Predictive Analysis
Predictive Analytics is a branch of advanced analytics for making projections about possible future outcomes using historical data and ML techniques. Based on historical data, statistical modelling, data mining techniques and ML models companies evaluate risk and opportunities.
Smart Bot enables you to create a model to predict probable outcomes with a confidence score, for better informed decision making.
To view the trained models for the Predictor List, navigate to the Smart Bot > Predictive Analysis.
The Predictive Analysis page displays two tabs namely Dataset and Model.
- Dataset: Dataset page helps to upload datasets to the Smart Bot.
The Datasets section is displayed with the following details:
- Dataset Name: Specifies the name of the dataset.
- Description: Specifies the description of the dataset.
- File Name: Specifies a name to identify the dataset.
- Created Time: Specifies the date and time of the dataset when it was created.
- Created By: Specifies the name of the user who has created the dataset.
- Actions: Use the Actions column for performing the following operations:
- Download:
To download the uploaded dataset.
- Delete:
To delete the uploaded dataset.
- Model: Model Page helps to select required dataset to train a model.

Model page displays following information:
- Predictor Name: Specifies the name of the Predictor model.
- Dataset Name: Specifies the name of the selected dataset.
- Status: Specifies status of the classifier model.
- Completed: The model is trained successfully.
- In Progress: The training is in progress.
- Failed: the model failed to train.
- Description: Specifies the description of the predictor.
- Last Modified Time: Specifies the latest date and time when the text classification model was trained.
- Accuracy: Specifies the accuracy value of the trained model. The value is between 0 and 1. Higher value indicates higher confidence in the prediction. Accuracy helps choose the correct model.
- Actions: Use the Actions column for performing the following operations:
- Delete:
To delete the uploaded dataset.
- Download:
To download the uploaded dataset.
- Predict:
To predict a set of content or files.