# TODO 1.2feature_names =print(f'The feature names are:\n{feature_names.values}')([(np.all(feature_names.values == np.array(['X','Y','month','day','FFMC','DMC','DC','ISI','temp','RH','wind','rain','area'],dtype='object')),"Wrong column names detected! Make sure you used .columns!")]) The feature names are:['X' 'Y' 'month' 'day' 'FFMC' 'DMC' 'DC' 'ISI' 'temp' 'RH' 'wind' 'rain''area']Your code PASSED the code check! Call the columns class variable to store all the NAMES of the features in thedataset using the forestfire_df DataFrame we just built. Put the results inthe variable feature names.

code : - i created dummy dataframe but you can used your. name is same # import pandas import…

Answered: # TODO 1.2 feature_names = print(f'The…

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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# TODO 1.2

feature_names =

print(f'The feature names are:\n{feature_names.values}')

([

(np.all(feature_names.values == np.array(['X','Y','month','day','FFMC','DMC','DC','ISI','temp','RH','wind','rain','area'],dtype='object')),"Wrong column names detected! Make sure you used .columns!")

])

The feature names are:
['X' 'Y' 'month' 'day' 'FFMC' 'DMC' 'DC' 'ISI' 'temp' 'RH' 'wind' 'rain'
'area']
Your code PASSED the code check!

Call the columns class variable to store all the NAMES of the features in the
dataset using the forestfire_df DataFrame we just built. Put the results in
the variable feature names.

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