Search results for "rapidminer"

Constructing user defined linear regressio... (1)

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This process shows how one can construct a user defined Linear Regression model using the execute script operator

Created: 2010-09-02 | Last updated: 2010-09-02

111 (1)

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This process shows how several different classifiers could be graphically compared by means of multiple ROC curves.

Created: 2010-09-04 | Last updated: 2010-09-04

222 (1)

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This process shows how several different classifiers could be graphically compared by means of multiple ROC curves.

Created: 2010-09-04

11111 (1)

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Reads collections of text from a set of directories, assigning each directory to a class (as specified by parameter text_directories), and transforms them into a TF-IDF or other word vector. Finally, an SVM is applied to model the input texts.

Created: 2010-09-04

Defining positive class with Remap Binominal (1)

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This process shows how one can use the Remap Binominal operator to define which label value is treated as the positive class.

Created: 2010-05-11

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

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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)

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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)

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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)

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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)

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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