Cross Validated Questions, Problems & Solutions : TransWikia.com ~ Page 68

What Statistical principles are being violated by comparing specific Trainer Fatality Rates to Race Track Fatality rates?

A Hall of Fame Trainer of Thoroughbred Racehorses has been banned from a Race Track because 7 horses under his care have have been injured while training or racing in...

Asked on 01/06/2021 by Pseudoego

0 answer

How to automatically choose the number of components for PCA?

For PCA, we can print out the number of components vs % variance explained, like in the following picture: And as...

Asked on 01/06/2021 by foobar

1 answer

Cosine Similarity Intuition

I understand what cosine similarity is and how to calculate it, specifically in the context of text mining (i.e. comparing tf-idf document vectors to find similar documents). What I'm...

Asked on 01/06/2021 by ccb

3 answer

Is there a way to get the optimal cutoff points based on probability of topic models and the outcomes?

I have topic models probability obtained using LDA topic models method. I’d like to use these probabilities for 5 topics to predict an outcome (0/1). I’d like to find an...

Asked on 01/06/2021 by Kuni

1 answer

How can I use the box plot to explain the Empirical Rule for a normal distribution?

I am wondering if I can use the box plot to explain the Empirical Rule for a normal.distribution. I don't know if the Empirical Rule can be explaines using the...

Asked on 01/06/2021 by StoryMay

1 answer

PCA: Dimension Reduction

I ran PCA.Output is: . I am trying to increase...

Asked on 01/05/2021 by Shank

0 answer

How to choose a good operation point from precision recall curves?

Is there any standard method to determine an "optimal" operation point on a precision recall curve? (i.e., determining the point on the curve that offers a good trade-off between...

Asked on 01/05/2021 by Amelio Vazquez-Reina

4 answer

How to develop a likelihood based prediction model to predict chance of rain in a particular hour of a year?

I have time-series weather data (from 2005-2018) of temperature and rainfall (every one-hour interval) from three different location weather stations. I want to predict/see what likely be a chance of...

Asked on 01/05/2021 by Nahid

0 answer

How well does GAN (generative adversarial network) perform for small samples?

GAN is an unsupervised learning algorithm that pits a discriminator and generator against one another so that they iteratively compete to enhance the overall model's ability to model/replicate a given...

Asked on 01/04/2021

1 answer

Using the Hotelling package in R

I have two samples of data in $mathbb{R}^2$, assumed drawn from a gaussian distribution, and I would like to test whether the two samples have the same mean. I...

Asked on 01/04/2021 by pitchounet

1 answer

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