Questions tagged [multiclass-classification]

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Time Series Data Multi-Class Classification

This is a very general question, as I'm still very much in the learning phase with machine learning. I have some utility data around problematic meters. Even tho the data is "time series", I believe ...
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44 views

per class IOU & Jaccard Similarity in a Multiclass setting python

For a multiclass classification problem, How do you compute per class IOU ? I am using the formula which is referenced/accepted in the below link ...
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21 views

dealing with imbalanced data for multi-class problem

Based on the experiments I run for a number of times, and the reading I did on imbalanced data for a multiclassification problem such as this paper, resampling techniques like ...
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10 views

How do people deal with significantly uneven error in NNs

The following example is a common issue with multiclass classification problems: If we try to classify an object - let's say - by color (e.g. white, red, green, blue, black, transparent), a simple ...
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1answer
37 views

Multiclass classification dataset with many features producing bad accuracy of predictions

I have been trying to fix this for 2 months now with no luck. I am doing some medical research for my study. I have a dataset that has patients diagnosis based on medical reports (Features.csv) and ...
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1answer
37 views

How to cope with new/unseen targets classes in incremental learning algorithms

According to scikit-learn documentation1, the sklearn incremental learner itself may be unable to cope with new/unseen targets classes. Is there any available python machine learning library which ...
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6 views

Time series multiclassification on process measured multiple times

I have been measuring the power usage of a 3D printer for a while. To create a dataset I've measured the power usage of the printer during different printing processes a few times. The data is ...
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11 views

ML.net Text Feature Augmentation and Selective Normalisation

I'm in the middle of training a model for multi-class classification, I'm relatively green here and have a few questions for the more seasoned among you. Is it possible to progmatically add a line ...
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15 views

Upsell project based on sales records

in my company we are working on a upset project in which we are trying to solve the following problem: What we propose to our customer that he/she may be interested in based on the fact that he/she ...
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1answer
94 views

Multi-class classification with discrete output: Which loss function and activation to choose?

I'm working with a multi-class classification problem, using Keras Sequential models. In my dataset, the output class has one of the following values: ...
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1answer
11 views

How Hyper-linked library vs traditional library differs from each other as ML problem?

Traditional library can be understood as a system, that archives the collective information from the mediums produced by our society, by indexing them to shelves. It is assumed that libraries have ...
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19 views

How to prepare data for multi-class tasks

I wish to train a multiclass audio classification NN. I am following this paper and this tutorial. The thing is, for audio segments containing more than a single class, ...
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1answer
142 views

LSTM Multi-class classification for large number of classes

I want to build a model that classifies 473 classes -product categories-, but I'm facing a problem with loss not decreasing. Data I have almost 3,000 data points for each class -473 classes- (data ...
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18 views

statistical hypothesis and rejection

Recently I have to analyze the multiclass classification problem But, it's not just I have to predict and submit I have to make a hypothesis with this data and have to find the rejection methods for ...
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17 views

Sequential Forward Selection (SFS) for standard Feed Forward Neural Network

I'm comparing the classification performance (accuracy, f1-score etc.) of several predictive models (logistic regression, random forest, xgboost etc.) with a standard feedforward neural network. For ...
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52 views

Structured data classification based on rules

In my scenario i have a structured data that represent each an object of possibly a big objects collection. Each object, as said, is structured so there is no need to further manipulation to extract ...
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19 views

One label dominates in a multiclass classification problem when mapping scores to labels

I am supposed to map each person in my dataset to one of the n categories based on his propensity score. To achieve that, I constructed n models and obtained scores for each category. I did ...
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12 views

For a neural network trained to do multi-class classification, should I normalise the outputs when determining the “confidence”

Apologies in advance if this is a fairly elementary question - I'll confess to not paying enough attention in my ML classes! I have a neural network designed to do multi-class classification, for ...
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37 views

Metrics for multi-class classification. When the prediction is of low quality

I am having a multi-class classification problem, so prediction of an instance to which class belongs to. I am reading that the typical metrics like accuracy or score are very "strict" on such ...
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45 views

tsfresh: how to predict class

I've got a 22000x17 array timeseries and I used tsfresh to extract features. There are like 10 classes. The entire process took about half an hour to compute but I now have the DataFrame with the ...
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2answers
66 views

How to handle addresses of the restaurants to feed the data-set in the ML model?

I have data from different restaurants which have also address of the restaurants now I want to predict the food delivery timing based on the given data, now the restaurant address is one of the ...
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102 views

Unseing label in PySpark MultilayerPerceptronClassifier

I'm trying to perform classification with a MLP in PySpark: ...
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8 views

How to increase Overlapping in Real Dataset

How to increase overlapping in real data set, i.e, if we add some sample in majority class or add sample in overall data set the overlapping may increase, but the question is that how to add sample in ...
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6 views

Finding relevant pain points in feedbacks(open text)

I have employee feedback and need to find the appropriate pain points out of their feedback. Need help with the approach and analysis. I have provided a couple of examples below. Note: The feedbacks ...
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13 views

Improve the results of imbalanced multi-classification multi-lables data

I have 10k rows of multi-classification (x1..x27,y), size of dataframe is: 28*10k and its ...
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16 views

Scaling ML/DL classifier

I have been trying to find some guideline through google/stackoverflow for scaling a classification system. E.g. how can I scale a face recognition system if we want to add new people into the system? ...
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147 views

