The top documents tagged [modeltest set]

Data Mining: Concepts and Techniques (3 rd ed.) — Chapter 8 —
Documents Data Mining: Concepts and Techniques (3 rd ed.) — Chapter 8 —

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September 15, 2008Data Mining: Concepts and Techniques1 Chapter 6. Classification and Prediction What is classification? What is prediction? Classification
Documents September 15, 2008Data Mining: Concepts and Techniques1 Chapter 6. Classification and Prediction What is classification? What is prediction? Classification

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1 Data Mining: Concepts and Techniques Classification: Basic Concepts
Documents 1 Data Mining: Concepts and Techniques Classification: Basic Concepts

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November 6, 2015Data Mining: Concepts and Techniques1 Data Mining: Concepts and Techniques — Chapter 6 —
Documents November 6, 2015Data Mining: Concepts and Techniques1 Data Mining: Concepts and Techniques — Chapter 6 —

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1 1 Slide Classification. 2 2 Supervised vs. Unsupervised Learning n Supervised learning (classification) Supervision: The training data (observations,
Documents 1 1 Slide Classification. 2 2 Supervised vs. Unsupervised Learning n Supervised learning (classification) Supervision: The training data (observations,

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1 Categorization/Classification Given: –A description of an instance, x X, where X is the instance language or instance space. –A fixed set of classes:
Documents 1 Categorization/Classification Given: –A description of an instance, x X, where X is the instance language or instance space. –A fixed set of classes:

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12/22/2015Data Mining: Concepts and Techniques 1 Data Mining: Concepts and Techniques (3 rd ed.) — Chapter 8 — Jiawei Han, Micheline Kamber, and Jian Pei
Documents 12/22/2015Data Mining: Concepts and Techniques 1 Data Mining: Concepts and Techniques (3 rd ed.) — Chapter 8 — Jiawei Han, Micheline Kamber, and Jian Pei

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January 3, 2016Data Mining: Concepts and Techniques1 Data Mining: Concepts and Techniques — Chapter 6 — Jiawei Han Department of Computer Science University
Documents January 3, 2016Data Mining: Concepts and Techniques1 Data Mining: Concepts and Techniques — Chapter 6 — Jiawei Han Department of Computer Science University

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Classification 1. Classification vs. Prediction Classification – predicts categorical class labels (discrete or nominal) – classifies data (constructs
Documents Classification 1. Classification vs. Prediction Classification – predicts categorical class labels (discrete or nominal) – classifies data (constructs

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Dr. Yukun Bao School of Management, HUST
Documents Dr. Yukun Bao School of Management, HUST

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Classification Evaluation. Estimating Future Accuracy Given available data, how can we reliably predict accuracy on future, unseen data? Three basic approaches
Documents Classification Evaluation. Estimating Future Accuracy Given available data, how can we reliably predict accuracy on future, unseen data? Three basic approaches

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Data Mining Classification and Prediction 1. 2 Classification predicts categorical class labels (discrete or nominal) classifies data (constructs a model)
Documents Data Mining Classification and Prediction 1. 2 Classification predicts categorical class labels (discrete or nominal) classifies data (constructs a model)

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