Questions tagged [probability]
Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur or how likely it is that a proposition is true.
297 questions
4 votes
0 answers
43 views
Estimating Final Vehicle Counts from Pairwise Marginals Using Python
I am working with vehicle registration data from website . The website provides counts for various combinations of vehicle attributes such as Maker, RTO, Fuel, Category, SubCategory, and Emission. ...
- 41
1 vote
1 answer
108 views
Probability and Statistics for Data Science
I am trying to study prob-stats from Statistics 110, but it's too complex and has all kinds of stuff like beta and gamma distributions. Are these integral stuff necessary for data science internship ...
- 11
3 votes
1 answer
89 views
Applying Hypothesis testing on single sample and non-normal distribution
A basketball game is played for 30 minutes. A coach claims that his team's players commit, on average, no more than 10 fouls per game. Let µ represent the team's average number of fouls per game. ...
- 131
3 votes
1 answer
51 views
Second Moment (Uncentered Variance) Estimate of Gradient
I am reading Kingma and Lei Ba's paper introducing the Adam optimizer. I was looking over some derivations for the second moment estimate: I noticed that they find the sum of a finite geometric ...
- 33
1 vote
0 answers
156 views
Generative models - valid distribution requirement
In "Deep learning" by Bishop there is a requirement for generative models that looks wrong to me (Equation 14.49, page 452, online at https://www.bishopbook.com/ ) I think it should only ...
1 vote
0 answers
27 views
Interpreting predicted probabilities after rebalancing [duplicate]
Consider a setting in which I have an unbalanced dataset where the targeted class takes values = 1 in 0,01% of observations and value = 0 in 99,9% of the observations. I train a classification model, ...
- 161
3 votes
1 answer
89 views
Which activation function for multi-class classification gives true probability (softmax vs sigmoid)
I'm wondering which activation function for multi class classification problem, give true probability. According to: https://ai.stackexchange.com/questions/37889/are-softmax-outputs-of-classifiers-...
- 829
1 vote
1 answer
141 views
Confidence levels and error rates in binary classification models
I am a beginner self-learning machine learning and I'm currently dealing with a binary classification problem. I made a binary classifier with a basic neural network and I did some experiments with ...
- 13
0 votes
1 answer
45 views
Probablistic Assumption on Linear Regression
I am reading Stanford CS229's lecture notes online and on page 16 (page 17 in PDF page identification) and I am stuck on understanding a good portion of the page. For the context, we assume that the ...
- 105
2 votes
0 answers
66 views
Transformer model conditional probability distribution of sub-sentences
I have a simple transformer model (decoder only) which is trained on some dataset containing sentences to do next-word prediction. The model captures a probability distribution $P_{\theta}(\mathbf{a})$...
- 21
1 vote
1 answer
129 views
How to tune the classification threshold in a cost-sensitive manner?
I have trained a classifier outputting probabilities for each class. I want to tune the decision threshold in such a way that it accounts for different costs/gains assigned to false positives ($FP$), $...
- 3,832
1 vote
1 answer
58 views
Fitting users' reports with joint time-semantic model
I have a historical list of reports, made by users, containing what happened (taken from a list) and the time when the report was filed. And I would like to fit the data with some joint time-semantics ...
0 votes
1 answer
39 views
Intuition behind this bayesian probability?
Original Question - Prevalence of a disease X is 0.1%. You take a test for this disease and it turns out positive. This test is 99% accurate. What is the probability of you having the disease given ...
0 votes
0 answers
62 views
Can an OCR model consistently recognize every digit of a long number correctly?
I'm working on OCR on scanned documents and we need to recognize the exact sequence of some printed numbers on it. Imagine you're reading a bank cheque serial number (16 digits) so the system needs to ...
0 votes
1 answer
171 views
Getting actions probabilities instead of an unique prediction in Stable Baselines 3 SAC?
I try to understand how getting an actions probability table instead of an unique prediction in stable baselines 3 SAC in order to override 'predict' method to filter invalid actions. I guess the good ...
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