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[0])
# 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)
it output
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.