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Compare Patern Recognition and Machine Learning Toolbox and scikit-learn 
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At a Glance
Market Segments
Small-Business (45.5% of reviews)
Enterprise (40.7% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Patern Recognition and Machine Learning Toolbox
Star Rating
(11)4.0 out of 5
Market Segments
Small-Business (45.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Patern Recognition and Machine Learning Toolboxscikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about scikit-learnSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the "Pattern Recognition and Machine Learning Toolbox" has a steeper learning curve, with an ease of use score of 7.6, while "scikit-learn" shines with a score of 9.6, making it more accessible for beginners.
- Reviewers mention that "scikit-learn" offers superior integration capabilities, particularly with its extensive library of algorithms, which allows for seamless incorporation into various workflows, whereas "Pattern Recognition and Machine Learning Toolbox" has more limited integration options.
- G2 users highlight that "scikit-learn" provides better actionable insights due to its robust data visualization tools, while users of "Pattern Recognition and Machine Learning Toolbox" feel that the insights generated are less intuitive and harder to interpret.
- Users on G2 report that the training data handling in "scikit-learn" is more flexible and user-friendly, allowing for easier manipulation and preprocessing of datasets compared to "Pattern Recognition and Machine Learning Toolbox," which can be cumbersome in this regard.
- Reviewers mention that the quality of support for "scikit-learn" is rated higher at 9.4, with many users praising the active community and extensive documentation, while "Pattern Recognition and Machine Learning Toolbox" has a lower support quality rating of 7.6, leading to frustrations among users seeking help.
- Users say that "Pattern Recognition and Machine Learning Toolbox" excels in specific advanced features like "Neural Network Toolbox," which is beneficial for deep learning applications, but "scikit-learn" is preferred for its versatility and broader range of machine learning algorithms.
Pricing
Entry-Level Pricing
Patern Recognition and Machine Learning Toolbox
No pricing availablescikit-learn
No pricing availableFree Trial
Patern Recognition and Machine Learning Toolbox
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
8.3
9
9.6
52
Ease of Use
7.6
9
9.6
52
Ease of Setup
7.5
6
9.6
40
Ease of Admin
Not enough data
9.4
39
Quality of Support
7.6
7
9.4
48
Has the product been a good partner in doing business?
Not enough data
9.2
35
Product Direction (% positive)
10.0
9
9.3
52
Features by Category
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Patern Recognition and Machine Learning Toolbox and scikit-learn are categorized as Machine Learning
Unique Categories
Patern Recognition and Machine Learning Toolbox has no unique categories
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Patern Recognition and Machine Learning Toolbox
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-learn
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
27.3%
Research
18.2%
Information Technology and Services
9.1%
Higher Education
9.1%
E-Learning
9.1%
Other
27.3%
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Alternatives
Discussions
Patern Recognition and Machine Learning Toolbox has no discussions with answers
What is scikit-learn used for?
2 Comments
MS
Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine...Read more
What is Python Scikit learn?
1 Comment
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
scikit-learn has no more discussions with answers
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