Questions tagged [categorical-data]

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Using a neural network to predict a single discrete number

I am working on a project that uses a categorical and non categorical dataset to predict a Success/Fail rate. Each entry/data point has multiple categorical and numerical parameters tied to a rate. We ...
J. Bringas's user avatar
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How to specify categorical features in cat boost?

I have a dataset (pandas data frame) with all features of type int32 containing continuous values except one feature state_number, its data type is int32, but it ...
Zal's user avatar
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Sensible integer embedding/encoding for distinguishing elements of a set?

I am trying to train a model that takes in a set of feature vectors (which comes with an ID to uniquely identify elements of the set) and outputs a target for each element in the set (in a permutation-...
XYZT's user avatar
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What is the best clustering method to detect anomalies for data with mostly categorical data?

I have a dataset with about 85 columns. Out of the 85 columns, 70+ are categorical. My goal is to identify the outliers in this dataset through clustering methods as I do not have a target column. ...
user13074756's user avatar
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Is categorical encoding a type of word embedding?

Word embedding refers to the techniques in which a word is represented by a vector. There are also integer encoding and one-hot encoding, which I will collectively call categorical encoding. I can see ...
hanugm's user avatar
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Correct way to work with both categorical and continuous features together

I have a time series with both continuous and categorical features, and I want to do a prediction task. I will elaborate: The data is composed of 100Hz sampling of some voltages, kind of like an ecg ...
Gulzar's user avatar
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Should I use additional empty category in some categorical problems?

I try to create autonomous car using keyboard data so this is a multi class classification problem. I have keys W,A,S and D. So I have four categories. My model should decide what key should be ...
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Network design to learn multiple sequences of multiple categories

For learning a single sequence, LSTM only should suffice. However, my situation is different here. I have a list of sequences to learn: The sale volumes of 12 months, these are the sequences And ...
Dan D.'s user avatar
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Is it possible to classify resistors using ResNet50?

I want to train ResNet50 model using resistor images like below: I tried it by collecting data from google images and there were quite few. So accuracy was very low (around %10) but I wonder If it is ...
Nabla's user avatar
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3d representation of a regression with two independent variables one of them is categorical and another is continuous

I have hopefully a fundamental question of Do I understand things right. (Thank you in advance and sorry for my English which might be not so good) 1-Preambula 1: I know that if we have 2 independent ...
Igor's user avatar
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Categorizing text into dynamic amount of categories

I'm looking for a supervized system/approach, that could learn how to categorize incoming texts/documents, where new categories can be added over time and the training set will be small. The trained ...
Matej Tymes's user avatar
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CNN clasification model loss stuck at same value

I have CNN model to classify 2 classes. (Yes or No) I use categorical_crossentropy loss and softmax activation at the end. For input I use image with all 3 channels, for output I use One hot encoded ...
Marko Zadravec's user avatar
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Can two neural networks be better instead of one with a categorical feature?

Let's assume, that I have a neural network with few numerical features and one binary categorical feature. The network in this case is used for regression. I wonder if such a neural network can ...
GKozinski's user avatar
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CNN output generally has more than one category in one-hot categorization?

I'm a bit of a CNN newbie, and I'm trying to train one to image classify pictures of pretty similar looking particles. I'm making the inputs and labels by hand from a set of 48x48 grayscale images, ...
Fred E's user avatar
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Is a binary attribute type the same as binomial attribute type?

I am not sure if I can use the words binomial and binary and boolean as synonyms to describe a data attribute of a data set which has two values (yes or no). Are there any differences in the meaning ...
user3352632's user avatar
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2 answers
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How to model categorical variables / enums?

I am new to the field and I am trying to understand how is possible to use categorical variables / enums? Lets say we have a data set and 2 of its features are ...
Avraam Mavridis's user avatar
2 votes
1 answer
305 views

What's an appropriate algorithm for classification with categorical features?

My input data consists of a series of 8 integers. Each integer is a discrete token, rather than a relative numeric value (i.e. '1' and '2' are as distinct as are '1' and '100'). The output is a ...
user17281's user avatar