Cross Validated Questions, Problems & Solutions : TransWikia.com ~ Page 51

Should I balance the classifier train/test set, if metrics is Precision/Recall (F1 score)?

I want to train a classifier on an unbalanced data set. Proportions of classes C0/C1 are 65/35. Importantly, the success metrics is F1_score. In other words, the proper classification...

Asked on 11/02/2021 by Data Man

1 answer

Assumption logistic regression: linearity of independent variables and log odds?

I checked whether in my logistic regression models the assumption of linearity between the independent variables and the log odds is met. I used R and followed the instructions on...

Asked on 11/02/2021 by Franziska

0 answer

lme4: Three-Level Autoregressive Model - Random Effects

I would like to fit a three level autoregressive model in lme4 to account for my longitudinal experience sampling data (beeps nested in days, nested in persons). Several resources suggest...

Asked on 11/02/2021 by s_haring

1 answer

Stationarity in SAS

I am reading the following page: https://documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=9.4_3.4&docsetId=etsug&docsetTarget=etsug_arima_examples08.htm&locale=en I have a question: Is every row in Output 7.8.2 a separate model? And I need to look at the...

Asked on 03/13/2021 by adrCoder

0 answer

How many ways are there to select exactly one heart in a hand of 5?

I was thinking about it in two ways:choose(13, 1) * choose (39, 4) = (13 * 39 * 38 * 37 * 36) / 4!Slot Method:13 * 39 * 38...

Asked on 03/09/2021 by pythonnoob

3 answer

The behaviour of dice loss when target and prediction are disjoint

I've been struggling with the implication of the dice loss value generated when t (target label) and p (predicted label) are entirely disjoint. Dice score being (2pt)/(p+t), this value is...

Asked on 03/04/2021 by BMurray

0 answer

Loss function for regression

I am studying Christopher's Bishop book on "pattern recognition and machine learning". I have come across the regression loss function before, usually it is expressed as ...

Asked on 03/03/2021

1 answer

What is a generalized linear model

Generalized linear models have become so central to effective statistical data analysis, however, that it is worth the additional effort required to acquire a basic understanding of the subject. I...

Asked on 03/02/2021 by Pluviophile

0 answer

Help with choosing appropriate way to test hypothesis

This is undoubtedly a basic question but I suffer from being in the situation where I do not even know what to google so I can't solve this one myself....

Asked on 03/02/2021 by sleepy

1 answer

Identifiability of multinomial logistic regression

What are the sufficient conditions for identifiability of regression coefficients in multinomial logistic regression generally?...

Asked on 03/01/2021 by Sedi

0 answer

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