| \n"," | 0 | \n","
|---|---|
| customer_unique_id | \n","object | \n","
| customer_lat | \n","float64 | \n","
| customer_lng | \n","float64 | \n","
| orders_number | \n","int64 | \n","
| first_purchase_date | \n","datetime64[ns] | \n","
| last_purchase_date | \n","datetime64[ns] | \n","
| recency | \n","int64 | \n","
| frequency | \n","float64 | \n","
| avg_spent | \n","float64 | \n","
| total_spent | \n","float64 | \n","
| preferred_payment_type | \n","object | \n","
| avg_payment_sequential | \n","float64 | \n","
| avg_payment_installments | \n","float64 | \n","
| shipping_fees_proportion | \n","float64 | \n","
| avg_customer_seller_distance_km | \n","float64 | \n","
| avg_delivery_time | \n","float64 | \n","
| preferred_category | \n","object | \n","
| avg_review_score | \n","float64 | \n","
| \n"," | Model | \n","Number of clusters | \n","Fit duration | \n","Silhouette score | \n","Davies Bouldin score | \n","Calinski Harabasz score | \n","
|---|---|---|---|---|---|---|
| 0 | \n","KMeans | \n","5 | \n","0.159433 | \n","0.485300 | \n","0.701625 | \n","64256.788592 | \n","
| 1 | \n","DBSCAN | \n","25 | \n","42.443354 | \n","0.307820 | \n","1.516279 | \n","1250.382417 | \n","
| 2 | \n","Birch | \n","5 | \n","2.336881 | \n","0.747196 | \n","0.487401 | \n","21310.430338 | \n","
| 3 | \n","BisectingKMeans | \n","5 | \n","0.229735 | \n","0.472995 | \n","1.275943 | \n","51252.822142 | \n","
| \n"," | Cluster_BisKMeans | \n","
|---|---|
| 0 | \n","0 | \n","
| 1 | \n","0 | \n","
| 2 | \n","2 | \n","
| 3 | \n","2 | \n","
| 4 | \n","2 | \n","
| ... | \n","... | \n","
| 93345 | \n","3 | \n","
| 93346 | \n","2 | \n","
| 93347 | \n","2 | \n","
| 93348 | \n","0 | \n","
| 93349 | \n","2 | \n","
93350 rows × 1 columns
\n","| \n"," | 3 | \n","
|---|---|
| Cluster_BisKMeans | \n","3 | \n","
| recency | \n","387.660927 | \n","
| \n"," | 4 | \n","
|---|---|
| Cluster_BisKMeans | \n","4 | \n","
| frequency | \n","115.714194 | \n","
| \n"," | 3 | \n","
|---|---|
| Cluster_BisKMeans | \n","3 | \n","
| total_spent | \n","1012.545245 | \n","
| \n"," | 1 | \n","
|---|---|
| Cluster_BisKMeans | \n","1 | \n","
| recency | \n","124.003191 | \n","
| \n"," | 2 | \n","
|---|---|
| Cluster_BisKMeans | \n","2 | \n","
| frequency | \n","0.217988 | \n","
| \n"," | 2 | \n","
|---|---|
| Cluster_BisKMeans | \n","2 | \n","
| total_spent | \n","131.067994 | \n","
| \n"," | Cluster_BisKMeans | \n","customer_unique_id | \n","orders_number | \n","first_purchase_date | \n","recency | \n","frequency | \n","avg_spent | \n","total_spent | \n","avg_payment_sequential | \n","avg_payment_installments | \n","shipping_fees_proportion | \n","avg_customer_seller_distance_km | \n","avg_delivery_time | \n","avg_review_score | \n","
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n","0 | \n","51473 | \n","1.020613 | \n","2018-04-22 | \n","128.024401 | \n","0.283427 | \n","129.617409 | \n","131.966553 | \n","1.037685 | \n","2.654891 | \n","21.405445 | \n","574.998650 | \n","11.683192 | \n","4.148755 | \n","
| 1 | \n","1 | \n","1880 | \n","1.097872 | \n","2018-04-24 | \n","124.003191 | \n","0.859824 | \n","971.518128 | \n","1004.941372 | \n","1.050120 | \n","5.998423 | \n","7.355790 | \n","792.975430 | \n","13.726893 | \n","3.942735 | \n","
| 2 | \n","2 | \n","37705 | \n","1.023472 | \n","2017-08-06 | \n","387.109137 | \n","0.217988 | \n","128.600812 | \n","131.067994 | \n","1.050984 | \n","2.957468 | \n","21.243295 | \n","616.841639 | \n","12.261864 | \n","4.169828 | \n","
| 3 | \n","3 | \n","1510 | \n","1.072185 | \n","2017-08-04 | \n","387.660927 | \n","0.591943 | \n","982.363870 | \n","1012.545245 | \n","1.046082 | \n","6.081512 | \n","6.846161 | \n","852.933074 | \n","14.362914 | \n","4.079187 | \n","
| 4 | \n","4 | \n","782 | \n","2.126598 | \n","2017-08-03 | \n","147.116368 | \n","115.714194 | \n","148.214635 | \n","317.194783 | \n","1.060742 | \n","3.485699 | \n","19.021916 | \n","561.621479 | \n","11.527920 | \n","4.342187 | \n","
