Data Analysis

Machine Learning for Predictive Analytics

New features include:

• PCA (Principal Component Analysis) algorithm for use in dimension reduction.
• SVD (Singular Value Decomposition) algorithm that is used to calculate principal components for a data set.
• New function PRC (precision recall curve) measures the success of a prediction when classes are imbalanced.
• Extended functionality for the ROC function so that it can now pass an area under the curve parameter.

For more information, see Machine Learning for Predictive Analytics.