Workflows

Setting an attribute value in a specific E... (1)

• Download

This process will first generate an artificial dataset and tag it with ids. Then a Filter Examples Operator is used to get a dataset with exactly one example identified by it's id. Then a value is set in this example. Since the change in the data will be reflected in all views of the example set, a simply copy is passed by to the process' output. If you take a look at the attributes of the example with id 5, you will find the 12 there.

Created: 2010-05-14

Pivoting (1)

• Download

This process shows the basics of Pivoting. A data set with three columns is loaded and partially generated. Afterwards, the data is rotated and missings are replaced by zero.

Created: 2010-05-15

Convert Nominal to Binominal to Numerical (1)

• Download

This is a standard preprocessing subprocess taking nominal (categorical) attributes and introduces binominal dummy attributes before those are transformed to numerical which can be then used by learning schemes like SVM or Logistic Regression.

Created: 2010-05-15

Discard Attribute with More than x% Missin... (1)

• Download

This process loops over all attributes and calculates the fraction of missings for each attribute. If this fration is larger than the fraction defined in the first "Set Macro" operator (macro: max_unknown), the attribute will be removed from the example set.

Created: 2010-05-15

Write/Store Correlation Matrix to an Excel... (1)

• Download

This process demonstrates how to write/store/export the correlation matrix of the "Correlation Matrix" operator to an Excel file. One need to generate a Report with the "Generate Report" operator and export the Report to an Excel file.

Created: 2010-05-19

Apply Same Preprocessing to Learning and V... (1)

• Download

This process demonstrates how to apply the same prepossessing work flow to learning data and test/validation data. Due to overview reasons the preprocessing is hidden in a Preprocessing subprocess. To perform the same preprocessing work flow on the learning and testing data, both are collected to a Collection of Data. Then the "Loop Collection" operator loops over each collection. The actual preprocessing is done inside the "Loop Collection" operator. In the example only a "Rename" is done...

Created: 2010-05-19

Filter Wrong Predicted/Classified Samples (1)

• Download

This process demonstrates how to filter validation samples which are predicted incorrectly. Thee key operator is "Filter Examples" that is set up to "wrong_predictions"

Created: 2010-05-19 | Last updated: 2010-06-08

Exclude a Attribute/Variable (1)

• Download

This simple process demonstrates how to exclude a attribute or set of attributes from an example set/data set. In particular the first "Select Attributes" filter excludes the Outlook attribute. The second filter excludes subset {Outlook, Humidity}.

Created: 2010-05-20

Missing value count (1)

• Download

This workflow enables users to filter examples by the number of missing values they contains; it inserts the numeric attribute 'Missings' - representing, for each example, the count of attributes with missing values.

Created: 2010-05-27 | Last updated: 2010-07-13

Linear Regression of Italian bookshops se... (1)

• Download

Someone could help me? Why the correlation between the actual value and the predictive value of the attribute "Quantita" is so low?

Created: 2010-05-28