Questions tagged [threshold]

Question 1

I have a dataset that has been split into 2 parts, train and test set. After training a model with the training set to classify between class 0 and 1, I used the sklearn roc_curve to calculate the ...

Question 2

Setting aside more modern adaptive methods for the moment, I'm trying to find a formula that takes M (the number of successive misses required to increase stimulus salience) and N (the number of ...

Question 3

here a physician with a moderate understanding of statistics and am seeking guidance on analyzing a continuous covariate (biomarker) that I suspect is predictive of treatment effect. My analysis ...

Question 4

I have a multi-class classification problem, where I classify my images into n classes and also a background class. I am currently trying to figure out how to find the optimal thresholds (for each ...

Question 5

Assuming there is a ML model learning the likelihood of an item being clicked by users. The output is typically a number between [0,1] indicating the probability of the item. Then you need to decide a ...

Question 6

I am hoping to enhance my (and others' perhaps too) understanding of some basic principles, which seem surprisingly elusive. For a start, I would like to consider imbalanced binary classification, ...

Question 7

I have read somewhere that W values above 0.9 are considered normal. So I wanted to use that as a cutoff for normality. However, upon running various scenarios I have come up with the result of W = 0....

Question 8

Consider one $1-$sub-gaussian or Bernoulli variables $X$, we i.i.d. sample $X$ $n$ times $(X_1,...,X_n)$; and $\mu_X<S$, $S$ is a constant threshold. We have such a quantity: $N_X = \sum_{i=1}^n \...

Question 9

I have a Bayesian model created through bayer package in R on which I need to calculate confidence/credible intervals for a ...

Question 10

Suppose I have some blood measurement X whose values correlate with some disease Y (so people with the disease use to have larger values of X). Moreover suppose that the disease is rare, say 1% of a ...

Question 11

We're currently working on detecting specific objects (e.g. poultry farms, hospitals) from satellite images. We've modeled the problem as a binary image classification task (i.e. classifying images ...

Question 12

I'm using Euclidean distance as a metric to compare two sentences for similarity while clustering them using my custom incremental KMeans algorithm. The current threshold value I'm using is 0.7 which ...

Question 13

As far as i know theoretically our model tend to be drifting/shifting as time goes on and need to be retrained. i wonder if its acceptable that instead of retraining the classification model, we keep ...

Question 14

I'm a novice at stats and thought I'd ask this question to those with much more experience than me. I've got temperature data and count data for number of animals hibernating in man-made boxes. The ...

Question 15

I'm reading a journal article which applies Poisson distribution in determining how many factors can be regarded as beyond the poverty threshold. My question is: why applying Poisson distribution and ...

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Questions tagged [threshold]

Is using the TEST set to calculate the optimal threshold for binary classification and then calculating the accuracy on the same test set wrong

Is there a general formula for M-up N-down psychophysical staircase convergence points?

Optimal threshold for a predictive covariate on treatment effect

Best way to solve a multi-class thresholding problem?

Is it a good practice to use AB testing to choose threshold of ML models?

Why can a classifier's predicted labels be improved (with respect to the same metric the classifier optimizes) by adjusting classification threshold?

Is it better to use the W or p-value to determine normality using Shapiro-Wilk?

Probabilistic Bounds on the Frequency of Empirical Mean Threshold Crossings for Sub-Gaussian or Bernoulli Variables

Extract credible/confidence interval of a threshold in a Bayesian posterior draws distribution [closed]

What data are used to find the final threshold for a medical diagnostic test?

Choosing the correct evaluation metric between F1-score and Area under the Precision-Recall Curve (AUPRC)

What is the standard threshold value that is best for accuracy when employing Euclidean distance as a metric for gauging textual similarity?

What if instead re-training our classification model, we only adjust the probability threshold?

non-linear correlation or finding thresholds for changes with relatively few data points

Why following Poisson distribution can be explained as a result of chance?

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