Skip to main content

Questions tagged [features]

The tag has no usage guidance.

38 questions with no upvoted or accepted answers
Filter by
Sorted by
Tagged with
4 votes
0 answers
85 views

Non-Gaussian like distributions - Classifier of source data fails on target data

I ask you for help on a classification problem (classes are represented by the numbers 0,1 and 2). All features are extracted from time series data (fundamental is sinus shape). I have a source ...
deniz's user avatar
  • 51
3 votes
0 answers
54 views

NN training with repetitive features

I posted the question also on ai.stackexchange but it didn't get any answers so I though I could try here. Here is a copy paste: Let's say you are training a NN in a RL setting where the state (i.e. ...
mkanakis's user avatar
  • 131
2 votes
0 answers
792 views

How SHAP value explains contribution of features for outliers event?

I'm trying to understand and experiment with how the SHAP value can explain behaviour for each outlier events (rows) and how it can be related to shap.force_plot(). ...
Mario's user avatar
  • 400
1 vote
0 answers
34 views

Are there any general theoretical results about the behavior of data in the neighborhood of a single data point?

I know from calculus that any relatively well-behaved function $y=f(x)$ can be approximated by a linear function $y=ax+b$ within a sufficiently small neighborhood around each point of an independent ...
Vladislav Gladkikh's user avatar
1 vote
0 answers
62 views

Feature Importance in Stacked Model

I have built a stacked model using mlxtend StakingCVClassifier. I want to know the feature importance scores now. Is there any way I can calculate feature importance scores for the stacked model? If ...
Anjali 's user avatar
1 vote
0 answers
55 views

Reverse engineer PII sensitive data from Inceptionv3 pre-trained model generated features

I'm using the pre-trained Inceptionv3 to build out features from proprietary documents. Some of these documents contain sensitive PII data. I use the 2K output from the second last layer as the ...
GM1313's user avatar
  • 11
1 vote
0 answers
19 views

Is there a multi-modal population based metaheuristic that is non-GA?

I have a feature set from which I want to select various combinations and permutations of the features. The length of a solution feature vector can range between , say 5 - 20 features , and the ...
pauper's user avatar
  • 11
1 vote
1 answer
29 views

Finding attributes that make up dense clusters of fraudulent transactions

I have data about purchases customers made in my website. Some users later decline the purchase, a scenario I'd like to avoid. I have lots of data about the purchases made in my website, so I'd like ...
what-a-snarky-puppy's user avatar
1 vote
0 answers
18 views

vertical or horizontal storage of timesteps in feature store

I'd like to use a feature store to store some time series and I asked myself what's the best way to store the timesteps. Is it better to store each timestep horizontal and then doing windowing after ...
seb2704's user avatar
  • 111
1 vote
0 answers
15 views

Can regression algorithms treat multiple input features as a single feature for prediction?

I have a regression problem where I have multiple RSSI values from 3 beacons and I need to predict the x & y coordinates of the mobile object sending the signals based on the RSSI values captured ...
Jacccky D's user avatar
1 vote
1 answer
43 views

How to build multiple variable regression having a mix of numerical & categorical features?

There is a need to estimate Annual Average Daily Traffic Volume (AADT). We have bunch of data about vehicles' speeds during several years. It is noticed that AADT depends on the average number of such ...
Артём Ощепков's user avatar
1 vote
0 answers
17 views

Latent space for cross domain numerical features

I would like to find the shared latent space between two set of features. I have source and target domain features already extracted from images. I have 4 set of feature vectors for normal and ...
Minnie's user avatar
  • 21
1 vote
0 answers
37 views

Self Organising Map with variable length ordered sets of N-grams

I want to preface my question with the highlighted situation I have might not be applicable to kohonen self organising maps (SOM) due to a lack of understanding on my part so I do apologise if that is ...
Cookies's user avatar
  • 111
1 vote
0 answers
28 views

Machine learning on graphs

I'm looking for some method/model to help me with my current problem: I have a geometry, consisting of points, and eges. For each point I take information about itself and its neighbours. For now I ...
Cla's user avatar
  • 23
1 vote
1 answer
19 views

What should you do with attributes that predictive in an interaction?

I am trying to predict results of football games. Some of our attributes only give meaning for a prediction only when they are considered in interaction with another attribute. To illustrate, a team ...
Borut Flis's user avatar
1 vote
0 answers
36 views

Multivariate LSTM RNN DNN returning multiple features for forecasting a time series in Python

I am using the latest installation of Keras with Python 3.6 on Linux Mint with a NVIDIA (NVDA) 2070 GPU. I am looking up. How to get the return values of my data? How do I use all of the features, and ...
Smitty's user avatar
  • 11
1 vote
0 answers
26 views

Feature engineering one step at a time or in bunches?

Currently, I'm working on my very first classification project. If you want to know what dataset I'm working with, think "playing stairway to heaven in your local guitar store", and it will probably ...
rocksNwaves's user avatar
1 vote
0 answers
27 views

Which outlier detection algorithms give a breakdown of the contribution from each feature?

