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IBM SPSS Modeler
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IBM SPSS Modeler Features

What are the features of IBM SPSS Modeler?

Statistical Tool

  • Scripting
  • Data Mining
  • Algorithms

Data Analysis

  • Analysis
  • Data Interaction

Decision Making

  • Modeling
  • Data Visualizations
  • Report Generation

Model Development

  • Pre-Built Algorithms
  • Model Training
  • Model Training
  • Feature Engineering

Deployment

  • Scalability
  • Scalability

System

  • Data Ingestion & Wrangling

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Filter for Features

Statistical Tool

Scripting

Supports a variety of scripting environments This feature was mentioned in 58 IBM SPSS Modeler reviews.
75%
(Based on 58 reviews)

Data Mining

Mines data from databases and prepares data for analysis This feature was mentioned in 48 IBM SPSS Modeler reviews.
83%
(Based on 48 reviews)

Algorithms

Applies statistical algorithms to selected data This feature was mentioned in 60 IBM SPSS Modeler reviews.
80%
(Based on 60 reviews)

Data Analysis

Analysis

Analyzes both structured and unstructured data 69 reviewers of IBM SPSS Modeler have provided feedback on this feature.
83%
(Based on 69 reviews)

Data Interaction

As reported in 68 IBM SPSS Modeler reviews. Interacts with data to prepare it for visualizations and models
84%
(Based on 68 reviews)

Decision Making

Modeling

As reported in 70 IBM SPSS Modeler reviews. Offers modeling capabilities
84%
(Based on 70 reviews)

Data Visualizations

Creates data visualizations or graphs 68 reviewers of IBM SPSS Modeler have provided feedback on this feature.
75%
(Based on 68 reviews)

Report Generation

Generates reports of data performance This feature was mentioned in 63 IBM SPSS Modeler reviews.
78%
(Based on 63 reviews)

Model Development

Language Support

Based on 12 IBM SPSS Modeler reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
82%
(Based on 12 reviews)

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 13 IBM SPSS Modeler reviews.
82%
(Based on 13 reviews)

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development 14 reviewers of IBM SPSS Modeler have provided feedback on this feature.
83%
(Based on 14 reviews)

Model Training

Supplies large data sets for training individual models This feature was mentioned in 14 IBM SPSS Modeler reviews.
85%
(Based on 14 reviews)

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development 14 reviewers of IBM SPSS Modeler have provided feedback on this feature.
81%
(Based on 14 reviews)

Model Training

As reported in 15 IBM SPSS Modeler reviews. Supplies large data sets for training individual models
84%
(Based on 15 reviews)

Feature Engineering

Based on 15 IBM SPSS Modeler reviews. Transforms raw data into features that better represent the underlying problem to the predictive models
69%
(Based on 15 reviews)

Machine/Deep Learning Services

Computer Vision

As reported in 11 IBM SPSS Modeler reviews. Offers image recognition services
73%
(Based on 11 reviews)

Natural Language Processing

Offers natural language processing services 12 reviewers of IBM SPSS Modeler have provided feedback on this feature.
75%
(Based on 12 reviews)

Natural Language Generation

Based on 12 IBM SPSS Modeler reviews. Offers natural language generation services
69%
(Based on 12 reviews)

Artificial Neural Networks

Offers artificial neural networks for users This feature was mentioned in 13 IBM SPSS Modeler reviews.
81%
(Based on 13 reviews)

Computer Vision

Based on 12 IBM SPSS Modeler reviews. Offers image recognition services
65%
(Based on 12 reviews)

Natural Language Understanding

Based on 12 IBM SPSS Modeler reviews. Offers natural language understanding services
64%
(Based on 12 reviews)

Natural Language Generation

Offers natural language generation services This feature was mentioned in 12 IBM SPSS Modeler reviews.
69%
(Based on 12 reviews)

Deep Learning

As reported in 13 IBM SPSS Modeler reviews. Provides deep learning capabilities
67%
(Based on 13 reviews)

Deployment

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 13 IBM SPSS Modeler reviews.
74%
(Based on 13 reviews)

Application

Allows users to insert machine learning into operating applications 12 reviewers of IBM SPSS Modeler have provided feedback on this feature.
86%
(Based on 12 reviews)

Scalability

Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 15 IBM SPSS Modeler reviews.
76%
(Based on 15 reviews)

Managed Service

Based on 14 IBM SPSS Modeler reviews. Manages the intelligent application for the user, reducing the need of infrastructure
76%
(Based on 14 reviews)

Application

Based on 12 IBM SPSS Modeler reviews. Allows users to insert machine learning into operating applications
75%
(Based on 12 reviews)

Scalability

As reported in 14 IBM SPSS Modeler reviews. Provides easily scaled machine learning applications and infrastructure
81%
(Based on 14 reviews)

System

Data Ingestion & Wrangling

As reported in 14 IBM SPSS Modeler reviews. Gives user ability to import a variety of data sources for immediate use
77%
(Based on 14 reviews)

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript This feature was mentioned in 12 IBM SPSS Modeler reviews.
78%
(Based on 12 reviews)

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 13 IBM SPSS Modeler reviews.
78%
(Based on 13 reviews)

Generative AI

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data

AI Text Summarization

Condenses long documents or text into a brief summary.

Not enough data

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data

AI Text Summarization

Condenses long documents or text into a brief summary.

Not enough data

AI Text-to-Image

Provides the ability to generate images from a text prompt.

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data

IBM SPSS Modeler