Machine Learning You have trained a logistic regression classifier and planned to make predictionsaccording to:Predict y=1 if he(x) 2 thresholdPredict y=0 if he(x) < thresholdFor different threshold values, you get different values of precision (P) and recall (R).Which of the following is a reasonable way to pick the threshold value?Oa.Measure precision (P) and recall (R) on the test set and choose the value ofP+Rthreshold which maximizes2O b.Measure precision (P) and recall (R) on the cross validation set and choose thePRvalue of threshold which maximizes 2P+ROc.Measure precision (P) and recall (R) on the test set and choose the value ofPRthreshold which maximizes 2P+RO d.Measure precision (P) and recall (R) on the cross validation set and choose theP+Rvalue of threshold which maximizes2

Logistic regression is an supervised learning algorithm . It is mostly…

You have trained a logistic regression classifier and planned to make predictions according to: Predict y=1 if he (x) 2 threshold Predict y=0 if he (x) < threshold For different threshold values, you get different values of precision (P) and recall (R). Which of the following is a reasonable way to pick the threshold value?

You have trained a logistic regression classifier and planned to make predictions according to: Predict y=1 if he (x) 2 threshold Predict y=0 if he (x) < threshold For different threshold values, you get different values of precision (P) and recall (R). Which of the following is a reasonable way to pick the threshold value?

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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