IBM SPSS MODELER EXAM QUESTIONS AND ANSWERS
WITH COMPLETE SOLUTIONS GRADED A++ LATEST
UPDATE
Binning node
it automatically creates new nominal (set) fields based on the values of one or more
existing continuous (numeric range) fields.
Extensions Hub
it is an interface for searching for, downloading, and installing extensions from the IBM
SPSS Predictive Analytics collection on GitHub
Simulation Generate node
it provides an easy way to generate simulated data—either from scratch using user-
specified statistical distributions or automatically using the distributions obtained from
running a Simulation Fitting node on existing historical data. This is useful when you
want to evaluate the outcome of a predictive model in the presence of uncertainty in the
model inputs.
Analysis node
it evaluates predictive models' ability to generate accurate predictions. Analysis nodes
perform various comparisons between predicted values and actual values for one or
more model nuggets. They can also compare predictive models to each other.
,Flat File Export Node
Simulation Evaluation node
it can evaluate a specified predicted target field and presents distribution and correlation
information about the target field.
Geospatial source node
can bring a map or spatial data into your data mining session.
Multiplot Node
is a special type of plot that displays multiple Y fields over a single X field. The Y fields
are plotted as colored lines and each is equivalent to a Plot node with Style set to Line
and X Mode set to Sort. Multi pots are useful when you have time sequence data and
want to explore the fluctuation of several variables over time.
Histogram node
it will show the occurrence of values for numeric fields. It is often used to explore the
data before manipulations and model building. Similar to the Distribution node, the
frequently reveals imbalances in the data.
Screening Predictors
it helps you to identify the fields that are most important in predicting a certain outcome.
ranks, and selects the predictors that may be most important. Ultimately, you may end
up with a quicker, more efficient model—one that uses fewer predictors, executes more
quickly, and may be easier to understand.
Plot node
it can show the relationship between numeric fields. You can create it by using points (a
scatterplot) or lines.
, Derive Node
modifies data values or creates new fields from one or more existing fields. It creates
fields of type formula, flag, nominal, state, count, and conditional.
Reclassify node
it transforms one set of categorical values to another. Reclassification is useful for
collapsing categories or regrouping data for analysis.
Flag node
it derives multiple flag fields based on the categorical values defined for one or more
nominal fields
Restructure node
it converts a nominal or flag field into a group of fields that can be populated with the
values of yet another field.
Time Series node.
it runs with either embedded or remote IBM SPSS Analytic Server to process big data
and display the resulting model in the output viewer.
IBM SPSS Modeler
you can build accurate predictive models quickly and intuitively, without programming.
Using the unique visual interface, in short, you can easily visualize the data mining
process.
SPSS Modeler Server
it is a separately-licensed product that runs continually in distributed analysis mode on a
server host in conjunction with one or more IBM® SPSS Modeler installations.
Modeling methods are divided into four categories:
WITH COMPLETE SOLUTIONS GRADED A++ LATEST
UPDATE
Binning node
it automatically creates new nominal (set) fields based on the values of one or more
existing continuous (numeric range) fields.
Extensions Hub
it is an interface for searching for, downloading, and installing extensions from the IBM
SPSS Predictive Analytics collection on GitHub
Simulation Generate node
it provides an easy way to generate simulated data—either from scratch using user-
specified statistical distributions or automatically using the distributions obtained from
running a Simulation Fitting node on existing historical data. This is useful when you
want to evaluate the outcome of a predictive model in the presence of uncertainty in the
model inputs.
Analysis node
it evaluates predictive models' ability to generate accurate predictions. Analysis nodes
perform various comparisons between predicted values and actual values for one or
more model nuggets. They can also compare predictive models to each other.
,Flat File Export Node
Simulation Evaluation node
it can evaluate a specified predicted target field and presents distribution and correlation
information about the target field.
Geospatial source node
can bring a map or spatial data into your data mining session.
Multiplot Node
is a special type of plot that displays multiple Y fields over a single X field. The Y fields
are plotted as colored lines and each is equivalent to a Plot node with Style set to Line
and X Mode set to Sort. Multi pots are useful when you have time sequence data and
want to explore the fluctuation of several variables over time.
Histogram node
it will show the occurrence of values for numeric fields. It is often used to explore the
data before manipulations and model building. Similar to the Distribution node, the
frequently reveals imbalances in the data.
Screening Predictors
it helps you to identify the fields that are most important in predicting a certain outcome.
ranks, and selects the predictors that may be most important. Ultimately, you may end
up with a quicker, more efficient model—one that uses fewer predictors, executes more
quickly, and may be easier to understand.
Plot node
it can show the relationship between numeric fields. You can create it by using points (a
scatterplot) or lines.
, Derive Node
modifies data values or creates new fields from one or more existing fields. It creates
fields of type formula, flag, nominal, state, count, and conditional.
Reclassify node
it transforms one set of categorical values to another. Reclassification is useful for
collapsing categories or regrouping data for analysis.
Flag node
it derives multiple flag fields based on the categorical values defined for one or more
nominal fields
Restructure node
it converts a nominal or flag field into a group of fields that can be populated with the
values of yet another field.
Time Series node.
it runs with either embedded or remote IBM SPSS Analytic Server to process big data
and display the resulting model in the output viewer.
IBM SPSS Modeler
you can build accurate predictive models quickly and intuitively, without programming.
Using the unique visual interface, in short, you can easily visualize the data mining
process.
SPSS Modeler Server
it is a separately-licensed product that runs continually in distributed analysis mode on a
server host in conjunction with one or more IBM® SPSS Modeler installations.
Modeling methods are divided into four categories:
