Other Classification Models
K-Nearest Neighbors
How it Works?
from sklearn.neighbors import KNeighborsClassifier
classifier = KNeighborsClassifier(n_neighbors = 5, metric = 'minkowski', p = 2)
classifier.fit(X_train, y_train)
# Predicting the Test set results
y_pred = classifier.predict(X_test)Naive Bayes Algorithm
Bayes Theorem
Algorithm
#1 Prior Probability
#2 Marginal Likehood
#3 Likehood
#4 Posterior Probability
from sklearn.naive_bayes import GaussianNB
classifier = GaussianNB()
classifier.fit(X_train,y_train)
y_pred = classifier.predict(X_test)Logistic Regression
Accuracy: 89%
KNN
Accuracy: 93%
Naive Bayes
Accuracy: 90%
classification
By Germán Grandas
