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Questions tagged [features]

The tag has no usage guidance.

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7 views

How to do feature engineering to the stripplot where the target, `tradeMoney`, has obviously lower than 5000 when 'rentType' is 'shared_rent'?

I am dealing with a house prediction problem. When I am doing EDAs I find the such stripplot() as follows: ...
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0answers
10 views

We know the subspace generated from the data instances, but we cannot constitute the origin space

I was wondering, what if we know the subspace generated F from the data instances, but we cannot constitute the origin space E that can be in higher dimension, and can easily lead us to the true join ...
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24 views

How to choose feature which is used to fill another feature's missng values?

I am dealing with a house prediction problem. However, it has about 10% missing values in buildYear which is one of the most important features. I tried filling ...
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12 views

When to create ranges for numeric feature?

For example, in the Titanic Dataset, I'm trying to deal with the numeric datasets, FamilySize and Ticket (Ticket Price). From the many solutions I've seen, a lot of people create ranges for ...
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13 views

Creating better features for clustering

I am trying clustering for the first time trying to separate my user into three categories (or the categories I though that they will should fall in). First of all I have two tables that describe ...
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1answer
23 views

How to choose an optimal threshold for binary discretization

We know that we usually do discretizations to continuous features to remove extra information and unwanted regularities, which makes the model robust and well-predicted. But I am wondering except ...
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3answers
29 views

How to deal with new features values in my classification model?

Lets say i have a categorical feature having a set of values equal to ['Single','Married','Divorced','Unknown']. Okay, so with the help of the other features, i create my model, i test it, all is fine ...
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1answer
34 views

Pretrained features return worse results for sklearn classifier/pipeline

So I have a following scenario: Pipeline, that transform text/dict/numerical data and classifies the result with linear regresion. It looks something like this: ...
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2answers
35 views

Input data of variable length - two scenarios

I'm trying to figure out how I could train a neural network with inputs that have variable length. This issue comes up in the following 2 scenarios I'm trying to solve. Scenario 1: I have a long list ...
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1answer
98 views

Should unique vectors (SIFT descriptors) be used in K-Means Clustering?

I'm doing image classification by extracting SIFT features, clustering them and then finding BOVW histogram and classifying. I have around 180 training images from which I'm extracting SIFT ...
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4answers
79 views

How can I use Machine learning for inter-relationship between Features?

Machine learning is used mostly for prediction and there are numerous algorithms and packages for this. How can I use machine learning for studying inter-relationships between features? What are ...