Users report that Weka's user interface is intuitive, making it easier for beginners to navigate, while scikit-learn's interface is more code-centric, which some users find less accessible.
Reviewers mention that scikit-learn excels in integration with other Python libraries, such as NumPy and pandas, which enhances its functionality for data manipulation and analysis, whereas Weka's integration capabilities are more limited.
G2 users highlight that scikit-learn offers a wider variety of algorithms and models, including advanced techniques like ensemble methods, while Weka is praised for its comprehensive suite of visualization tools that help in understanding data distributions.
Users on G2 report that Weka's built-in data preprocessing tools are user-friendly, allowing for easy manipulation of datasets, whereas scikit-learn requires more coding knowledge to achieve similar preprocessing tasks.
Reviewers say that scikit-learn's documentation is extensive and well-organized, making it easier for users to find solutions to their problems, while Weka's documentation is considered less comprehensive, leading to some frustration among users.
Users mention that Weka's support quality is lower compared to scikit-learn, which benefits from a larger community and more active forums, providing better assistance and resources for troubleshooting.
Pricing
Entry-Level Pricing
Weka
No pricing available
scikit-learn
No pricing available
Free Trial
Weka
No trial information available
scikit-learn
No trial information available
Ratings
Meets Requirements
8.9
12
9.6
52
Ease of Use
8.2
12
9.6
52
Ease of Setup
8.8
11
9.6
40
Ease of Admin
9.0
10
9.4
39
Quality of Support
7.9
8
9.4
48
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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?
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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
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