Kutukan dimensi

Pengurangan Dimensi dengan Python

Jeroen Boeye

Head of Machine Learning, Faktion

Dari observasi ke pola

Kota	Harga
Berlin	2
Paris	3

Kota	Harga
Berlin	2
Paris	3

plot distribusi sederhana

Distribusi Berlin vs. Paris

Pisahkan fitur target dari fitur untuk melatih model.

y = house_df['City']

X = house_df.drop('City', axis=1)

Lakukan pembagian data 70% train dan 30% test

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)

Buat Support Vector Machine Classifier dan latih pada data training

from sklearn.svm import SVC

svc = SVC()

svc.fit(X_train, y_train)

from sklearn.metrics import accuracy_score

print(accuracy_score(y_test, svc.predict(X_test)))

0.826

print(accuracy_score(y_train, svc.predict(X_train)))

0.832

Distribusi Berlin vs. Paris

Kota	Harga	n_floors	n_bathroom	surface_m2
Berlin	2.0	1	1	190
Berlin	3.1	2	1	187
Berlin	4.3	2	2	240
Paris	3.0	2	1	170
Paris	5.2	2	2	290
...	...	...	...	...

Pengurangan Dimensi dengan Python