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@aniek.baten: @Enzo #parijs
Aniek<33
Open In TikTok:
Region: NL
Monday 16 February 2026 15:48:22 GMT
2129
75
8
5
Music
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No Watermark .mp4 (
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Music .mp3
Comments
roos.xvdh :
Poepjes 🥰
2026-02-16 16:59:44
1
Rach :
aw schatjes
2026-02-16 22:56:17
1
Liselotte :
Liefjes❤️
2026-02-16 15:54:08
1
feline :
Knap meisje
2026-02-16 15:53:53
0
samm <3 :
Liefjes❤️❤️
2026-02-16 18:51:03
1
Enzo :
❤️
2026-02-16 15:56:44
0
Jazzlynn :
😍😍
2026-02-16 20:08:02
0
To see more videos from user @aniek.baten, please go to the Tikwm homepage.
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AWS AI Practitioner Question of the Day | Question 11 of 65 📊 Precision vs. Recall! 📉 #shorts The Scenario: A model catches 95% of churners but generates too many false alarms (loyal customers flagged as leaving). The Challenge: - Goal: Measure how many ""Churn"" predictions were actually right. - Trade-off: High coverage (Recall) vs. low flag accuracy. The Solution: Precision 🎯 - Precision: Measures the quality of ""Yes."" (Correct Churners / All Predicted Churners). - Recall: Measures the quantity caught. (Correct Churners / All Actual Churners). - Logic: High precision reduces ""false alarms""; high recall reduces ""misses."" Why not others? - Accuracy: Misleading on imbalanced data (where most customers don't churn). - F1-Score: Averages both; doesn't isolate prediction correctness. Exam Tip: ""How often is the alert right?"" = Precision. ""Did we catch everyone?"" = Recall. 🚀 #AWS #AIPractitioner #MachineLearning #Precision #Recall #ConfusionMatrix #ModelEvaluation #AI #CloudAI #AWSCertification #DataScience #KodeKloud
شسوا زماني، #اكسبلورexplore #اكسبلور_تيك_توك #باسم_الكربلائي #الشعب_الصيني_ماله_حل #ياحسين_ياشهيد_كربلاء
يانفس لا تتكبري فسيأتي يوما فترحلي 🤎😔 #اناشيد #بدون_موسيقي #foryou #يانفس_توبي_إن_الوقت_قد_حان #no_music
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