Lesson 5 of 8Article20 min
Classification Models
Classification Models
Classification tasks
- Spam detection, fraud screening, churn prediction.
- Binary, multiclass, and multilabel formulations.
- Threshold choice affects precision/recall trade-offs.
Logistic regression classifier
Train and probability thresholding
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import classification_report
clf = LogisticRegression(max_iter=1000)
clf.fit(X_train, y_train)
proba = clf.predict_proba(X_test)[:, 1]
pred = (proba >= 0.6).astype(int) # custom threshold
print(classification_report(y_test, pred))