Multi Class Text Classification

I am new in deep learning and I am trying to build a classification module which can classify text to one of 9 classes and then use the result of the classification to classify them to another set of ...
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1answer
69 views

Data quality improvement as a part of preprocessing: Imputation

I have a python pandas dataframe representing a superset. The data contains a lot of nulls which I want to overwrite with real values. the superset has: both numerical and categorical data some ...
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1answer
43 views

Saving LSTM hidden states while training and predicting for multi-class time series classification

I am trying to use an LSTM for multi-class classification of time series data. The training set has dimensions (390, 179), i.e. 390 objects with 179 time steps each. There are 37 possible classes. ...
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2answers
719 views

How to implement an LSTM RNN with multiple input features

EDIT: Now I didn't convert to list. I am training LSTM for multiple time-series in an array which has a structure: 450x801. There are 450 time series with each of 801 timesteps / time series. The ...
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1answer
138 views

Feature Engineering in Multi-class Classification

I am working on a 3 class classification problem. I am curious on what is the best way to bin continuous variables for this problem. When I worked previously on 2 class problems, for examples sale ...
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1answer
79 views

Which feature to use in feature selection?

Objective: Multiclass classification with supervised learning, small dataset (25h) Context: My dataset is composed of mobile network data collected with a smartphone. The labels correspond to the ...
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1answer
581 views

RuntimeError: Assertion `cur_target >= 0 && cur_target < n_classes' failed

I am referring this previously asked question in stack-overflow which remains unsolved till now. I am facing same problem with pytorch when I am solving ...
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25 views

Loss function for multi-class classifiction where output variable is a level i.e the various classes are dependent on each other

Let's say we are classifying Images of cat , fish and human. Classifying a cat as human is as wrong as classifying it as fish, so here the normal loss functions/ metrics like Confusion matrix is fine. ...
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2answers
158 views

Keras input for multivariate classification with LSTM using current features and previous timesteps features and y values

I am working on a multivariate binary classification problem. What I want to do is to predict a binary classification given the features at the current timestep and the data (features+real ...
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2answers
68 views

Tuning a classifier for high precision, with no regard for recall

I understand this falls under the decision making aspect, rather than the probabilistic, but for the purposes of some work I am doing, I need the classifier to have very high precision, as I can't ...
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1answer
14 views

Is it normal for F1 scores to be lower on a binary classification task as compared to a 3-class classification task?

I am trying to understand if the F1 scores are higher for a binary classification problem than for a multiclass classification problem.
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810 views

Improve accuracy of Keras multiclass image classification with pretrained VGG16 conv_base

In the moment, I'm training my first "larger" image classification model with Keras (22 classes, 2000 train samples, 500 val samples each class). I use a pretrained model (VGG16). My current model is ...
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70 views

Why the accuracy is high on both training and validation set but very low on test set?

I'm using Tensorflow to train a classifier for image recognition, the model below is built via Keras. The original data is (50000, 3072), and reduced to (50000, 100) with PCA. The explained ratio is ...
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91 views

Deep learning(MLP) on multiclass classification. Model learns only one class

I am new to deep learning. I have imbalanced class data. I used one hot encoding and scaling to preprocess my data. I have used adamoptimizer as optimizer function and sparse categorical crossentropy ...
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65 views

How to pass inputs (interactively) to a model?

Let me give you a high-level design (blueprint) of my model. Input data:: ...
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2answers
1k views

solving multi-class imbalance classification using smote and OSS

I am trying to solve multi-class imbalance classification problem for that i am using SMOTE for oversampling and OSS for under-sampling. But I have a doubt as I am working on multi-class so i have to ...
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1answer
734 views

Forcing a multi-label multi-class tree-based classifier to make more label predictions per document

I'm been experimenting with tree based classifiers for multi-label document classification. All the trees I've created, however, tend to predict only one or two labels per document. Whereas the ...
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1answer
46 views

Labels are not given for multiclass classification problem

I have probably a weird question. If you are dealing with a multiclass classification problem, do you always have already determined target output/labels? I have e.g. a huge data set with a lot of ...
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1answer
382 views

F1_score(average='micro') is equal to calculating accuracy for multiclasification

Is f1_score(average='micro') always the same as calculating the accuracy. Or it is just in this case? I have tried with different values and they gave the same answer but I don't have the analytical ...
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1answer
563 views

Softmax gives output vector whose sum is greater than 1 in Pytorch

I am a newbie to PyTorch. I was trying out the following network architecture to train a multi-class classifier. I used Softmax at the output layer and cross entropy as the loss function. However, the ...
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1answer
45 views

Sentence classification for chatbot

If I first classify an intent into classes using SVM classifier and then within those classes I classify that intent into subclass using another SVM classifier , will it be helpful or overall accuracy ...
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1answer
41 views

Unintuitive results when Expanding Binary Classification to Multiclass

I have aproblem where I need to predict when a Truck arrives to pickup something. Say we have formulated that a binary classification model, where 0: The truck coming for pickup today 1:The ...
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1answer
134 views

Multi-class Classification Task with Input space size n x 1

I am trying to create a model that predicts / classifies the response variable with an input space of size n x 1, which is essentially a single feature. To be more ...
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1answer
155 views

Using N columns as N classification or using 1 column with multiple values

When dealing with the Neural Network outputs, I found two different approaches to express the output to Neural Network: Using one column with different value as different classifications: ...

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