Challenge: Solving Task Using Regularisation
Swipe to start coding
Your task is to create a classification model using L2 regularization on the breast_cancer
dataset. It contains features computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. The task associated with this dataset is to classify the breast mass as malignant (cancerous) or benign (non-cancerous) based on the extracted features.
Your task is to:
- Specify argument at the
LogisticRegression()
constructor:- specify
penalty
argument equal tol2
; - specify
C
argument equal to1
.
- specify
- Fit regularized model on the training data.
Lösung
Danke für Ihr Feedback!
single
Fragen Sie AI
Fragen Sie AI
Fragen Sie alles oder probieren Sie eine der vorgeschlagenen Fragen, um unser Gespräch zu beginnen
Awesome!
Completion rate improved to 6.67
Challenge: Solving Task Using Regularisation
Swipe um das Menü anzuzeigen
Swipe to start coding
Your task is to create a classification model using L2 regularization on the breast_cancer
dataset. It contains features computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. The task associated with this dataset is to classify the breast mass as malignant (cancerous) or benign (non-cancerous) based on the extracted features.
Your task is to:
- Specify argument at the
LogisticRegression()
constructor:- specify
penalty
argument equal tol2
; - specify
C
argument equal to1
.
- specify
- Fit regularized model on the training data.
Lösung
Danke für Ihr Feedback!
Awesome!
Completion rate improved to 6.67single