If you are dealing with a classification problem like (Yes/No, Fraud/Non-Fraud, Sports/Music/Dance) then use Logistic Regression.

If you are dealing with continuous/discrete values, then go for Linear Regression.

If you are dealing with continuous/discrete values, then go for Linear Regression.

Imputation algorithm means “replacing the Blank values by some values)

Mean imputation

Median Imputation

MICE

miss forest

Amelia

Mean imputation

Median Imputation

MICE

miss forest

Amelia

The analogous metric of adjusted R² in logistic regression is AIC.

AIC is the measure of fit which penalizes model for the number of model coefficients. Therefore, we always prefer the model with minimum AIC value.

AIC is the measure of fit which penalizes model for the number of model coefficients. Therefore, we always prefer the model with minimum AIC value.

E(S) = 8/10log(8/10) – 2/10log(2/10)

Note: Log is à base 2

Note: Log is à base 2

In Machine Learning. Perceptron is an algorithm for supervised classification of the input into one of several possible non-binary outputs

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