KNN అల్గోరిథం తెలుగులో: సులభంగా నేర్చుకోండి 🤖

#KNN #knnalgorithm #machinelearningalgorithm import numpy as np import pandas as pd from matplotlib import pyplot as plt from sklearn.datasets import load_breast_cancer from sklearn.metrics import confusion_matrix from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split import seaborn as sns sns.set() breast_cancer = load_breast_cancer() X = pd.DataFrame(breast_cancer.data, columns=breast_cancer.feature_names) X = X[['mean area', 'mean compactness']] y = pd.Categorical.from_codes(breast_cancer.target, breast_cancer.target_names) y = pd.get_dummies(y, drop_first=True) X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1) y_pred = knn.predict(X_test) sns.scatterplot( x='mean area', y='mean compactness', hue='benign', data=X_test.join(y_test, how='outer') ) plt.scatter( X_test['mean area'], X_test['mean compactness'], c=y_pred, cmap='coolwarm', alpha=0.7 ) confusion_matrix(y_test, y_pred)