Tellius
  • ๐ŸšฉGetting Started
    • ๐Ÿ‘‹Say Hello to Tellius
      • Glossary
      • Tellius 101
      • Navigating around Tellius
      • Guided tours for quick onboarding
    • โšกQuick Start Guides
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
    • โœ…Best Practices
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
      • Predict
      • Data
    • โฌ‡๏ธInitial Setup
      • Tellius architecture
      • System requirements
      • Installation steps for Tellius
      • Customizing Tellius
    • Universal Search
    • ๐Ÿ Tellius Home Page
  • Kaiya
    • โ™Ÿ๏ธUnderstanding AI Agents & Agentic Flows
      • Glossary
      • Composer
      • ๐Ÿ—๏ธTriggering an agentic workflow
      • The art of possible
      • Setting up LLM for Kaiya
    • ๐ŸคนKaiya conversational AI
      • โ“FAQs on Kaiya Conversations
      • Triggering Insights with "Why" questions
      • Mastering Kaiya conversational AI
  • ๐Ÿ”Search
    • ๐Ÿ‘‹Get familiar with our Search interface
    • ๐Ÿค”Understanding Tellius Search
    • ๐Ÿ“Search Guide
    • ๐Ÿš€Executing a search query
      • Selecting a Business View
      • Typing a search query
      • Constructing effective search queries
      • Marketshare queries
    • ๐Ÿ”‘Analyzing search results
      • Understanding search results
      • Search Inspector
      • Time taken to execute a query
      • Interacting with the resulting chart
    • ๐Ÿ“ŠKnow your charts in Tellius
      • Understanding Tellius charts
      • Variations of a chart type
      • Building charts from Configuration pane
      • List of chart-specific fields
      • Adding columns to fields in Configuration pane
      • Absolute and percentage change aggregations
      • Requirements of charts
      • Switching to another chart
      • Formatting charts
      • Advanced Analytics
      • Cumulative line chart
    • ๐Ÿง‘โ€๐ŸซHelp Tellius learn
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธSearch history
    • ๐ŸŽ™๏ธVoice-driven search
    • ๐Ÿ”ดLive Query mode
  • ๐Ÿ“ˆVizpads (Explore)
    • ๐Ÿ™‹Meet Vizpads!
    • ๐Ÿ‘‹Get familiar with our Vizpads
    • #๏ธโƒฃMeasures, dimensions, date columns
    • โœจCreating Vizpads
    • ๐ŸŒApplying global filters
      • Filters in multi-BV Vizpads
      • Filters using common columns
    • ๐Ÿ“ŒApplying local filters
    • ๐Ÿ“…Date picker in filters
      • Customizing the calendar view
    • โœ…Control filters
      • Multi-select list
      • Single-select list
      • Range slider
      • Dropdown list
    • ๐Ÿ‘๏ธActions in View mode
      • Interacting with the charts
    • ๐Ÿ“Actions in Edit mode
      • ๐Ÿ—จ๏ธViz-level actions
    • ๐Ÿ”งAnomaly management for line charts
      • Instance level
      • Vizpad level
      • Chart level
    • โณTime taken to load a chart
      • Instance level
      • Vizpad level
      • Chart level
    • โ™Ÿ๏ธWorking with sample datasets
    • ๐Ÿ”Swapping Business View of charts
      • Swapping only the current Vizpad
      • Swapping multiple objects
      • Configuring the time of swap
    • ๐Ÿค–Explainable AI charts
  • ๐Ÿ’กInsights (Discover)
    • ๐Ÿ‘‹Get familiar with our Insights
    • โ“Understanding the types of Insights
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธDiscovery Insights
    • โž•How to create new Insights
      • ๐Ÿ”›Creating Discovery Insight
      • ๐Ÿ”‘Creating Key Driver Insights
      • ใ€ฐ๏ธCreating Trend Insights
      • ๐Ÿ‘ฏCreating Comparison Insights
    • ๐ŸงฎThe art of selecting columns for Insights
      • โžก๏ธHow to include/exclude columns?
  • ๐Ÿ”ขData
    • ๐Ÿ‘‹Get familiar with our Data module
    • ๐Ÿฅ‚Connect
    • ๐ŸชนCreate new datasource
      • Connecting to Oracle database
      • Connecting to MySQL database
      • Connecting to MS SQL database
      • Connecting to Postgres SQL database
