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4.7 out of 5
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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
IBM SPSS Modeler Categories on G2
Filter for Features
Statistical Tool
Scripting | Based on 58 IBM SPSS Modeler reviews. Supports a variety of scripting environments | 75% (Based on 58 reviews) | |
Data Mining | As reported in 48 IBM SPSS Modeler reviews. Mines data from databases and prepares data for analysis | 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 This feature was mentioned in 69 IBM SPSS Modeler reviews. | 83% (Based on 69 reviews) | |
Data Interaction | Interacts with data to prepare it for visualizations and models 68 reviewers of IBM SPSS Modeler have provided feedback on this feature. | 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 This feature was mentioned in 68 IBM SPSS Modeler reviews. | 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 | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript 12 reviewers of IBM SPSS Modeler have provided feedback on this feature. | 82% (Based on 12 reviews) | |
Drag and Drop | Based on 13 IBM SPSS Modeler reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 82% (Based on 13 reviews) | |
Pre-Built Algorithms | As reported in 14 IBM SPSS Modeler reviews. Provides users with pre-built algorithms for simpler model development | 83% (Based on 14 reviews) | |
Model Training | Based on 14 IBM SPSS Modeler reviews. Supplies large data sets for training individual models | 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 | As reported in 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 | Offers image recognition services 11 reviewers of IBM SPSS Modeler have provided feedback on this feature. | 73% (Based on 11 reviews) | |
Natural Language Processing | As reported in 12 IBM SPSS Modeler reviews. Offers natural language processing services | 75% (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) | |
Artificial Neural Networks | Offers artificial neural networks for users 13 reviewers of IBM SPSS Modeler have provided feedback on this feature. | 81% (Based on 13 reviews) | |
Computer Vision | As reported in 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 | Based on 12 IBM SPSS Modeler reviews. Offers natural language generation services | 69% (Based on 12 reviews) | |
Deep Learning | Provides deep learning capabilities This feature was mentioned in 13 IBM SPSS Modeler reviews. | 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 | As reported in 12 IBM SPSS Modeler reviews. Allows users to insert machine learning into operating applications | 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 | Allows users to insert machine learning into operating applications This feature was mentioned in 12 IBM SPSS Modeler reviews. | 75% (Based on 12 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 14 IBM SPSS Modeler reviews. | 81% (Based on 14 reviews) |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use 14 reviewers of IBM SPSS Modeler have provided feedback on this feature. | 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 | Based on 13 IBM SPSS Modeler reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 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 |
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