Web Reference: In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Oct 4, 2025 · Multi-Layer Perceptrons (MLPs) are a type of neural network commonly used for classification tasks where the relationship between features and target labels is non-linear. They are particularly effective when traditional linear models are insufficient to capture complex patterns in data. This example showcases how to quickly set up and use an MLPClassifier model for multi-class classification tasks in scikit-learn. The model can learn complex non-linear relationships and provide accurate predictions with minimal setup.
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