I am looking for an algorithm that outputs a breakdown of which features contributed the most towards a data point being labelled as an outlier. It can be supervised or unsupervised. At the moment, ...
odo22's user avatar
  • 136
1 vote
0 answers
286 views

Keras most important features for text classification

I am working on a problem where I need to classify phrases in one of the two categories (let's A & B). I used the Keras SepCNN model (similar to this) for that and it is giving me some results. ...
wannabenerd's user avatar
1 vote
1 answer
50 views

What is the level of measurement / name of the scale of list-features?

If you look at publications, you can have a dataset title of publication list of authors number of pages year of publication The Level of measurement of "number of pages" is interval scale, the ...
Martin Thoma's user avatar
0 votes
0 answers
18 views

Logistic regression on unknown features

Consider the following problem: I want to classify data into classes. The features have names, and for example, assume that the names are lowercase words in english. We assume that not all elements of ...
Plop's user avatar
  • 233
0 votes
0 answers
13 views

How to build a model where each data point has different levels of information?

Let’s say I want to predict the weight of a person given information about them; height & sex. Now, let’s say that that I have additional information about roughly 50% of the individuals included ...
the man's user avatar
  • 139
0 votes
0 answers
13 views

Robustness and Sensitivity of Naive Bayes to Irrelevant Features

I understand that one of the strengths of Naive Bayes is its robustness to irrelevant features. However, it's also important to note that it can be sensitive to the presence of irrelevant features, ...
baddy's user avatar
  • 165
0 votes
0 answers
22 views

How can I quantity feature importance while performing unsupervised clustering with mixed data types?

I wanted to cluster data points into 2 clusters, I am using clustmix package from R I wanted to understand importance of each of the feature, I have 203 features. I have tried featureimp package from ...
ashish pople's user avatar
0 votes
0 answers
99 views

Calculating correlation between embedding features

I am looking for a technique to calculate correlation for embedding features (array of floats). I'm interested in the correlation between features (embedding-embedding) as well as between feature and ...
Drew Serles's user avatar
0 votes
0 answers
31 views

propper feature encoding

I working with the following data set also here is it's detailed description of "packet_dat" column I can't understand how I can encode packet_dat column into proper feature so my ...
Roma's user avatar
  • 101
0 votes
0 answers
19 views

How to best visualize feature-label combinations as a tree/chart/table?

Given different combinations of four feature, a, b, c, d, we can get different different sets of labels from a fixed label set ...
alvas's user avatar
  • 2,410
0 votes
0 answers
17 views

Formal terminology: metafeatures then groupby (GROUP BY) operation

In ML training and other analytics I often combine features to produce a 'metafeature' and then perform a 'groupby' (pandas) or 'GROUP BY' (SQL) query. What is the technical term for this operation? ...
M__'s user avatar
  • 206
0 votes
1 answer
20 views

Time series and regression with dataframes as features

I am working on a data science project where I have 4 different dataframes representing 4 different metrics (let's say, met1, met2, met3 and met4). These metrics are time series and each one of them ...
Mister NiceGuy's user avatar
0 votes
0 answers
86 views

Best Feature Extraction Practise for Long Audio Data

I have a video dataset and my aim is classifying predefined scenes in these videos at 1fps (that means I perform classification at each second). Therefore, I plan to fuse audio and visual features for ...
kubicwerke's user avatar
0 votes
0 answers
17 views

How to use a material number as a feature for Machine Learning?

I have a problem. I want to use a classification algorithm. I also have materialNumber as a column. Could I use that as a feature for my Machine Learning algorithm? ...
Test's user avatar
  • 89
0 votes
0 answers
23 views

Relation between Features & Polynomial Equations in Machine Learning

In Machine Learning, if the data we are working on has, say, 6 features/variables, does that mean the prediction line/curve of our ML model is represented by a Hexic polynomial equation whose degree ...
Apoorva's user avatar
  • 307
0 votes
1 answer
26 views

How to choose feedforward architecture for few number of features but very large instance?

Assume I have 1 million of data instance and each instance contains 100 feature. For each instance, I also have a lable. The ...
jason's user avatar
  • 329
0 votes
1 answer
32 views

Using partially defined features in an unified deep learning model

Suppose we have two types of feature A and B. A is defined for all kinds of samples while B is only defined for some of the samples. Here, B is partially defined does not mean B is missing value (such ...
JunjieChen's user avatar
0 votes
0 answers
668 views

One feature - several units

I have a dataframe where one of the features is the Mileage expressed in some cases in $\frac{km}{l}$, while in others is expressed in $\frac{km}{kg}$, according to the combustion type of the car (so ...
89f3a1c's user avatar
  • 369
0 votes
0 answers
35 views

Feature selection in regression: are those features just correlated with outcome or are they causal?

When we get our variable importance plots in linear or logistic regression, we know that the features with more importance are correlated with our outcome. Are they necessarily causal?
newbie's user avatar
  • 1
0 votes
0 answers
26 views

Text classification 'features imput'

I have a text classification task that consists of classifying text into classes (literary genres). I have computed the average word length and sentence length. Also, some POS relative frequency so ...
Sarita 's user avatar
-1 votes
1 answer
29 views

what features can I get from the sample?

I have dataset of 100 000 words labeled by surname(is last name / not last name) Example: kitchen | 0 kennedy | 1 etc. I tried extract lenth of word, count of each letter and such simple features ...
mender1's user avatar