A.Maximum Failure Allowed

B.Maximum Number of Runs

C.Minimum Failure Allowed

D.Timeout in Minutes

A.building a machine learning model

B.performing feature engineering, such as creating derived variables

C.data collection from various sources

D.missing value replacement

E.numeric data normalization

F.binning of numeric data

A.They assign cases to target categories.

B.They extract rules using unsupervised learning.

C.They predict numeric values along a continuum.

D.They require known outcomes to guide the learning process.

A.Create other OML users.

B.Transfer OML workspace to other users.

C.Share notebooks.

D.Edit Example templates.

E.Create and run scratchpads.

F.Create and run OML notebooks.

A.It provides a collaborative web-based notebook interface.

B.It is deployed with Oracle Data Miner.

C.It includes parallelized in-database algorithms.

D.It provides a development environment to build models and score data.

E.It provides an interface to monitor a database.

F.It enables data analytics, data discovery, and data visualizations.