Plot sum of squared errors

Now you will plot the sum of squared errors for each value of k and identify if there is an elbow. This will guide you towards the recommended number of clusters to use.

The sum of squared errors is loaded as a dictionary called sse from the previous exercise. matplotlib.pyplot was loaded as plt, and seaborn as sns.

You can explore the dictionary in the console.

Latihan ini adalah bagian dari kursus

Customer Segmentation in Python

Lihat Kursus

Petunjuk latihan

Add the plot title "The Elbow Method".
Add the X-axis label "k".
Add the Y-axis label "SSE".
Plot SSE values for each k stored as keys in the dictionary.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Add the plot title "The Elbow Method"
plt.____('The Elbow Method')

# Add X-axis label "k"
plt.____('____')

# Add Y-axis label "SSE"
plt.____('____')

# Plot SSE values for each key in the dictionary
sns.____(x=list(sse.____()), y=list(sse.____()))
plt.show()

Edit dan Jalankan Kode