Challenge: Solving Task Using Stacking Classifier
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The 'blood-transfusion-service-center' dataset is a dataset that contains information related to blood donation. It's often used as a binary classification task to predict whether a blood donor will donate blood again. The dataset includes several features that provide insights into the donor's history and characteristics.
Your task is to solve a classification task using the 'blood-transfusion-service-center' dataset:
- Use 3 different
LogisticRegressionmodels as base models. Each model must have different regularization parameters:0.1,1, and10, respectively. - Use
MLPClassifieras meta-model of an ensemble. - Create a
base_modelslist containing all base models of the ensemble. - Finally, create a
StackingClassifiermodel with specified base models and meta-model.
Solución
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Completion rate improved to 4.55Challenge: Solving Task Using Stacking Classifier
Swipe to start coding
The 'blood-transfusion-service-center' dataset is a dataset that contains information related to blood donation. It's often used as a binary classification task to predict whether a blood donor will donate blood again. The dataset includes several features that provide insights into the donor's history and characteristics.
Your task is to solve a classification task using the 'blood-transfusion-service-center' dataset:
- Use 3 different
LogisticRegressionmodels as base models. Each model must have different regularization parameters:0.1,1, and10, respectively. - Use
MLPClassifieras meta-model of an ensemble. - Create a
base_modelslist containing all base models of the ensemble. - Finally, create a
StackingClassifiermodel with specified base models and meta-model.
Solución
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
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Completion rate improved to 4.55Challenge: Solving Task Using Stacking Classifier
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The 'blood-transfusion-service-center' dataset is a dataset that contains information related to blood donation. It's often used as a binary classification task to predict whether a blood donor will donate blood again. The dataset includes several features that provide insights into the donor's history and characteristics.
Your task is to solve a classification task using the 'blood-transfusion-service-center' dataset:
- Use 3 different
LogisticRegressionmodels as base models. Each model must have different regularization parameters:0.1,1, and10, respectively. - Use
MLPClassifieras meta-model of an ensemble. - Create a
base_modelslist containing all base models of the ensemble. - Finally, create a
StackingClassifiermodel with specified base models and meta-model.
Solución
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
