Multitude of classification and regression algorithms facilitate supervised learning Broad array of cluster, similarity and segmentation algorithms support unsupervised learning Seamless integration of R and Python scripts into workflows provide further extensibility Confidently Evaluate Performance Accurately estimate model performance and confidently validate your results. Statistical overviews, graphs & charts for data exploration Powerful functionality for advanced feature weighting, selection & generation Anomaly & outlier detection, missing value handling and normalization techniques expertly prepares data Develop Models Quickly Hundreds of machine learning, text analytics, predictive modeling algorithims, automation, and process control features help you build better models faster than ever before.
2 Data Sheet 2 Accelerate Data Prep RapidMiner Studio provides a wealth of functionality to speed & optimize data exploration, blending & cleansing tasks reducing the time spent importing and wrangling your data.