Questions tagged [voting-system]

Use for questions about the system used to decide the results of a vote.

In elections or decision systems participants vote for possible candidates or options. This tag is for the ways in which those votes are synthesised to form the final outcome.

The Wikipedia article on voting has information about systems and the one on electoral systems has some other relevant details.

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Do not vote, one vote will not reverse election results. What is wrong with this reasoning?

Do not vote, one vote will not reverse the election result. What's more, the probability of injury in a traffic collision on the way to the ballot box is much higher than your vote reversing the election result. What is even more, the…
Przemyslaw Remin
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Brexit: was "leave" statistically significant?

In this post we ask a question about a natural phenomenon called humans attempt to find decision by counting votes. The specific incident of such natural phenomenon that this question is about is the case of Brexit. Note: the question is not about…
caveman
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Voting system that uses accuracy of each voter and the associated uncertainty

Let's say, we have simple "yes/no" question that we want to know answer to. And there are N people "voting" for correct answer. Every voter has a history - list of 1's and 0's, showing whether they were right or wrong about this kind of questions in…
ffriend
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Do boosting techniques use voting like any other ensemble method?

Can we generalize all ensemble methods by using voting? Do boosting methods also use voting to get the weak learners into the final model? My understanding of the technique: Boosting: Continuously adds in weak learner to boost the data points that…
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What to do about ties in voting results?

Imagine a committee of people in charge of hiring a CEO. A committee member can vote "No hire" (+0), "Maybe"(+1), "Hire"(+2) for a potential CEO candidate. Each CEO is scored based on the votes, and the CEO with the highest score is hired. Now,…
varuman
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Probability of a draw between at least two options in an election with n voters and m options

I hope that this question has not been asked before, but i couldn't find an answer to it online or by myself. I came by that question during a project of mine: If i have an election with n voters and m possible choices, and the choices are equally…
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Voting between classifiers : How to prove it works?

Assume $m$ independent binary classifiers with probability $p$ to be correct $p>0.5$. Show that the probability of a voting, e.g. decision is made by the majority of classifiers is correct with probability $q>p$. I think this problem as equivalent…
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Simple up/down vote rating but weighted by number of responses

I am trying to analyse the ratings for restaurants from a website. The rating system on the website is pretty simple: people can up-vote or down-vote. The restaurant is then presented to website users with the number of votes it received and a…
Resonance
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What is a better political voting method?

We are in a season where some major elections are happening (e.g. U.S. elections) and I find it interesting to address. Objective When we decide "better", we need to define an objective. To be clear, my definition of better is as…
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Does KNN fail if the test data have no epsilon close nearest neighbors to the training data?

If I have binary-classification data and a Euclidean metric, and I know the best number of nearest neighbors, then I draw circles on my training data based on my K-value which tell me which regions are from class A and B via voting. How does KNN do…
Germania
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Combine several performance metrics from several datasets

We are developing and evaluating a multi knee/elbow point detection algorithm. For our evaluation, we have 200 sequences of real data. These sequences were annotated manually. For each algorithm and sequence, we computed four different performance…
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Ensemble, what are simple alternatives to averaging?

I have a classification problem (A or B or C). I am currently evaluating test set results from the trained random forest, neural net, and logistic regression models. Any one model works pretty well on test set when I require an A or a B call to…
steve d
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Scheme for Weighted Voting on Ensemble Machine Learning System

I'm designing a machine learning system in which i'm training 4 different classifiers and voting among it's predictions to decide on an output. Presently i'm just making a simple vote (i.e. selecting the most recurring predicted class) but can't I…
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Voting system for little league all-stars: should there be more votes per voter than spots on the team?

I'm on the Board of Directors of my Little League. We typically have about 35-40 players try-out for All-Stars. Managers, coaches and players (total of about 70) all vote for who they believe are the top 12 players. We total the votes and the top…
Chad
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Modeling voting paradoxes through Monte Carlo Simulations

Recently, I have been reading about voting paradoxes, more specifically the Condorcet paradox which states that there is no majority will. With other words, it may be difficult to aggregate individual preferences into a societal preference. For…
Greg
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