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.

[Task information of LogisticRegression]

Python Package

LogisticRegression: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.htmlarrow-up-right

LogisticRegressionCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.htmlarrow-up-right

PassiveAggressiveClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.htmlarrow-up-right

Perceptron: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.htmlarrow-up-right

RidgeClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.htmlarrow-up-right

RidgeClassifierCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.htmlarrow-up-right

SGDClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.htmlarrow-up-right

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