Classification

Classification

Data classification is the process of tagging and organizing data according to relevant categories. This makes the data secure and searchable. This makes the data easy to locate and retrieve when needed.
Data classification can be content-based, context-based, or user-based.
In rubiscape, the Classification algorithms are present in Machine Learning as well as Textual analysis

The Classification algorithms in Machine Learning are shown below.


In the task pane, click Machine learning, and then click Classification.

For more information, refer to Classification Algorithms in Machine Learning.

The Classification algorithms in Textual analysis are shown below.


In the task pane, click Textual analysis, and then click Classification.

For more information, refer to Classification Algorithms in textual analysis

    • Related Articles

    • Classification

      Classification is the process of predicting the class of given data points. Classes are referred to as targets/ labels or categories. Classification predictive modeling is the task of approximating a mapping function (f) from input variables (X) to ...
    • Textual Classification

      Classification is the process of predicting the class of given data points. Classes are referred to as targets/ labels or categories. Classification belongs to the category of supervised learning. There are two types of learning techniques in ...
    • Extreme Gradient Boost Classification

      Extreme Gradient Boost Classification Description Extreme Gradient Boost (XGBoost) is a Decision Tree-based ensemble algorithm. XGBoost uses a gradient boosting framework. It approaches the process of sequential tree building using parallelized ...
    • AdaBoost in Classification

      AdaBoost in Classification Description AdaBoost is a technique in Machine Learning used as an Ensemble Method. AdaBoost is a boosting algorithm that combines the predictions of multiple weak classifiers to create a strong classifier. Why to use ...
    • Gradient Boosting in Classification

      Gradient Boosting in Classification Description Gradient boosting is a machine learning algorithm. It is a learning method that combines multiple predictive models like decision tree to create a strong predictive model. Why use High Predictive ...