| \n"," | Model | \n","Number of clusters | \n","Fit duration | \n","Silhouette score | \n","Davies Bouldin score | \n","Calinski Harabasz score | \n","
|---|---|---|---|---|---|---|
| 0 | \n","KMeans | \n","7 | \n","0.137554 | \n","0.402815 | \n","0.735652 | \n","37919.176628 | \n","
| 1 | \n","DBSCAN | \n","20 | \n","93.924027 | \n","0.400508 | \n","1.364770 | \n","1204.006166 | \n","
| 2 | \n","Birch | \n","7 | \n","2.853436 | \n","0.518219 | \n","0.669491 | \n","11867.704533 | \n","
| 3 | \n","BisectingKMeans | \n","7 | \n","0.209294 | \n","0.364994 | \n","1.073450 | \n","23783.438196 | \n","
| \n"," | Cluster_KMeans | \n","
|---|---|
| 0 | \n","4 | \n","
| 1 | \n","4 | \n","
| 2 | \n","0 | \n","
| 3 | \n","0 | \n","
| 4 | \n","0 | \n","
| ... | \n","... | \n","
| 93345 | \n","5 | \n","
| 93346 | \n","0 | \n","
| 93347 | \n","0 | \n","
| 93348 | \n","4 | \n","
| 93349 | \n","0 | \n","
93350 rows × 1 columns
\n","| \n"," | 0 | \n","
|---|---|
| Cluster_KMeans | \n","0 | \n","
| recency | \n","391.744523 | \n","
| \n"," | 1 | \n","
|---|---|
| Cluster_KMeans | \n","1 | \n","
| frequency | \n","117.183706 | \n","
| \n"," | 5 | \n","
|---|---|
| Cluster_KMeans | \n","5 | \n","
| total_spent | \n","1194.062755 | \n","
| \n"," | 4 | \n","
|---|---|
| Cluster_KMeans | \n","4 | \n","
| recency | \n","121.666675 | \n","
| \n"," | 2 | \n","
|---|---|
| Cluster_KMeans | \n","2 | \n","
| frequency | \n","0.22528 | \n","
| \n"," | 4 | \n","
|---|---|
| Cluster_KMeans | \n","4 | \n","
| total_spent | \n","134.501212 | \n","
| \n"," | Cluster_KMeans | \n","customer_unique_id | \n","orders_number | \n","first_purchase_date | \n","last_purchase_date | \n","recency | \n","frequency | \n","avg_spent | \n","total_spent | \n","preferred_payment_type | \n","avg_payment_sequential | \n","avg_payment_installments | \n","shipping_fees_proportion | \n","avg_customer_seller_distance_km | \n","avg_delivery_time | \n","avg_review_score | \n","
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n","0 | \n","31267 | \n","1.024691 | \n","2017-08-01 | \n","2017-08-02 | \n","391.744523 | \n","0.243977 | \n","132.367820 | \n","135.131363 | \n","bank cards | \n","1.000235 | \n","2.993182 | \n","20.926665 | \n","609.561200 | \n","11.237612 | \n","4.634991 | \n","
| 1 | \n","1 | \n","761 | \n","2.120894 | \n","2017-08-01 | \n","2018-04-05 | \n","145.749014 | \n","117.183706 | \n","142.660640 | \n","304.341406 | \n","bank cards | \n","1.053876 | \n","3.483990 | \n","19.139577 | \n","565.896038 | \n","11.559965 | \n","4.349615 | \n","
| 2 | \n","2 | \n","15443 | \n","1.021434 | \n","2018-01-10 | \n","2018-01-11 | \n","229.646442 | \n","0.225280 | \n","149.635805 | \n","152.507624 | \n","bank cards | \n","1.000410 | \n","3.006808 | \n","21.667003 | \n","654.775441 | \n","18.238482 | \n","1.738235 | \n","
| 3 | \n","3 | \n","157 | \n","1.044586 | \n","2017-11-16 | \n","2017-11-19 | \n","283.038217 | \n","0.921444 | \n","176.405955 | \n","181.722102 | \n","voucher | \n","6.797240 | \n","1.292994 | \n","21.234617 | \n","539.840108 | \n","12.833333 | \n","4.109789 | \n","
| 4 | \n","4 | \n","40885 | \n","1.021915 | \n","2018-04-28 | \n","2018-04-29 | \n","121.666675 | \n","0.310157 | \n","131.920858 | \n","134.501212 | \n","bank cards | \n","1.000308 | \n","2.666630 | \n","21.108192 | \n","560.116893 | \n","10.124012 | \n","4.699748 | \n","
| 5 | \n","5 | \n","2265 | \n","1.095364 | \n","2018-01-01 | \n","2018-01-04 | \n","236.227373 | \n","0.924461 | \n","1154.247964 | \n","1194.062755 | \n","bank cards | \n","1.025670 | \n","6.134946 | \n","6.511457 | \n","806.569010 | \n","13.496943 | \n","4.099037 | \n","
| 6 | \n","6 | \n","2572 | \n","1.017496 | \n","2017-12-15 | \n","2017-12-15 | \n","256.389580 | \n","0.234578 | \n","137.103848 | \n","138.731186 | \n","bank cards | \n","2.181117 | \n","2.159927 | \n","22.258600 | \n","645.149020 | \n","12.397291 | \n","4.115518 | \n","