      • Connecting to Teradata
      • Connecting to Redshift
      • Connecting to Hive
      • Connecting to Azure Blob Storage
      • Connecting to Spark SQL
      • Connecting to generic JDBC
      • Connecting to Salesforce
      • Connecting to Google cloud SQL
        • Connecting to a PostgreSQL cloud SQL instance
        • Connecting to an MSSQL cloud SQL instance
        • Connecting to a MySQL Cloud SQL Instance
      • Connecting to Amazon S3
      • Connecting to Google BigQuery
        • Steps to connect to a Google BigQuery database
      • Connecting to Snowflake
        • OAuth support for Snowflake
        • Integrating Snowflake with Azure AD via OAuth
        • Integrating Snowflake with Okta via OAuth
        • Azure PrivateLink
        • AWS PrivateLink
        • Best practices
      • Connecting to Databricks
      • Connecting to Databricks Delta Lake
      • Connecting to an AlloyDB Cluster
      • Connecting to HDFS
      • Connecting to Looker SQL Interface
      • Loading Excel sheets
      • ๐ŸšงUnderstanding partitioning your data
    • โณTime-to-Live (TTL) and Caching
    • ๐ŸŒทRefreshing a datasource
    • ๐ŸชบManaging your datasets
      • Swapping datasources
    • ๐ŸฃPreparing your datasets
      • ๐ŸคพActions that can be done on a dataset
      • Data Pipeline
      • SQL code snippets
      • โœ๏ธWriteback window
      • ๐ŸงฉEditing Prepare โ†’ Data
      • Handling null or mismatched values
      • Metadata view
      • List of icons and their actions
        • Functions
        • SQL Transform
        • Python Transform
        • Standard Aggregation
        • Creating Hierarchies
      • Dataset Scripting
      • Fusioning your datasets
      • Scheduling refresh for datasets
    • ๐ŸฅPreparing your Business Views
      • ๐ŸŒŸCreate a new Business View
      • Creating calculated columns
      • Creating dynamic parameters
      • Scheduling refresh for Business Views
      • Setting up custom calendars
    • Tellius Engine: Comparison of In-Memory vs. Live Mode
  • Feed
    • ๐Ÿ“ฉWhat is a Feed in Tellius?
    • โ—Alerts on the detection of anomalies
    • ๐Ÿ“ฅViewing and deleting metrics
    • ๐Ÿ–ฒ๏ธTrack a new metric
  • Assistant
    • ๐Ÿ’Introducing Tellius Assistant
    • ๐ŸŽคVoice-based Assistant
    • ๐Ÿ’ฌInteracting with Assistant
    • โ†–๏ธSelecting Business View
  • Embedding Tellius
    • What you should know before embedding
    • Embedding URL
      • ๐Ÿ“ŠEmbedding Vizpads
        • Apply and delete filters
        • Vizpad-related actionTypes
        • Edit, save, and share a Vizpad
        • Keep, remove, drill sections
        • Adding a Viz to a Vizpad
        • Row-level policy filters
      • ๐Ÿ’กEmbedding Insights
        • Creating and Viewing Insights
      • ๐Ÿ”ŽEmbedding Search
        • Search query execution
      • Embedding Assistant
      • ๐Ÿช„Embedding Kaiya
      • Embedding Feed
  • API
    • Insights APIs
    • Search APIs
    • Authentication API (Login API)
  • โœจWhat's New
    • Release 5.4
      • Patch 5.4.0.x
    • Release 5.3
      • Patch 5.3.1
      • Patch 5.3.2
      • Patch 5.3.3
    • Release 5.2
      • Patch 5.2.1
      • Patch 5.2.2
    • Release 5.1
      • Patch 5.1.1
      • Patch 5.1.2
      • Patch 5.1.3
    • Release 5.0
      • Patch 5.0.1
      • Patch 5.0.2
      • Patch 5.0.3
      • Patch 5.0.4
      • Patch 5.0.5
    • Release 4.3 (Fall 2023)
      • Patch 4.3.1
      • Patch 4.3.2
      • Patch 4.3.3
      • Patch 4.3.4
    • Release 4.2
      • Patch 4.2.1
      • Patch 4.2.2
      • Patch 4.2.3
      • Patch 4.2.4
      • Patch 4.2.5
      • Patch 4.2.6
      • Patch 4.2.7
    • Release 4.1
      • Patch 4.1.1
      • Patch 4.1.2
      • Patch 4.1.3
      • Patch 4.1.4
      • Patch 4.1.5
    • Release 4.0
Powered by GitBook

