Suppose you are handling a classification problem. The misclassification error isdefined as 1/m E, err(ho(x1)), y), and the cross validation misclassification„(1) „(1)=D1error is similarly defined, using the cross validation examples (xcv,ycv ),.,(mcv) ,(mcv)). Suppose your training error is 0.001, and you cross validation errorCVis 0.40. What problem is the algorithm most likely to be suffering from?High variance (overfitting)Ob.High bias (overfitting)c.High variance (underfitting)Od.High bias (underfitting)

Given Training Error is 0.001 Testing Error (During Cross Validation ) =0.04

(1)' error is similarly defined, using the cross validation examples (x,YCv ), (mcv) „(mcv) ,Ycv Suppose your training error is 0.001, and you cross validation err is 0.40. What problem is the algorithm most likely to be suffering from? Oa. High variance (overfitting) O b. High bias (overfitting)

(1)' error is similarly defined, using the cross validation examples (x,YCv ), (mcv) „(mcv) ,Ycv Suppose your training error is 0.001, and you cross validation err is 0.40. What problem is the algorithm most likely to be suffering from? Oa. High variance (overfitting) O b. High bias (overfitting)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Suppose you are handling a classification problem. The misclassification error is
defined as 1/m E, err(ho(x1)), y), and the cross validation misclassification
„(1) „(1)
=D1
error is similarly defined, using the cross validation examples (xcv,ycv ),.,
(mcv) ,(mcv)
). Suppose your training error is 0.001, and you cross validation error
CV
is 0.40. What problem is the algorithm most likely to be suffering from?
High variance (overfitting)
Ob.
High bias (overfitting)
c.
High variance (underfitting)
Od.
High bias (underfitting)

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