Questions tagged [feature-construction]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
31
votes
6answers
9k views

Are there any tools for feature engineering?

Specifically what I am looking for are tools with some functionality, which is specific to feature engineering. I would like to be able to easily smooth, visualize, fill gaps, etc. Something similar ...
19
votes
3answers
7k views

How to combine categorical and continuous input features for neural network training

Suppose we have two kinds of input features, categorical and continuous. The categorical data may be represented as one-hot code A, while the continuous data is just a vector B in N-dimension space. ...
14
votes
2answers
16k views

List of feature engineering techniques

Is there any resource with a list of feature engineering techniques? A mapping of type of data, model and feature engineering technique would be a gold mine.
13
votes
2answers
5k views

What to do when testing data has less features than training data?

Let's say we are predicting the sales of a shop and my training data has two sets of features: One about the store sales with the dates (the field "Store" is not unique) One about the store types (...
10
votes
4answers
2k views

Is this a good practice of feature engineering?

I have a practical question about feature engineering... say I want to predict house prices by using logistic regression and used a bunch of features including zip code. Then by checking the feature ...
6
votes
3answers
8k views

How to deal with categorical feature of very high cardinality?

I would like to train a binary classifier on feature vectors. One of the features is categorical feature with string, it is the zip codes of a country. Typically, there is thousands of zip codes, and ...
5
votes
1answer
4k views

How to transform raw data to fixed-frequency time series?

How to transform raw data to fixed-frequency time series? For example I have the following raw data in DataFrame ...
5
votes
1answer
155 views

Predictive models with class value belonging to a set of observations

I would like to know whether it's possible to build a predictive model where I could define a set of rows with their attributes, and a class belonging to that set of rows, instead of having the ...
4
votes
2answers
136 views

Approach to creating a user profile in music web application

I am working on a use case, and I'm unsure of the best way to proceed: in order to analyze the behavior of users of a web-based music application, we retain all songs each has played since 2009. We ...
4
votes
1answer
2k views

Is there any difference between feature extraction and feature learning?

It appears to me that "feature extraction" and "feature learning" are equivalent concepts, however there are 2 separate wikipedia articles dedicated to them that are notably different. In particular, ...
3
votes
2answers
4k views

Combining Latitude/Longitude position into single feature

I have been playing with 2 dimensional machine learning using pandas (Trying to do something like this: https://github.com/freeman-lab/spark-ml-streaming), and I'd like to combine Lat/Long into a ...
3
votes
3answers
1k views

how to evaluate feature quality for decision tree model

Most of the tutorials assume that the features are known before generating the model and give no way to select 'good' feature and to discard 'bad' ones. The naive method is to test the model with new ...
3
votes
2answers
4k views

Too much inputs = overfitting?

First question : can I mix different sorts of inputs types for example, height and age (of course my inputs are normalized)? in general, can we mix different types of inputs in a neural network ? ...
3
votes
1answer
68 views

Is it a good idea to train with a feature which value will be fixed in future predictions?

I am facing a regression problem and I have one feature that has some relevant correlation with the output. The value of this feature will be fixed in ALL the predictions I will use this model for. ...
3
votes
1answer
50 views

Using historical label as a feature in my ML model?

I am working on a predictive model to predict change in the price of an asset (up, down, no change). The labeling is based on the derivative of the price and is exponentially smoothed with an alpha of ...
3
votes
0answers
153 views

Label Encode with pre defined classes

I have trained a model (Random Forest) and now I want to use it to predict for a certain data on a particular day. I have a categorical column where there are some values(say a,b,c,d,e) over a period. ...
3
votes
0answers
83 views

What are best practices for collaborative feature engineering?

I work in a large company on several data science projects. For each of the projects me and my colleagues construct features that have some predictive value for the specific target in that project. ...
2
votes
2answers
41 views

Creating a metric based on some features

I want to create a new metric based on some features but dont know how to start. I basically want to create a "job satisfaction level" metric based on some features. The features could be work hours, ...
2
votes
3answers
826 views

Why adding combinations of features would increase performance of linear SVM?

I have a dataset of ~5000 elements represented by vectors composed by ~30 binary values (0 or 1) on which I am performing binary classification with SVM with linear kernel (I use the Scikit learn lib)...
2
votes
1answer
32 views

How do I combine predictions from classifiers for two different problem?

I am working on a classification problem for predicting whether the shipment is going to be late or not. I would say the classifier is mediocre at predicting the positive class at the moment. But the ...
2
votes
2answers
196 views

Categorical features preprocessing for clustering

Can anyone tell suggest the best practice for clustering data with mixtured features (both with categorical and continuous). I am struggling with a problem; I realized that for all metrics algorithms ...
2
votes
1answer
35 views

I want to create an additional feature(column) based on some manipulation of values from existing features

Consider my data-frame to be like this ('x','y','z' are features): I want to create a python function which will take an expression as a string (something like this: 'x+y-2z') and create a new ...
2
votes
1answer
613 views

Ordinal Integer variable vs Continuous Integer variable

I am working on titanic dataset. I have one feature Pclass which I understand is an ordinal variable having values 1,2 and 3. I have created a new feature cabin_int from feature Cabin, which is ...
2
votes
1answer
59 views

Dealing with a dataset where a subset of points live in a higher dimensional space

I have a classification problem where I am dealing with economic data in a high dimensional (~400) space which includes dates, addresses, salaries, and a number of other variables. Most of the ...
2
votes
1answer
126 views

How to handle a feature vector that could be variable length?

