I am assigned this task where I have a dataset with several columns of the form .. .

`       D1_16  D1_17  D1_18  D1_19  D1_20  D1_23  D1_24  D1_25  D1_26  D1_27  
1          1      1      1      1      1      1      1      1      1      1   
2          1      1      1      1      1      0      1      0      1      1   
3          0      0      0      0      0      0      0      0      0      0   
4          0      1      0      1      0      0      1      1      1      0   
5          0      0      0      0      0      0      0      0      0      0   
...      ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   
29502      0      0      0      0      0      0      0      0      0      0   
29504      0      0      0      0      0      0      0      0      0      0   
29505      0      0      0      0      0      0      0      0      0      0   
29506      0      0      0      0      0      0      0      0      0      0   
29507      0      0      0      0      0      0      0      0      0      0   

       ...  D68_29  D68_30  D68_31  D68_32  D68_33  D68_34  D68_35  D68_36  
1      ...       0       0       1       0       0       0       0       0   
2      ...       0       0       0       0       0       1       0       0   
3      ...       0       0       0       0       0       0       0       0   
4      ...       0       0       0       0       0       0       0       0   
5      ...       0       0       0       0       0       0       0       0   
...    ...     ...     ...     ...     ...     ...     ...     ...     ...   
29502  ...       0       0       0       0       0       0       0       0   
29504  ...       0       0       0       0       0       0       0       0   
29505  ...       0       0       0       0       0       0       0       0   
29506  ...       0       0       0       0       0       0       0       0   
29507  ...       0       0       0       0       0       0       0       1  ` 

Task assignment:
The classification took place according to the class, which was definitely unsupervised (there are 5 classes for help).

Do I understand correctly that it is first necessary to do clustering, for example according to k-means and choose a suitable class on the basis of which I will divide the data into 2 parts and mark “1” and “0” and then perform classification on trees, for example? Or you need to perform clustering differently. I honestly don’t really understand what is being asked of me, I will be grateful for any idea.

My program:

best_score = -1
best_k = 0

for k in range(2, 10):
    kmeans = KMeans(n_clusters=k)
    kmeans.fit(df)
    silhouette_avg = silhouette_score(df, kmeans.labels_)
    

    if silhouette_avg > best_score:
        best_score = silhouette_avg
        best_k = k

kmeans = KMeans(n_clusters=best_k)
kmeans.fit(df)
df['cluster'] = kmeans.labels_

best_cluster = np.argmax(np.bincount(kmeans.labels_))
df['target'] = np.where(df['cluster'] == best_cluster, 0, 1)

X_train, X_test, y_train, y_test = train_test_split(df.drop(['cluster', 'target'], axis=1), df['target'], test_size=0.2, random_state=42)

clf = DecisionTreeClassifier()
clf.fit(X_train, y_train)

y_pred = clf.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)

Dataset: https://filetransfer.io/data-package/Aiawe648#link
My all program: https://onecompiler.com/python/42cxfy2vz

Advice on clustering and classification