[Python Error] modulenotfounderror: no module named 'sklearn.cross_validation' [Solved]

posted 8 min read

Python programming mistakes are frequently seen, but they may be annoying, especially for beginners. An example of one of these errors is "ModuleNotFoundError," which shows that Python was unable to locate a certain module or library in your code. The issue arises when using outdated or incorrect module names in scikit-learn.

 In this article, we'll look into the "ModuleNotFoundError: No Module Named 'sklearn.cross_validation'" error, why it occurs, provide examples, and explain how to resolve it like using libraries up to date, consult documentation, use virtual environments, and implement version control practices. We'll also share some best practices to help you avoid similar errors in the future.

What is 'sklearn.cross_validation' error?

For employment opportunities involving data science and machine learning, Python is a popular option. And one of the most widely used libraries for machine learning in Python is Scikit-Learn which is also known as sklearn.

However, sometimes when working with Scikit-Learn, you might encounter a error message that says: "ModuleNotFoundError: No module named 'sklearn.cross_validation'".It indicates that Python cannot find the 'cross_validation' module within the Scikit-Learn library. The error's example is seen below.

Why does this error occur?

1. Outdated scikit-learn Version

Previously (before 0.22), the module'sklearn.cross_validation' was used in scikit-learn. However, as of version 0.22, this module has been deprecated in favour of'sklearn.model_selection'. If you're using an old scikit-learn version, you'll get this error while attempting to import'sklearn.cross_validation.' The code is as followed:

# Attempting to import the old 'sklearn.cross_validation'
import sklearn.cross_validation
# Rest of your code
Tip: If you're using a scikit-Learn version equal to or higher than 0.22, you won't find the 'cross_validation' module anymore instead you will find 'model_selection' module.

2. Importing cross_validation with an Alias

This issue may occur if you have tried to import the outdated cross_validation module by using a cv alias. This may cause confusion since it adds another layer of abstraction with the alias, which may hide the module's true source.

# Incorrect import with alias using the deprecated cross_validation module
import sklearn.cross_validation as cv
from cv import train_test_split

The message is as shown:

3. Using Deprecated Module in Function/Method

The function 'my_function' makes use of the deprecated cross_validation module. This use may result in unexpected behaviour or the deprecated module not being accessible, which might create problems.

# Incorrect usage of the deprecated cross_validation module in a function
from sklearn.cross_validation import KFold
def my_function():
    kf = KFold(n_splits=5)
    # rest of the function

The message is as shown:

How can you solve the error?

You can follow the following methods to resolve your error:

1. Use new scikit-learn Version

The following 'import' method gives "ModuleNotFoundError: No module named 'sklearn.cross_validation'" error is using the deprecated version "cross_validation" error.

import sklearn.cross_validation

You must change you above code according to below code to solve the error.

import sklearn.model_selection

2. Corrected Import with Alias (Using Deprecated cross_validation Module)

The following code maintains the right module name (sklearn.cross_validation) and uses the alias (cv) consistently to guarantee appropriate reference.

# Corrected import with an alias using the deprecated cross_validation module
import sklearn.cross_validation as cv
from sklearn.cross_validation import train_test_split

3. Corrected Usage in a Function (Using Deprecated cross_validation Module)

While the deprecated module is still used within the method, the following code makes sure that the right import statement is used to prevent the ModuleNotFoundError from occurring. To keep the library compatible with updates, it's important to fix these uses.

# Corrected usage of the deprecated cross_validation module in a function
from sklearn.cross_validation import KFold
def my_function():
    kf = KFold(n_splits=5)
    # rest of the function

These solutions, along with their respective code examples and explanations, should help you resolve the "ModuleNotFoundError: No Module Named 'sklearn.cross_validation'" error and ensure that your Python code can import and use scikit-learn without any issues.

Best Methods to Avoid Mistakes in the Future

You can follow the following preventive measures to avoid error in the future:

  1. Always refer to the official documentation of the library you are using to ensure you are using the correct module names and imports.
  2. Create virtual environments for your projects to manage dependencies and isolate them from each other. This helps prevent conflicts and version issues.
  3. To keep track of changes in your code, use version control systems such as Git. If an error happens, this makes it easier to return to a working state.
Q: Why did they deprecate 'sklearn.cross_validation'?
A: The scikit-learn developers deprecated 'sklearn.cross_validation' because it led to confusion. They reorganized the module structure to make it more intuitive and consistent.

Q: Is there a way to suppress or handle this error gracefully?
A: While it's recommended to update your code to avoid deprecated modules, you can handle the error using try-except blocks to provide fall-back behaviour or informative error messages to users. However, it's better to address the root cause by updating your code.

Wrapping Up

In conclusion, the "ModuleNotFoundError: No module named 'sklearn.cross_validation'" error is a common issue encountered by Python developers when working with the Scikit-Learn library. This error occurs when your code attempts to import the 'cross_validation' module, which has been deprecated as an older module and removed from Scikit-Learn starting from version 0.22. To resolve this error, you must ensure compatibility with the latest Scikit-Learn versions, it is essential to update your code by Update import statements to use 'sklearn.model_selection' instead of 'sklearn.cross_validation.' which is has been deprecated.


Here are some reference links related to above error:

If you read this far, tweet to the author to show them you care. Tweet a Thanks

More Posts

Modulenotfounderror: no module named 'tensorflow.contrib'

farkhandaathar - Oct 31, 2023

Fixed Attributeerror: module tensorflow has no attribute configproto

Phantom - Aug 26, 2023

Dict' object has no attribute 'append' python

Muhammad Sameer Khan - Nov 23, 2023

NameError: name 'pd' is not defined in Python [Solved]

muhammaduzairrazaq - Feb 29

[PYTHON] Zipfile.badzipfile: file is not a zip file [SOLVED]

Muzzamil Abbas - Feb 14