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1answer
18 views

Why wider range for a feature in Machine learning affects training?

I was reading through the Google Machine learning crash course and I can't digest the below point: If a feature set consists of multiple features, then feature scaling provides the following benefits:...
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0answers
9 views

Feature weighting: Calculating coefficients

I am struggling with the following problem. My data has 3 continuous features and 1 categorical (class label). I wish to compress these three continuous features into one, i.e. to find coefficients x1,...
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1answer
25 views

How to weight features when doing text mining?

I have a case where I'm doing text mining over a list of product titles. In particular I want to run a clustering algorithm. But I also have some information about those products that I think can add ...
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0answers
42 views

Naive Bayes for probability estimates

I am using a naive bayes algorithm to derive probabilities of a certain object's belonging to a class. I know that naive bayes is a classifier and doesn't yield the most accurate probabilities, the ...
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2answers
48 views

Number of principal components for PCA [closed]

Which criteria to consider while picking the number of principal components for PCA?
5
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3answers
226 views

How to describe most important features of ensemble model as list?

I have created 3 different models and output of them is a class probability in binary classification problem. Models are bit different, showing importance from different features. I have of course one ...
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1answer
128 views

Why does Feature Scaling work?

If I take a very basic example where my feature Matrix X is $$ \begin{matrix} 1 & 100 & 0.25\\ 1 & 110 & 0.5\\ 1 & 120 & 0.75\\ 1 & 130 & 1\\ 1 & 140 & 1.25\\ \...
1
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1answer
27 views

Statistical method(s) to employ to find best features given a number of features [closed]

I am working on an anomaly detection application that uses keystroke dynamics. This is the pool of features that I have to my disposal: hold time = R(i) - P(i) key-up to key-down = P(i+1) - R(i) ...
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1answer
64 views

How to rank features based on an attribute in python? [closed]

I want to rank each attribute based on their ability to influence the dependent attribute(say for instance, "income" ) in the dataset. In R, I have used ...
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0answers
12 views

How to reweight two datasets so they are the same by deleting members?

So my situation is that I have a large set of events, each of which contains many variables (e.g. mass, length, momentum, colour...). This set of events can be divided into two categorys according to ...
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0answers
9 views

How to know the weights of several variables in a categorisation process

For my research I have created two variables that depict the farmers who have been interviewed in the Peruvian Amazon; those are: a) Well being; and b) Maintenance of natural resources. Both are ...