Classification and determination of pH value: A decision tree learning approach

In chemistry, the potential of hydrogen (pH) level is the measure of the acidity or basicity among substances. Generally, this level is determined through the use of a type of indicator dipped into an aqueous solution. A standard pH scale is used to classify the liquid as either basic or acidic. In...

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Main Authors: Chioson, Francheska B., Munsayac, Francisco Emmanuel T., Luta, Raphael Benedict G., Baldovino, Renann G., Bugtai, Nilo T.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2698
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-36972021-10-27T07:52:10Z Classification and determination of pH value: A decision tree learning approach Chioson, Francheska B. Munsayac, Francisco Emmanuel T. Luta, Raphael Benedict G. Baldovino, Renann G. Bugtai, Nilo T. In chemistry, the potential of hydrogen (pH) level is the measure of the acidity or basicity among substances. Generally, this level is determined through the use of a type of indicator dipped into an aqueous solution. A standard pH scale is used to classify the liquid as either basic or acidic. In this paper, the decision tree (DT) learning was implemented using the classification and regression trees (CART) algorithm in classifying whether a substance is basic or acidic. The input data used in this study is the HSV (hue, saturation, value) color space with their corresponding pH level, ranging from 0 to 14. A total of 1,410 data samples were used in which 70% were assigned for training and 30% for testing. Results displayed a high accuracy of 95.3%. Thus, DT algorithm is an effective choice in classifying the pH level of a substance. © 2018 IEEE. 2019-03-12T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2698 Faculty Research Work Animo Repository Decision trees Hydrogen-ion concentration—Measurement Machine learning Mechanical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Decision trees
Hydrogen-ion concentration—Measurement
Machine learning
Mechanical Engineering
spellingShingle Decision trees
Hydrogen-ion concentration—Measurement
Machine learning
Mechanical Engineering
Chioson, Francheska B.
Munsayac, Francisco Emmanuel T.
Luta, Raphael Benedict G.
Baldovino, Renann G.
Bugtai, Nilo T.
Classification and determination of pH value: A decision tree learning approach
description In chemistry, the potential of hydrogen (pH) level is the measure of the acidity or basicity among substances. Generally, this level is determined through the use of a type of indicator dipped into an aqueous solution. A standard pH scale is used to classify the liquid as either basic or acidic. In this paper, the decision tree (DT) learning was implemented using the classification and regression trees (CART) algorithm in classifying whether a substance is basic or acidic. The input data used in this study is the HSV (hue, saturation, value) color space with their corresponding pH level, ranging from 0 to 14. A total of 1,410 data samples were used in which 70% were assigned for training and 30% for testing. Results displayed a high accuracy of 95.3%. Thus, DT algorithm is an effective choice in classifying the pH level of a substance. © 2018 IEEE.
format text
author Chioson, Francheska B.
Munsayac, Francisco Emmanuel T.
Luta, Raphael Benedict G.
Baldovino, Renann G.
Bugtai, Nilo T.
author_facet Chioson, Francheska B.
Munsayac, Francisco Emmanuel T.
Luta, Raphael Benedict G.
Baldovino, Renann G.
Bugtai, Nilo T.
author_sort Chioson, Francheska B.
title Classification and determination of pH value: A decision tree learning approach
title_short Classification and determination of pH value: A decision tree learning approach
title_full Classification and determination of pH value: A decision tree learning approach
title_fullStr Classification and determination of pH value: A decision tree learning approach
title_full_unstemmed Classification and determination of pH value: A decision tree learning approach
title_sort classification and determination of ph value: a decision tree learning approach
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/2698
_version_ 1715215707132657664