Machine Learning Fundamentals: Sensitivity and Specificity
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In this StatQuest we talk about Sensitivity and Specificity – to key concepts for evaluating Machine Learning methods. These make it easier to choose which method is best for your data.
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NOTE: At 7:28 my wording could be improved. The True Negatives for Troll 2 are the people who were correctly predicted to not like Troll 2.
You may want to add terminology alert for Recall and Precision. May I get your email address ?
You are better than all of my undergrad and grad professors 😀
As to your wording, I would exchange your "predict" with "diagnose", such as "patients DIAGNOSED with heart disease". You may say that a diagnosis is issued by a medical doctor, while a prediction is issued by a statistical/ML model. BAM! – hart to argue against.
BAMM!! this guy is a legend.
Finally a clear explanation of sensitivity and specificity, thanks Josh
Josh Starmer, You rock!
I came for the Machine Learning and stayed for the music. If it was more important to identify positives no matter what the movie was would we need to take an average of all the sensitivity calculations for each method to find one with highest sensitivity, but if we were only interested in identifying people who liked one of the particular movies would we just focus on sensitivity reading for that movie?
Why didn't I find this channel before?? It's a gem!!
This is my go to channel for any stats related knowledge. Thanks Josh for this exceptional channel👏👏
BAM! That's an amazing video. I completely get sensitivity vs specificity now. Thanks!
Baaaaaaaaam 💥💥
used to imitate the sound of a hard blow or to convey something happening abruptly.
Sir i hava a quest related to data science field…. I have no mentor….so tell me there is so much automation in data science field like library for EDA … I have to learn EDA step by step or use library directly
Your vids are awesome!, thank you
Amazing class. Way to go! Salute from Brazil.
BAM4!
Hi, is there any difference in results if we change rows to Actual and columns to predicted? Great video btw!!!
Even though you explain it clear and simple, keeping track of the rows and columns when calculating sensitivity and specificity is still confusing.
Watched confusion matrix statquest, and I forgot to like. So I paused in the middle of this one, went back and liked then came back. Because u deserve more than just likes. But for now that's all I have to offer. God bless u and thanks
Can specificity be zero at all ?
Hi Josh, do you think it would add value to add metrics like Precision, Recall and Accuracy here, since we are talking about Confusion Matrix? I know Sensitivity and Recall are the same, just thought we can mention the term as well.
I am really thirsty and watching statquest! Thank you sire.
Hi Josh, do you have a video about lift chart? Can't find it in your channel 🙁
well done!
Are your songs on spotify
Thank you for the video, it's helpful. Can you please clarify the True Negatives ( 7:43). Why would we include 77 and 92?