model training, test and validation, Other Engineering

Assignment Help:

You are required to undertake the following tasks:

1.      Problem Identification

Download the dataset assigned to you from the module Blackboard site.
Read the data description file to learn some basic characteristics of the dataset. Make sure you have understood the nature of the data.

Perform simple data exploration to get to know: the total number of instances in the dataset, the number of attributes, the data type of each attribute, the basic statistics of each attribute (value range, skewness, and kurtosis), etc.

 Identify and understand the business problems concerned with regard to the data.

Translate the business problem to a data mining problem, and identify the associated data mining tasks to be performed.

3.      Data Preparation
 Transform the dataset into the proper format to be used by SAS® in order to carry out the required data mining task.
Choose appropriate methods for data pre-processing, including dealing with missing values, tackling noisy data, conducting proper data transformation and normalisation, etc.

Divide the whole dataset into several subsets to be used for model training, test and validation.

4.      Model Building

Perform the data mining task you have identified in the first task using the pre-processed dataset. Each task should be completed by applying at least two different algorithms. For classifier building, for example, you may choose decision trees and artificial network networks, or decision trees and nearest-neighbour based algorithm, etc.

In order to build the most appropriate and accurate models different combinations of the relevant model parameters should be considered for each of the selected algorithms.

5.      Model Evaluation

Use the test and validation datasets created in the second task to evaluate the performance of the model produced from the data mining process. Compare the performance of different models in terms of accuracy, generalisation ability, simplicity and cost etc.
Discuss how the models created can be used to address the main business problems identified in the first task.

Final report

You final report should be well-formatted as a formal report containing Title page, Table of Contents, Abstract and References. The main content of the report must as a minimum include the following information:

 A brief discussion on the methodology adopted for the data mining process.
A discussion on what pre-processing was carried out on the given dataset and why it should be conducted.

A discussion on each of the algorithms that were chosen and applied for the data mining task, and an explanation of the settings for the relevant nodes employed in SAS® Enterprise Miner.
A detailed analysis and sound interpretation of the models constructed, including the performance of each model, and their applicability to address the original business problems.

 A reflective commentary and evaluation on the coursework.
 Essential statistics, screen shots, and graphs.

The report should be submitted in a hard copy as well as an electronic copy.


Related Discussions:- model training, test and validation

Seekers , Seekers   There are two main types of sensor used in autono...

Seekers   There are two main types of sensor used in autonomous vehicles (seekers and position/attitude sensors) - although not all systems have both.            - Airc

How do comets get their tails, How do comets get their tails? - Most comet...

How do comets get their tails? - Most comets stay frozen in the outer solar system. Only a few enter the inner solar system where they can grow tails. - When a comet nears the sun

Combustion section - aircraft engine, Combustion section: The combustio...

Combustion section: The combustion chamber has the difficult task of burning large quantities of fuel, supplied through the fuel burners, with extensive volumes of air, supplie

Estimate the total annual particulate matter, A concrete block manufacturer...

A concrete block manufacturer operates a natural gas-fired furnace-type curing kiln (rated at 20 Mbtu/hr) and consumes 820, 000, 000 cubic meters of fuel annually.  Being similar t

Fuel properties of aircraft, Fuel properties of Aircraft: EASE OF FLOW...

Fuel properties of Aircraft: EASE OF FLOW The ease of flow of a fuel is mainly a question of viscosity, but impurities such as ice, dust, wax, etc., may cause blockages in

Thermofluids 1- aeronautical option, general energy equation, non- flow ene...

general energy equation, non- flow energy equation, steady flow equation, joule''s law

Guides for the fire risk assessment, Guides for the fire risk assessment: ...

Guides for the fire risk assessment: In the UK, the Government produce guides for the FRA process that are free to download.   There are a range of guides covering  the ran

Land surveying, Name and discuss the various uses of levelling in surveying...

Name and discuss the various uses of levelling in surveying

Financial econometric , need solution in Financial econometric, Do you have...

need solution in Financial econometric, Do you have an expert in Financial econometric

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd