Make sure to show it as steps on a python with the final answer Fit a decision tree model using the training dataset (`x_train` and `y_train`) Create a variable named `y_pred`. Make predictions using the `x_test` variable and save these predictions to the y_pred variable Create a variable called `dt_accuracy`. Compute the accuracy rate of the logistic regression model using the `y_pred` and `y_test` and assign it to the `dt_accuracy` variable
Make sure to show it as steps on a python with the final answer Fit a decision tree model using the training dataset (`x_train` and `y_train`) Create a variable named `y_pred`. Make predictions using the `x_test` variable and save these predictions to the y_pred variable Create a variable called `dt_accuracy`. Compute the accuracy rate of the logistic regression model using the `y_pred` and `y_test` and assign it to the `dt_accuracy` variable
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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Make sure to show it as steps on a python with the final answer
Fit a decision tree model using the training dataset (`x_train` and `y_train`)
Create a variable named `y_pred`.
Make predictions using the `x_test` variable and save these predictions to the y_pred variable
Create a variable called `dt_accuracy`.
Compute the accuracy rate of the logistic regression model using the `y_pred` and `y_test` and assign it to the `dt_accuracy` variable
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