I would like to train a machine learning model with several features as input as X[] and with one output as Y. For example Every sample has a Data frame like this: ...
1
vote
1answer
317 views

Convolutional Neural networks

Hi all: I have a very fundamental question on how CNN works. I understand fully the training process as to take a bunch of images, start with random filters, convolve, activate, calculate loss, back ...
1
vote
2answers
897 views

What are features for state-action pairs in RL?

I read this answer: What are features in the context of reinforcement learning? But it only describes features for the state only in the context of cartpole, ie. Cart Position, Cart Velocity, Pole ...
1
vote
1answer
31 views

Importance of features

It is common to say in ML feature selection that features that are irrelevant in isolation can be important in combination with other features. Is there a simple example (one or two features) to ...
1
vote
1answer
291 views

Classification: How to manage data sets where one data row depends on another data row

I am trying to classify heading, image and image caption of a webpage. I am preparing data ...
1
vote
2answers
39 views

Problem with a feature (normal distribution + peak around 0)

I have a feature that shows a characteristic of the instances. That characteristic can be present or not. If present it shows an almost normal distribution of values (actually a bit skewed to the ...
1
vote
1answer
30 views

Imputing features with NA values in classification task

I currently have a dataset where each observation is a person's traffic ticket history over districts. For each column, which represents a district: 1 represents that a person has received 1+ traffic ...
1
vote
1answer
77 views

NLP Feature creation from phrase matching

I'm building a model to classify email content, to decide whether the email should lead to a JIRA ticket being "Raised" or "Not Raised". The problem I am having is the data is highly imbalanced with ...
1
vote
1answer
36 views

Potential problems with expanding training set

The problem is a binary classification one. My dataset contains users with activity over multiple days, where they all start with class 0 and can become class 1 after a certain activity (which is not ...
1
vote
1answer
742 views

How to put multiple features into RNN input vector

I am trying to code a recurrent neural network (LSTM) to create music in python and was considering using multiple features instead of just the note pitch as an input into the network. Initially I had ...
1
vote
2answers
242 views

how to represent location-code as a feature in machine learning model?

I am trying to predict the damage to a buildings after earthquake on a dataset which contains "district number" as feature. I think the feature will have a significant importance in predicting the ...
1
vote
1answer
41 views

Making bigram features from a particular dataset

I have a folder which has a number of files which have a format like these ...
1
vote
1answer
2k views

Need help in improving accuracy of text classification using Naive Bayes in nltk for movie reviews

I am referring http://www.nltk.org/book/ch06.html for generating a movie review classifier. It considers all words (Nouns, adjectives, verbs..) as part of feature set. I am trying to build a ...
1
vote
1answer
50 views

impact of old reviews on new reviews

I am working on e-commerce, how to rank smartphones in the same category. I want to calculate a weighted average of sentiment score from reviews posted by buyers. Weights will be based on how many ...
1
vote
0answers
17 views

Regression with a feature which has its own depth

I'm relatively new to ML/Statistical Analysis, and I'm facing a dataset structured like this ...
1
vote
0answers
15 views

Best Feature extraction for at the end retrieving audio

I work on a machine learning algo, which basically learns sequences in an audio .wav and generates the most “logical” sequences. The algorithm learns features, so I generate MFCCs from the audio file. ...
1
vote
0answers
26 views

Data Lineage/Traceability in Pipelines

I want to collect information about: 1) from which single data signals a feature is composed in a ML pipeline and 2) what data preprocessing operations are/were executed on a data signal. Does anyone ...
1
vote
1answer
43 views

How to model a supervised recommender system with varying data

Suppose there are 2000 movies and a company wants to recommend some movies (for example, at most 5 movies) to each visitor. The objective is to learn how to predict which movie will be selected if a ...
1
vote
0answers
35 views

Handling highly correlated features [closed]

I have a data set of transactions and want to build a fraud detection model (classifier). Only 3 variables are given that could be used as input features. The number of transactions during past 3, 6 ...
1
vote
0answers
23 views

Is there a common relationship between data inputs and the number of attainable features?

Is there a known relationship between the amount of information gain that comes from new data added to a dataset? for eg: If I have a plant watering system that tells me: An integer of how wet the ...
1
vote
0answers
38 views

Extracting Features for Graph transformation

Suppose I have a directed graph G (V,E) whose transformation is defined by a library of patterns. Each vertex is of particular type. The library of patterns contain subgraphs (g1,g2,g3 etc)and it's ...
1
vote
1answer
74 views

Depending samples in ad ranking and click rate prediction

I am struggling with the following problem: Suppose we fit a machine learning model to model advertisers click rates. I used a Logistic Regression approach using a one-hot/dummy encoding. We have ...
1
vote
1answer
131 views

How to deal with Optional Input

I'm from the vision world and only worked with pixels from 0-255, ignoring any side effects. My current problem is different, in the way that I cannot rely on the input data. What my problem is: I ...
1
vote
0answers
34 views

Orange Feature Construction widget: Inability to see formulas while file sharing

Our team is sharing Orange "work bench" files across team members. Unfortunately, we find the Feature Construction widget does not display code consistently (nor is there any "x" to indicate an error)....
1
vote
1answer
206 views

Feature construction widget on Orange 3.13

I got stucked with this widget... I am an absolute beginner and I am now working with Orange software for my thesis with logs and core data. I need to combine different features to compare them. What ...
1
vote
2answers
118 views

How to treat the undefined values which make sense?

I'm currently trying to create a few features to improve the performances of a model. One of those features that I would like to create corresponds to the difference in days between a customer's ...