Two-stage clustering before linear regression or an additive model improves German house-price prediction accuracy relative to global models on the 2023 RED dataset, though the reported improvement percentages are internally inconsistent.
(2019), ‘Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead’,Nature machine intelligence1(5), 206–
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions
Two-stage clustering before linear regression or an additive model improves German house-price prediction accuracy relative to global models on the 2023 RED dataset, though the reported improvement percentages are internally inconsistent.