# measure

## A simple and interpretable performance measure for a binary classifier

By Mehmet Suzen, Theoretical Physicist and Research Scientist. The core application of machine learning models is a binary classification task.…

## Towards a Quantitative Measure of Intelligence: Breaking Down One of the Most Important AI Papers of 2019, Part II

This is the second part of an article discussing a recently published paper by Keras creator Francois Chollet that proposes…

## Descriptive Statistics Fundamentals For Data Science Aspirants

Descriptive Statistics Fundamentals For Data Science AspirantsApplied statistics fundamental for Data Science aspirantsPramod ChandrayanBlockedUnblockFollowFollowingJun 29Few lines I wrote, dedicated to…

## Did You Know The Importance Of Finding Correlations In Data Science?

Correlations played the biggest role in the financial crises. During the crises, correlations across the global markets were extremely positive.…

## FuzzyWuzzy: How to Measure String Distance on Python

Are Austria and Australia really two different countries?Okay, I may have gotten carried away with that last one, but you…

## Earth mover’s distance

A sentence isn’t just a sequence of words: each word has its place, there’s an invisible underlying grammatical structure that…

## Why Measuring Accuracy Is Hard (and important!) Part 2

What if I use this split instead:The naive way might be just to shuffle your dataset randomly and split it…

## Why measuring accuracy is hard (and very important)!

We find some acceptable point on the ROC curve, set the threshold to that point, and use these two new…

## What To Optimize for? Loss Function Cheat Sheet

I would argue the validation loss is the most important. Validation loss is how we decide “model A is better…

## Entropy is a measure of uncertainty

Given certain assumptions (and foreshadowing an important result mentioned below), entropy is the measure of uncertainty.By the way, when I…