OneMain Financial Machine Learning Interview Questions
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Handle Missing Values and Outliers in Machine Learning
Technical Screening: Model Development Discussion Context You are building classification and regression models on tabular business data with missing ...
Explain decision trees and tree ensembles
Prompt 1. Explain how a decision tree works for classification or regression. 2. How does the tree choose a split (objective functions for classificat...
Choose evaluation metrics for imbalanced risk model
Cost-Sensitive Fraud Detection: Thresholding, Metrics, and Calibration Assume a binary fraud classifier outputs calibrated probabilities p = P(y=1|x)....
Handle missing data and outliers robustly
Customer Churn Modeling: Preprocessing, Missingness, Outliers, and Evaluation Context You are building a binary churn model for a consumer subscriptio...
Select and tune XGBoost hyperparameters
Binary Classification Under Compute and Imbalance Constraints Context You are training an XGBoost model for a binary classification problem with: - 1,...