answers
31 views

Evaluate unbalanced multiclass classifier per class

I have multiclass classifier for 3 classes (A, B, C), where the dataset is really unbalanced. Lets say A has 10 000 samples and both B and C have around 1 000. I would like to evaluate this ...
0
votes
1answer
25 views

How to get boundary points that are at interface of differnet classes in multilabel classification dataset

I am working on finding points which are at boundary of different classes. In other words finding points on which a classifier would be most confused or uncertain about. For a setting like multi label ...
0
votes
0answers
22 views

Evaluating diagnostic tools predicting multiple conditions

I'm dealing with a problem I've never tackled before. I have to compare two diagnostic tests, which are used to predict the presence of a certain number of conditions, all belonging to the same family....
0
votes
0answers
19 views

Missing values in dataset

I'm working with this public dataset : https://data.mendeley.com/datasets/rwbs7645hg/1 . In each row of this dataset there should be 100 values. One such row: ...
1
vote
0answers
25 views

Is Multiclass classification prone to have lower accuracy than binary classification classification?

Is Multiclass classification prone to have lower accuracy than binary classification classification? I used the k-means and elbow method to determine number of actual labels in my data and there were ...
0
votes
0answers
28 views

What are the best metrics to evaluate a multiclass classification model? [duplicate]

I have a multiclass classification problem I have 5 classes and data highly unbalnced class 01: 6 class 02: 100 class 03: 9300 class 04: 200 class 05: 34 I have used K fold cross validation ...
1
vote
1answer
14 views

Multi-class classification - confusing some classes is worse than others

I am quite a Rookie concerning machine learning and now thinking about the following problem: I want to assign a person to one out of 6 groups, let's say concerning their favorite colour --> works ...
0
votes
0answers
19 views

Using pos_weight to improve recall in a multi-class multi-label problem

I have a multi-label classification problem, and so I’ve been using the Pytorch's BCEWithLogitsLoss. I’d like to optimize my model for a higher F2 score, and so want to bias it to have greater recall (...
0
votes
0answers
13 views

Testing Multivariate Group Homogeneity

I have a multivariate dataset with data from several groups. I'm interested in determining at what point are two groups similar enough such that they can be treated as a single group for sampling ...
0
votes
1answer
199 views

Cumulative Matching Characteristic (CMC) curve for multiclass setting

The CMC curve is supposed to be calculated for a gallery and a probe set, both sets of vectors identifying some person. What if I train a model on a closed set of say 10 people with 10 samples (e.g. ...
0
votes
0answers
24 views

Multi classification under background noise. Multi label vs. per-label model

I have an audio classification problem with $c\in C$ labels. I intended to introduce some interference to the samples. Here, interference means a second source of sound which is out of my dictionary $...
1
vote
1answer
21 views

Select top-k feature from a categorical variable using $\chi^2$

I am working with a categorical variable that has a lot of levels (let's say more than 20). I would like to binarize all the levels doing one-hot-encoding in order to use these new variables in a ...
1
vote
0answers
59 views

Multi-class classification where classes have a ranking

I am trying to come up with a Machine Learning based solution for a situation that involves automatically classifying a number of people into 4 classes - Class 1, Class 2 , Class 3 and Class 4. The ...
0
votes
0answers
18 views

Is it reasonable to use one vs all(one vs rest) this way?

I am making a multiclass classification model(XGBOOST). But it's not separated well. Some category are dependent on each other. Suppose categories are A B C D E, and C D are dependent on each other ...
0
votes
0answers
115 views

Improving multiclass classification accuracy for LSTM network

I am working on time series multiclass classification task. My data consists of 5 features (3 categorical and 2 numerical features) and 3 classes target value. Here are the histograms of the class ...
1
vote
0answers
17 views

when is it better to use One Vs All and when to use One Vs One in Statistics and Machine Learning?

I would love to further understand the uses and the application because while I understand the difference I still don't know which one is better for which type of problem.
0
votes
0answers
41 views

Multi-classification: low precision due to imbalanced classes in test data - what to do?

I built a multi-classification model with 3 result classes (XGBoost using R's caret-package): A, B and C. I undersampled my training data - so every class is equally abundant for training. The ...
0
votes
0answers
15 views

What scoring metric is optimal when performing hyperparameter optimization with a multiclass target variable?

I'm trying to find the optimal hyperparameter for different algorithms where the target variable has 3 classes. I was wondering if maximizing the average AUC over the 3 classes, which I'm currently ...
2
votes
0answers
48 views

Is better to use a multiclass classifier or a set of binary classifiers?

I have to build a general method to perform multiclass classification. The number of class in the target variable is not fixed (it is probably in a range between 3 and 10). I would like to know if it ...
0
votes
1answer
81 views

Custom metrics for multiclass classification when class errors have different weights

I have a multiclass classification problem (eg. the target variable is made by 4 different outcomes: Product A, Product B, Product C and NO Product). Not all the errors are equal: for example, if the ...

1
2 3 4 5
7