In Scikit-Learn sklearn.datasets has load_wine loader: Explain what are the classes of this data, what are the features of this data, how many dimensions does this data have, and how many samples this data has. Divide the data into training and testing, and implement the Bayesian classifier on this data and calculate the accuracy Divide the data into training and testing, and implement the Multi-Layer Perceptron on this data and calculate the accuracy Divide the data into training and testing, and implement the K-Means Clustering on this data and calculate the accuracy Divide the data into training and testing, and implement the Decision Tree on this data and calculate the accuracy Compare the accuracy of the algorithms, and explain the results.

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Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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In Scikit-Learn sklearn.datasets has load_wine loader:

Explain what are the classes of this data, what are the features of this data, how many dimensions does this data have, and how many samples this data has.
Divide the data into training and testing, and implement the Bayesian classifier on this data and calculate the accuracy
Divide the data into training and testing, and implement the Multi-Layer Perceptron on this data and calculate the accuracy
Divide the data into training and testing, and implement the K-Means Clustering on this data and calculate the accuracy
Divide the data into training and testing, and implement the Decision Tree on this data and calculate the accuracy
Compare the accuracy of the algorithms, and explain the results.

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