Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

Split the csv dataset into k folds for cross validation. def k _ fold _ cross _ validation ( dataset , k ) : n

Split the csv dataset into k folds for cross validation.
def k_fold_cross_validation(dataset, k):
n = len(dataset) # Length of the dataset
fold_size = n // k # Divide the length into smaller folds
folds =[] # Empty list of folds
# Shuffle the dataset
shuffled_dataset = dataset.copy()
random.shuffle(shuffled_dataset)
for i in range(k):
# Assign a start and end variables in respect to the fold size
###
### YOUR CODE HERE
###
# Generate all the test indices for the current fold
test_indices =[]
###
### YOUR CODE HERE
###
# Generate all the train indices for the all other folds
train_indices =[]
###
### YOUR CODE HERE
###
# Create a test set that is randomly populated via the test_indices
test_set =[]
###
### YOUR CODE HERE
###
# Create a test set that is randomly populated via the train_indices
train_set =[]
###
### YOUR CODE HERE
###
folds.append((train_set, test_set))
return folds

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image_2

Step: 3

blur-text-image_3

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Time Series Databases New Ways To Store And Access Data

Authors: Ted Dunning, Ellen Friedman

1st Edition

1491914726, 978-1491914724

More Books

Students also viewed these Databases questions

Question

How is a futures contract priced?

Answered: 1 week ago