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When does overfitting decrease prediction accuracy in induced decision trees and rule sets?

https://doi.org/10.1007/bfb0017014
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50044-8openalex-snapshot
Induction of Decision Trees from Inconclusive Data
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Overfitting Avoidance as Bias
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Machine Learning — EWSL-91
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Structure-driven evaluation of GBDT and neural networks for Geo-Tabular landslide hazard assessment on the Tibetan plateau
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Theory and practice of decision tree induction
inferred← citeshttps://doi.org/10.1016/0377-2217(94)90030-2openalex-snapshot
An investigation on the conditions of pruning an induced decision tree
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Deconstructing the Digit Recognition Problem
inferred← citeshttps://doi.org/10.1016/j.asoc.2009.12.035openalex-snapshot
Efficient Distributed Genetic Algorithm for Rule extraction
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Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.07.012openalex-snapshot
Measuring the Shattering coefficient of Decision Tree models
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A review of machine learning
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Discussion of “Modeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India” by Chandrra Sekar, C. S. P. Ojha, B. R. Gurjar, and Manish Kumar Goyal
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Missense mutation knowledge can decrease prediction inaccuracies on protein secondary structure
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The low prediction accuracy problem in learning
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Efficient Distributed Genetic Algorithm for Rule Extraction
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CoCoST: A Computational Cost Efficient Classifier
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Multi-Armed Bandits-Based Optimization of Decision Trees
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Series in Machine Perception and Artificial Intelligence
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MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph
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