Using the concept of overfitting, explain why when a model is fit to training data, zero error
Question:
Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good.
Fantastic news! We've Found the answer you've been seeking!
Step by Step Answer:
Overfitting occurs when a machine learning model learns the training data too well capturing noise and random fluctuations in the data rather than the ...View the full answer
Answered By
Douglas Makokha
Unlock Academic Success with Dedicated Tutoring and Expert Writing Support!
Are you ready to excel in your academics? Look no further! As a passionate tutor, I believe that dedication and hard work are the keys to achieving outstanding results. When it comes to academics, I strive to provide nothing but the best for every student I encounter.
With a relentless thirst for knowledge, I have extensively researched numerous subjects and topics, equipping myself with a treasure trove of answers to tackle any question that comes my way. With four years of invaluable experience, I have mastered the art of unraveling even the most intricate problems. Collaborating with esteemed writers has granted me exclusive access to the trade secrets utilized by the industry's top professionals.
Allow me the pleasure of assisting you with your writing assignments. I thrive on challenges and will guide you through any obstacles you may face. Together, we will unlock your academic potential and pave the way for your success.
60+ Reviews
340+ Question Solved
Related Book For 
Machine Learning For Business Analytics
ISBN: 9781119828792
1st Edition
Authors: Galit Shmueli, Peter C. Bruce, Amit V. Deokar, Nitin R. Patel
Question Posted:
