Linear classifiers

LogisticRegression/LogisticRegressionCV/PassiveAggressiveClassifier/Perceptron/RidgeClassifier/RidgeClassifierCV/SGDClassifier

Common

Input Data

Inputs

*Target Data

Data Input

*Model Name

Name of the user-defined linear model

Predict Output

If not empty, the model will additionally make prediction on Target Data and store

the result here.

Merge Data

Predict Output will be created with predicted labels concatenated to Merge Data.

*x (numeric)

User-selected columns to be x.

  • One or more columns should be selected.

*y (numeric)

User-selected columns to be y.

  • Only one column should be selected.

Python Package

LogisticRegression: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html

LogisticRegressionCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html

PassiveAggressiveClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html

Perceptron: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html

RidgeClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html

RidgeClassifierCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.html

SGDClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html

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