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Chi Test

When developing a machine learning model, you may encounter numerous problems. One common problem related to feature selection determines how relevant the input features...

Log Loss

In machine learning, you can solve predictive modeling through classification problems. For each observation in the model, you must predict the class label. The...

SMOTE

This article will discuss how SMOTE module helps increase underrepresented numbers in the dataset of a machine learning model. SMOTE is the best method...

Cryptography

Cryptography or cryptology (from Old Greek: κρυπτός, romanized: kryptós “covered up, mystery”; and γράφειν graphein, “to compose”, or – λογία – logia, “study”, respectively)...

Confusion Matrix

The classification process helps with the categorization of the dataset into different classes. A machine learning model enables you to: Frame the problem, Collect...