Hi, so I am currently doing the “Cancer Classification” Project. however, I want to do it off-the platform by using anaconda. however, when I try running this code(don’t mind the code, its not finish yet):
import codecademylib3_seaborn from sklearn.datasets import load_breast_cancer from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier breast_cancer_data = load_breast_cancer() # print(breast_cancer_data.data) # print(breast_cancer_data.feature_names) # print(breast_cancer_data.target) # print(breast_cancer_data.target_names) training_data, validation_data, training_labels, validation_labels = train_test_split(breast_cancer_data.data, breast_cancer_data.target, test_size=0.2, random_state=100) # print(len(training_data)) # print(len(training_labels)) classifier = KNeighborsClassifier(n_neighbors=3)
The kernel appears to have died. It will restart automatically.
I have tried to restart the kernel and clear all output, but it keeps getting me an error.