The Predictive Model Markup Language (PMML) was proposed for standard language for expressing predictive models. The enhancement of predictive web analytics calculates statistical probabilities of future events online. Statistical learning theory deals with the problem of finding a predictive function based on data. Cross-validation is a statistical method for validating a predictive model. Regression models are the mainstay of predictive analytics. Serum VEGF-D concentration is useful, predictive and prognostic biomarker. Proper application of predictive analytics can lead to a more proactive retention strategy. Statistical controls for parental SES eliminate about a quarter of this predictive power. Vantage provides access to descriptive, predictive and prescriptive analytics to enable autonomous decision making. Concurrent validity may be used as a practical substitute for predictive validity. The Strong Interest Inventory is high in both predictive and concurrent validity. These advances go on including Crop and Soil Monitoring, Agricultural Robots, and Predictive Analytics. In OPLS, continuous variable data is separated into predictive and uncorrelated information. Cross-validation can be used to compare the performances of different predictive modeling procedures. Development methods exist on a continuum from "adaptive" to "predictive".