Drop the $$origin$$ variable from AutoMPG and apply k$-$means, hierarchical clustering, and DBSCAN to the modified AutoMPG. Do the clustering results match the origin?

As for the question, the result as the following:

K$-$Means Clustering Comparison:

col$\_0012$

origin

$1719579$

$258010$

$37405$

Hierarchical Clustering Comparison:

col$\_0123$

origin

$1997076$

$20365$

$30376$

DBSCAN Clustering Comparison:

col$\_0-10$

origin

$13242$

$2068$

$3079$

$(1)$Can you tell me do the clustering results match the origin?

$(2)$And please compare and discuss the results with the results from the supervised learning methods as the following:

Results for Logistic Regression:

Accuracy: $0\mathrm{.}7373$

Sensitivity $($Macro Avg.$)$: $0\mathrm{.}6578$

Specificity $($Macro Avg.$)$: $0\mathrm{.}6684$

Precision $($Macro Avg.$)$: $0\mathrm{.}6684$

Confusion Matrix:

$[[6035]$

$[5149]$

$[5413]]$

Results for K$-$Nearest Neighbors:

Accuracy: $0\mathrm{.}6441$

Sensitivity $($Macro Avg.$)$: $0\mathrm{.}5203$

Specificity $($Macro Avg.$)$: $0\mathrm{.}5299$

Precision $($Macro Avg.$)$: $0\mathrm{.}5299$

Confusion Matrix:

$[[6044]$

$[12511]$

$[8311]]$

Results for Support Vector Machine:

Accuracy: $0\mathrm{.}7119$

Sensitivity $($Macro Avg.$)$: $0\mathrm{.}6360$

Specificity $($Macro Avg.$)$: $0\mathrm{.}6342$

Precision $($Macro Avg.$)$: $0\mathrm{.}6342$

Confusion Matrix:

$[[5846]$

$[31312]$

$[4513]]$