KNN (K-Nearest Neighbor) Algorithm in Telugu

#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)