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Image of PERBANDINGAN ALGORITMA DECISION TREE C4.5 DAN RANDOM FOREST PADA PREDIKSI RATING APLIKASI APPSTORE

Skripsi

PERBANDINGAN ALGORITMA DECISION TREE C4.5 DAN RANDOM FOREST PADA PREDIKSI RATING APLIKASI APPSTORE

Ridwan, Muhammad - Personal Name;

Penilaian

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Penilaian anda saat ini :  

Technology company Apple Inc develops and distributes an operating system called iOS. To find apps on iOS, users need to download apps from a service called the Appstore. Users can provide feedback to rate the application in the form of a rating. The better the rating, the more interested the user will be in the application and will download the application, so analysis is needed. The data used in this study is secondary data obtained from Kaggle.com. the data consists of 7197 observations and 16 variables. The results of this study indicate the accuracy value of the Decision Tree algorithm using quartile discretized data has an accuracy of 76.98%. precision of 74.48% and recall of 76.98%. The value of the accuracy of the Decision Tree algorithm on arrival discretized frequency distribution has an accuracy of 74.80%, a precision of 70.20% and a recall of 74.80%. While the accuracy value of the Random Forest algorithm on quartile discretized data has an accuracy of 77.93%, a precision of 76.02% and a recall of 77.93%. The accuracy value of the Random Forest algorithm on data discretized by the frequency distribution has an accuracy of 75.41%, a precision of 68.80% and a recall of 75.41%. In predicting the Appstore rating, the Random Forest algorithm is better than the Decision Tree algorithm.


Availability
Inventory Code Barcode Call Number Location Status
2307003538T94588T945882023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T945882023
Publisher
Indralaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2023
Collation
i, 50 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
518.107
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Algoritma
Jurusan Matematika
Specific Detail Info
-
Statement of Responsibility
PITRIA
Other version/related

No other version available

File Attachment
  • PERBANDINGAN ALGORITMA DECISION TREE C4.5 DAN RANDOM FOREST PADA PREDIKSI RATING APLIKASI APPSTORE
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