RapidMiner Pricing & Demo

• Guided Data Prep- It enables us to automatically analyze data to identify common quality problems like correlations, missing values, and stability.
• Automated Model Selection & Tuning- Offers automated hyperparameter tuning to find the best parameters for the model. Supports Native Bayes, Generalized Linear Model, Logistic Regression, Deep Learning, Decision Tree, Random Forest, Gradient Boosted Trees (XGBoost), Support Vector Machines, and kMeans Clustering.
• Automatic Feature Engineering- Provides Unique Evolutionary Feature Selection that lets users choose between accurate, simple, and balanced models. Automatically generate new features from data to improve model accuracy

Pricing:

RapidMiner pricing is not available to the public. Pricing details can be accessed by contacting RapidMiner through its website.

Demo:

To check out the features of the product through a free demo, contact RapidMiner through its website for further details.