Application of Decision Tree to Predict Gross Income of a Movie
نویسنده
چکیده
Decision Trees are powerful and popular tools for prediction. These trees are especially useful where in addition to the accuracy of the prediction, the reason for the prediction is also important. This paper presents an application where these decision trees would be used to predict the gross income of a bollywood movie. The paper identifies several factors influencing a movie's income and applies decision tree learning to predict the gross income.
منابع مشابه
Predicting Movie Prices Through Dynamic Social Network Analysis
This paper explores the effectiveness of social network analysis and sentiment analysis in predicting trends. Our research focuses on predicting the success of new movies over their first four weeks in the box office after opening. Specifically, we try to predict prices on the Hollywood Stock Exchange (HSX), a prediction market on movie gross income, and predict the ratio of gross income to pro...
متن کاملApplication of soil properties, auxiliary parameters, and their combination for prediction of soil classes using decision tree model
Soil classification systems are very useful for a simple and fast summarization of soil properties. These systems indicate the method for data summarization and facilitate connections among researchers, engineers, and other users. One of the practical systems for soil classification is Soil Taxonomy (ST). As determining soil classes for an entire area is expensive, time-consuming, and almost ...
متن کاملمطالعات درخت تصمیم در برآورد ریسک ابتلا به سرطان سینه با استفاده از چند شکلیهای تک نوکلوئیدی
Abstract Introduction: Decision tree is the data mining tools to collect, accurate prediction and sift information from massive amounts of data that are used widely in the field of computational biology and bioinformatics. In bioinformatics can be predict on diseases, including breast cancer. The use of genomic data including single nucleotide polymorphisms is a very important ...
متن کاملSteel Buildings Damage Classification by damage spectrum and Decision Tree Algorithm
Results of damage prediction in buildings can be used as a useful tool for managing and decreasing seismic risk of earthquakes. In this study, damage spectrum and C4.5 decision tree algorithm were utilized for damage prediction in steel buildings during earthquakes. In order to prepare the damage spectrum, steel buildings were modeled as a single-degree-of-freedom (SDOF) system and time-history...
متن کاملApplication of Different Methods of Decision Tree Algorithm for Mapping Rangeland Using Satellite Imagery (Case Study: Doviraj Catchment in Ilam Province)
Using satellite imagery for the study of Earth's resources is attended by manyresearchers. In fact, the various phenomena have different spectral response inelectromagnetic radiation. One major application of satellite data is the classification ofland cover. In recent years, a number of classification algorithms have been developed forclassification of remote sensing data. One of the most nota...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014