Analisis K-Means Clustering
Segmentasi pemegang polis asuransi menjadi 3 cluster berdasarkan profil risiko
Distribusi Cluster
Profil Setiap Cluster
Cluster 0
517 data
$8,087
Avg Charges
39.1
Avg Age
30.8
Avg BMI
0.0%
Perokok
✔ Risiko Rendah
Cluster 1
547 data
$8,762
Avg Charges
39.7
Avg Age
30.5
Avg BMI
0.0%
Perokok
✔ Risiko Rendah
Cluster 2
274 data
$32,050
Avg Charges
38.5
Avg Age
30.7
Avg BMI
100.0%
Perokok
⚠ Risiko Tinggi
Visualisasi Cluster
Perbandingan Metrik Cluster
Interpretasi Cluster
Cluster 0: "Non-Perokok Sehat"
517 individu | Avg Charges: $8,087 | 0.0% perokok | Avg BMI: 30.8
Cluster 1: "Non-Perokok Sehat"
547 individu | Avg Charges: $8,762 | 0.0% perokok | Avg BMI: 30.5
Cluster 2: "Perokok Berisiko Tinggi"
274 individu | Avg Charges: $32,050 | 100.0% perokok | Avg BMI: 30.7