7:13Long-form

Machine Learning Fundamentals: The Confusion Matrix

United StatesPublished October 29, 2018

Views 1.00M  |  Likes 22.3K  |  Comments 753
Views#5,011,850Global
Views#1,021,341United States

Channel

StatQuest with Josh StarmerStatQuest with Josh Starmer
1.71M subs•303 videos•May 2011

At a glance

Views

1,007,889

Likes

22,337

Comments

753

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $706 – $2.01K

Based on estimated $0.7–$2 CPM.

About

One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide which machine learning method would be best for our dataset. Check out the video to find out how! NOTE: This video illustrates the confusion matrix concept as described in the Introduction to…

Published
October 29, 2018
Made for kids
No

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How Machine Learning Fundamentals: The Confusion Matrix is doing

It has 1.00M views in total. It ranks #5,011,850 among tracked YouTube videos by views.

Key facts about Machine Learning Fundamentals: The Confusion Matrix

Total views
1.00M
Total likes
22.3K
Total comments
753
Published
October 29, 2018
Global rank by views
#5,011,850

Frequently asked questions

How many views does Machine Learning Fundamentals: The Confusion Matrix have?

Machine Learning Fundamentals: The Confusion Matrix has 1,007,889 views, 22,337 likes and 753 comments, ranking #5,011,850 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

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