最新的IBM SPSS Modeler Professional v3 - C2090-930免費考試真題

A. Data Preparation

B. Evaluation

C. Business Understanding

D. Data Understanding

A. Assemble similar data across data sets by using a primary key.

B. Separate an individual data field into a predefined number of equal-sized groups according to the field values.

C. Group data using one or more fields to produce subsets with similar attributes.

D. Separate a data set into two equal partitions in preparation for continued analysis.

A. Adjusted R-Squared is not a measure for Goodness-of-Fit.

B. The calculation of the predictor importance is based on Regression Sum-of-Squares.

C. Methods for variable entry and removal are Enter Stepwise, Forward, and Backward.

D. The estimation method of coefficient is ordinary least squares.

A. To evaluate the ability of models to generate accurate predictions and perform comparisons between predicted values and actual values for models

B. To shrink the data stream by grouping several nodes into one node so that streams are neater and more manageable

C. To summarize data outliers, extremes, and missing values within the data set and offers tools for handling these values

D. To merge multiple input data sources into one large combined data set for streamlined data processing and summary statistics

A. Statistics, 1_Training

B. Analysis, 2_Testing

C. Analysis, 1_Training

D. Statistics, 2_Testing

A. Bayesian Network

B. Decision List

C. Neural Net

D. Discriminant