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What is WizWhy?

WizWhy examines the interplay between the values of one data field and those of others within the dataset. This analysis revolves around a user-selected dependent variable, while the other fields serve as independent variables or conditions. The dependent variable can be analyzed in two distinct ways: either as a Boolean value or as a continuous measurement. To enhance their analysis, users can fine-tune various parameters, such as the minimum probability needed for rule generation, the minimum number of instances required to substantiate each rule, and the relative costs of false negatives compared to false positives. WizWhy effectively identifies and articulates a set of rules that link the dependent variable to the other fields, employing if-then and if-and-only-if statements to convey these relationships. Furthermore, based on the established rules, WizWhy reveals significant patterns, uncovers unexpected rules that may highlight intriguing phenomena, and identifies anomalies within the dataset. In addition to this, WizWhy can also generate predictions for new instances by utilizing the rules it has derived, enabling users to make informed decisions based on the analysis. The comprehensive insights provided by WizWhy empower users to understand their data more deeply and leverage the findings for strategic purposes.

What is Salford Predictive Modeler (SPM)?

The Salford Predictive Modeler® (SPM) software suite is renowned for its remarkable speed and accuracy in crafting predictive, descriptive, or analytical models. Featuring engines such as CART®, TreeNet®, and Random Forests®, along with innovative automation capabilities and unique modeling functionalities, SPM stands out in the realm of data analysis tools. This comprehensive suite encompasses a range of data mining technologies, including classification, regression, survival analysis, and methods for handling missing values, as well as data binning and clustering. SPM algorithms are invaluable in sophisticated data science applications, making them a cornerstone for analysts seeking to derive insights from complex datasets. The automation of model construction is significantly streamlined with SPM, facilitating a more efficient exploration and refinement process. Furthermore, the suite allows for the seamless integration of results from various modeling approaches into a single, cohesive package, enhancing the review process for users. This combination of features not only boosts productivity but also empowers data professionals to make informed decisions more effectively.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

WizSoft

Date Founded

1983

Company Location

United States

Company Website

www.wizsoft.com/products/wizwhy/

Company Facts

Organization Name

Minitab

Date Founded

1972

Company Location

United States

Company Website

www.minitab.com/en-us/products/spm/

Categories and Features

Data Analysis

Not specified

Data Mining

Not specified

Predictive Analytics

Not specified

Categories and Features

Data Mining

Predictive Modeling

Machine Learning

Not specified

Predictive Analytics

Not specified

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