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4votes
1answer
178views

How to Classify Driving Behaviors (Acceleration, Braking, Turning) Using 2D Coordinates and Velocity?

I'm working on a project to classify driving behaviors based on a vehicle's position and velocity data. For each time step, I have the following information: $x, y $ : Position coordinates in a 2D ...
Aaron's user avatar
3votes
1answer
38views

The classifications from the model do not align well with business expectations or the "X" metric

Could this discrepancy be caused by the threshold strategy? If so, how should I optimize or adjust these thresholds? How can I better align the model outputs with the business context of "X"?...
user173923's user avatar
1vote
1answer
64views

Find closest color class to an RGB value

I have a module that estimates the color of an object and returns an RGB value in this format: (40, 48, 68) which corresponds to this color: Now I have to classify ...
Mary's user avatar
  • 237
1vote
1answer
653views

In DBSCAN, can the distance between a Noise Point and Border Point be less than Epsilon?

In DBSCAN: A core point is a point which has at least "MinPts" points inside its Epsilon radius. A border point is a point inside the Epsilon radius of a core point, but it has a number of ...
SuperFluo's user avatar
1vote
0answers
24views

Algorithm/method for grouping items based on their relative distance

I'm looking for a method to classify a set of items based on their relative distance. For example assume we have 4 cities and we know their relative distance: city1 city2 city3 city4 0 2.1 2.2 3.4 2.1 ...
Mehdi Zare's user avatar
1vote
0answers
361views

Matching financial reconciliation data / matching multiple rows based on column values

I'm working with financial reconciliation data and the ask is to train the algorithm to match transactions (that are otherwise manually matched if the existing application didn't because not all the ...
coffee's user avatar
1vote
1answer
149views

Analysis of Alternating Decision Tree on Weka

I am applying the AD Tree algorithm & this is the tree visualization of the output: I can't understand the values in the decision nodes (-0.4,0.541,-0.882...), How are these calculated? & how ...
SCodes's user avatar
0votes
3answers
282views

Which machine learning algorithms can be used for trajectory classifications?

I am working on project for clustering of air objects based on their trajectories. Like I would like to train a model on a dataset of different flying object's trajectories so later I can predict what ...
thisisjaymehta's user avatar
1vote
0answers
27views

How can I train a machine learning model with below characterstics? [closed]

Hi I have a classifier model to solve, which has close to 56k samples and 30 features which ...
Fasty's user avatar
1vote
1answer
43views

What are the latest and most succesful classification algorithms at the moment?

I have googled this for some time with no luck. All i get are tutorials or articles explaining the classic algorithms like linear regression, random forest, etc. I would like to know which are the ...
Miguel 2488's user avatar
0votes
2answers
75views

suitable algorithms for very high dimensional ”binary pattern" recognition?

I have a dataset consisting of 3000 binary features and one binary ouput. subset of these binary features form binary patterns. these subsets could be neighbouring features or from different regions (...
Ash's user avatar
  • 51
0votes
0answers
468views

Single Word Classifier

How to use machine learning algorithms to predict class of single values/words ? ...
Sreejithc321's user avatar
2votes
0answers
41views

Multiclass classification problem with more prediction classes than real classes

Can I have a multiclass classification problem with more prediction classes than real classes? For example: I want to predict the channel the user is going to watch. The real classes are "user didn't ...
Olivetree's user avatar
4votes
0answers
2kviews

How to train continuous/soft classification model?

The classic classification problem is like finding the function $F:\mathbb{R}^n\mapsto \{0,1\}$. The label set will be [Apple,Banana,Banana,...,Apple]. What if I want to train a function $F:\mathbb{R}...
Icyblade's user avatar
4votes
1answer
916views

Product classification in hierarchical categories based on multiple parameters and non-standard descriptions

I want to start a machine learning project in my company and a really big pain for spend analysts is to classify the products that buyers order for maintenance, tooling, raw material and such, as the ...
mad_dash2's user avatar

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