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Questions tagged [multiclass-classification]

776 questions
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Multilabel classification neural network, any one label

I am trying to figure out to build a neural network in which let's say I have 3 output labels (A, B, C). Now my data consist of rows in which 2 of the labels can be 1. Like A and B will be 1 and C will be 0. Now I want to train my neural network…
user9637850
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How to classify an imbalanced dataset when given 0 samples of a particular class?

Basically I have a training set and test set given, the training set is what i will test various models and feature selections on, i know the output labels of the training set and they are of 10 different categories, but I am told/given that one of…
user3264198
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ROC or CAP CURVE for a multiclass classification in python

I am unable to plot ROC curve for a multiclass problem.
Sai Shree
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Printing sorted & zipped features with a new line each time

I am trying to get relative importance of each feature on individual rock type along with the it's feature name. I did the following: for y_train_all, y_strings_all in zip(y_trains_classes, y_classes_names): …
SMAmir
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Higher ROC-AUC and F-1 scores but poor looking ROC-curves

I recreated a new Ensemble method that does Voting manually between my three classifiers. (Courtesty of Daniel who helped me make the function from here: Improving the prediction score by use of confidence level of classifiers on instances). The…
SMAmir
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RNN for Speech Emotion Recognition

I want to classify speech data into four different emotions (angry, sad, happy, neutral). The problem is that when I run RNN code, all speech data classified into one class. (For example, all speech data classified as "angry" all the time.) I don't…
SON.PARK
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How to prepare input for classification learner app?

My work is on speech recognition. And this is what I have so far: FOR TRAINING I have input vector matrix (training data) of size 11811x65 double, corresponding response of size 1*65 double. FOR TESTING I have a matrix of size 5942x11 double.…
Shweta
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Keras How to test the images in keras and also how to predict the image which is in one of the categorical class?

I did training and validation as like in keras documentation. But how to test the images. I know how to do it in scikit-learn. But I want to do in keras. Let's say I want to predict the image which is in form of categorical class. And at the final…
CodeRed
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MxNet metrics API to compute accuracy for multiclass logistic regression with vector labels

How to use MxNet metrics api to calculate accuracy of the multiclass logistic regression classifier with vector labels? Here is an example for labels: Class1: [1,0,0,0] Class2: [0,1,0,0] Class3: [0,0,1,0] Class4: [0,0,0,1] The naive way to use this…
Dimon Buzz
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Keras "Tanh Activation" function -- edit: hidden layers

Tanh activation functions bounds the output to [-1,1]. I wonder how does it work, if the input (features & Target Class) is given in 1-hot-Encoded form ? How keras (is managing internally) the negative output of activation function to compare them…
Akhan
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Multi Classify into categories based on Email Subject and Body in python

My dataset as like below. Subject column refers to Email SUbject and Problem description and Problem details column refers to Email body. Based on both subject and emaail body keywords, i need to classify to which Queue it should belong to.…
Manikant Kella
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Predefined Multilable Text Classification

Friends, We are trying work on a problem where we have a dump of only reviews but there is no rating in a .csv file. Each row in .csv is one review given by customer of a particular product, lets a TV. Here, I wanted to do classification of that…
Adarsha Murthy
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Multiclass text classification using R

I am working on a multiclass text classification problem. I have build a gradient boosting model for the same. About the dataset: The dataset has two columns: "Test_name" and "Description" There are six labels in the Test_Name column and their…
ajax
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Multi Class Random Forest

If a decision tree splits into 2 classes, how is random forest able to create multiple buckets in classification? Can you post any link about this theory? What is the theory behind it?
Anjali
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Tensorflow loss calculation for multiple positive classifications

My label looks like this label = [0, 1, 0, 0, 1, 0] Meaning that classes 1, 4 are present on the matching sample input. How do I create one-hot encoded labels for a label like that? Which loss function is more appropriate for a case like this…
rodrigo-silveira
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