ยฉ 2025 Tellius

On this page
  • Components of Explainable AI charts
  • How to create a new explainable AI chart?
  • Factors Sorting

Was this helpful?

Export as PDF
  1. Vizpads (Explore)

Explainable AI charts

Get more clarity and understanding of the model's decision-making process

PreviousConfiguring the time of swapNextGet familiar with our Insights

Last updated 1 year ago

Was this helpful?

The explainable AI charts in Vizpads offer users a detailed view of how machine learning models derive their predictions. This bridges the gap between black-box AI predictions and tangible, understandable factors that influence each outcome.

Please note that explainable AI charts are exclusively available in Vizpads and are not part of the Search module.

Components of Explainable AI charts

  1. This chart presents a visual representation of the influencing factors for a machine learning model's prediction.

  • Prediction: Shows the predicted outcome of the machine learning model. It gives a snapshot of what will occur based on the data and factors.

  • Accuracy: Displays the accuracy percentage of the model's prediction. It helps gauge the reliability of the AI's insights

  • Factors: Lists down the factors affecting the prediction, ranked by their importance.

  • Values: Each factor comes with a value. A positive value indicates the factor positively impacts the prediction, while a negative value means it hampers it.

The column used for prediction will be displayed at the top (next to Prediction and Accuracy).

  1. To access a detailed breakdown of the prediction, click on any row within the chart.

  2. Upon selection, the left panel will update to display a list of contributing factors along with their respective values, offering a clear insight into the prediction's reasons.

By understanding the influencing factors, users can get a clear insight into the 'why' behind every AI prediction and make informed decisions.

How to create a new explainable AI chart?

  1. Navigate to Explore -> Create new Vizpad or open an existing Vizpad.

  2. Click on Add Chart -> Explainable AI.

  3. In the Configuration pane on the right, choose the required ML Model. This model determines the predictions and factors shown in the Explainable AI Chart.

  1. From that model, select the required Business View from a list of Business Views used by the ML-Model.

  2. The target columns selected for prediction and accuracy will be auto-populated under Columns, and highlighted in yellow with a lock sign displayed adjacent to each column name.

  3. Sort by: Double-click the columns by which the chart needs to be sorted or drag and drop the required columns under the Sort by field.

  4. Unused: The columns that cannot be used for the chart but are selected will be listed here.

  5. Enable Pagination if you want data to be displayed on separate pages. Provide the required number to be shown per page in the Show Rows field.

Factors Sorting

The "Factors Sorting" section allows users to customize the order in which these factors are displayed, based on their values. By toggling between these options, users can gain a clearer understanding of which factors play a dominant role in AI's predictions and how they relate to each other in magnitude and direction.

1. Value Type:

  • Absolute: When you select this option, the factors will be sorted based on their absolute values. It ignores whether the influence of a factor is positive or negative. This mode focuses solely on the magnitude or strength of the influence, not its direction. For example, if you have factors with values of -10, 5, and -8, they'll be sorted as 10, 8, and 5 in absolute sorting.

  • Real: In this mode, factors are sorted by their genuine values, including their positive or negative influence. This mode gives you a holistic view by considering both the magnitude and the direction of the influence. Continuing with the previous example, they would be sorted as 5, -8, and -10 in real sorting.

2. Sort Direction:

The "Sort Direction" determines the order (ascending or descending) in which the factors are presented.

  • Decreasing: When selected, the factors will be displayed from the highest to the lowest value, based on the chosen value type (either Absolute or Real).

  • Increasing: Opposite to the decreasing option, factors are listed from the smallest (or most negative) to the largest (or most positive) based on the selected value type.

Configuration of explainable AI chart
Factors sorting section
๐Ÿ“ˆ
๐Ÿค–
Explainable AI chart