Can Computers Predict Divorce? A Look at Love and Algorithms
The Impact of Divorce
Divorce is a significant issue, affecting not just individuals but society as a whole. In the United States, approximately half of all marriages end in divorce or separation. While divorce may not halt daily life, it can profoundly impact mental health and personal happiness.
Machine Learning and Divorce Prediction
Researchers have turned to machine learning to predict divorce using the 'divorce predictor dataset'. They trained six algorithms:
- Logistic Regression
- Linear Discriminant Analysis (LDA)
- K-Nearest Neighbors (KNN)
- Classification and Regression Trees (CART)
- Gaussian Naïve Bayes (GNB)
- Support Vector Machines (SVM)
The results were striking, with algorithms like SVM, KNN, and LDA achieving an accuracy of 98.57% in predicting divorce.
Understanding the Predictions
To interpret these complex models, researchers used LIME (Local Interpretable Model-Agnostic Explanations). LIME highlights the key factors influencing divorce predictions, making the results more understandable.
The Divorce Predictor App
The researchers developed a divorce predictor app based on the ten most critical features affecting divorce decisions. This tool allows users to assess their relationship's health.
The Pros and Cons
While predicting divorce can help couples gain insight into their relationship, it's essential to recognize that algorithms are not infallible. They may make errors and cannot fully grasp the intricacies of human emotions.
Moreover, relying too heavily on an app for relationship advice might shift focus away from genuine emotions and conversations. Balancing technology with real-life interactions is crucial.
