**Daily update | 19 September, 2022**

# StackExchange

#### Should we scale the data if our response(Y) is numeric, a large number, and 99% of other variables are dummy variables?

**Source:** stats**Views:** 41**Score:** 3**Tags:** r regression machine-learning neural-networks

#### Approximation algorithm for minimising $x_i+y_i$ for monotonically increasing sequence $x_i$ and monotonically decreasing sequence $y_i$

**Source:** cs**Views:** 14**Score:** 2**Tags:** optimization approximation adversary

#### Show that the variance of the longitudinal estimate is $ \dfrac{2 \sigma^2(1-\rho)} { n} $ rather than $\dfrac{\sigma^2(\rho)}{n}$

**Source:** stats**Views:** 52**Score:** 2**Tags:** variance panel-data exchangeability

#### Resampling to handle class imbalance in logistic regression

**Source:** stats**Views:** 31**Score:** 2**Tags:** logistic mathematical-statistics classification simulation unbalanced-classes

#### Understanding the application of MLE in Naive Bayes

**Source:** stats**Views:** 44**Score:** 2**Tags:** maximum-likelihood naive-bayes