This document discusses predicting cricket player performance using machine learning. It aims to predict how many runs batsmen will score and how many wickets bowlers will take. It reviews previous research on predicting player performance in cricket. It then describes the proposed system, which will use attributes like batting average, strike rate, bowling average to generate prediction models using algorithms like decision trees. The system aims to help with player selection for tournaments where teams play various opponents in different conditions. It concludes the system will make team selection more accurate by providing automated player analysis and performance predictions.
INCREASED PREDICTION ACCURACY IN THE GAME OF CRICKETUSING MACHINE LEARNINGIJDKP
Player selection is one the most important tasks for any sport and cricket is no exception. The performance
of the players depends on various factors such as the opposition team, the venue, his current form etc. The
team management, the coach and the captain select 11 players for each match from a squad of 15 to 20
players. They analyze different characteristics and the statistics of the players to select the best playing 11
for each match. Each batsman contributes by scoring maximum runs possible and each bowler contributes
by taking maximum wickets and conceding minimum runs. This paper attempts to predict the performance
of players as how many runs will each batsman score and how many wickets will each bowler take for both
the teams. Both the problems are targeted as classification problems where number of runs and number of
wickets are classified in different ranges. We used naïve bayes, random forest, multiclass SVM and decision
tree classifiers to generate the prediction models for both the problems. Random Forest classifier was
found to be the most accurate for both the problems.
PREDICTING PLAYERS' PERFORMANCE IN ONE DAY INTERNATIONAL CRICKET MATCHES USIN...cscpconf
Player selection is one the most important tasks for any sport and cricket is no exception. The
performance of the players depends on various factors such as the opposition team, the venue,
his current form etc. The team management, the coach and the captain select 11 players for
each match from a squad of 15 to 20 players. They analyze different characteristics and the
statistics of the players to select the best playing 11 for each match. Each batsman contributes
by scoring maximum runs possible and each bowler contributes by taking maximum wickets and
conceding minimum runs. This paper attempts to predict the performance of players as how
many runs will each batsman score and how many wickets will each bowler take for both the
teams. Both the problems are targeted as classification problems where number of runs and
number of wickets are classified in different ranges. We used naïve bayes, random forest,
multiclass SVM and decision tree classifiers to generate the prediction models for both the
problems. Random Forest classifier was found to be the most accurate for both the problems.
EFFECT OF STUDENT LEARNING MODEL ON EMOTIONAL INTELLIGENCEIAEME Publication
The era of globalization requires someone to have intelligence in facing all
difficulties and challenges, not closing the possibility of physical education learning. In
this study, an increase in emotional intelligence was developed using learning models
INCREASED PREDICTION ACCURACY IN THE GAME OF CRICKETUSING MACHINE LEARNINGIJDKP
Player selection is one the most important tasks for any sport and cricket is no exception. The performance
of the players depends on various factors such as the opposition team, the venue, his current form etc. The
team management, the coach and the captain select 11 players for each match from a squad of 15 to 20
players. They analyze different characteristics and the statistics of the players to select the best playing 11
for each match. Each batsman contributes by scoring maximum runs possible and each bowler contributes
by taking maximum wickets and conceding minimum runs. This paper attempts to predict the performance
of players as how many runs will each batsman score and how many wickets will each bowler take for both
the teams. Both the problems are targeted as classification problems where number of runs and number of
wickets are classified in different ranges. We used naïve bayes, random forest, multiclass SVM and decision
tree classifiers to generate the prediction models for both the problems. Random Forest classifier was
found to be the most accurate for both the problems.
PREDICTING PLAYERS' PERFORMANCE IN ONE DAY INTERNATIONAL CRICKET MATCHES USIN...cscpconf
Player selection is one the most important tasks for any sport and cricket is no exception. The
performance of the players depends on various factors such as the opposition team, the venue,
his current form etc. The team management, the coach and the captain select 11 players for
each match from a squad of 15 to 20 players. They analyze different characteristics and the
statistics of the players to select the best playing 11 for each match. Each batsman contributes
by scoring maximum runs possible and each bowler contributes by taking maximum wickets and
conceding minimum runs. This paper attempts to predict the performance of players as how
many runs will each batsman score and how many wickets will each bowler take for both the
teams. Both the problems are targeted as classification problems where number of runs and
number of wickets are classified in different ranges. We used naïve bayes, random forest,
multiclass SVM and decision tree classifiers to generate the prediction models for both the
problems. Random Forest classifier was found to be the most accurate for both the problems.
EFFECT OF STUDENT LEARNING MODEL ON EMOTIONAL INTELLIGENCEIAEME Publication
The era of globalization requires someone to have intelligence in facing all
difficulties and challenges, not closing the possibility of physical education learning. In
this study, an increase in emotional intelligence was developed using learning models
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Basketball players performance analytic as experiential learning approachNurfadhlina Mohd Sharef
To cite: Sharef, N.M., Mustapha, A., Azmi, M.N., Nordin, R., (2020), "Basketball Players Performance Analytic as Experiential Learning Approach in Teaching Undergraduate Data Science Course", International Conference on Advancement in Data Science, E-learning and Information Systems (ICADEIS 2020).
This white paper we will focus on football sport, how this sports is getting popularity in India &
and other Asian countries and how use of information technology in sports management will
benefit the football sport.
Metulini, R., Manisera, M., Zuccolotto, P. (2017), Sensor Analytics in Basket...University of Salerno
A new approach in team sports analysis consists in studying positioning and movements of players during the game in relation to team performance. State of the art tracking systems produce spatio-temporal traces of players that have facilitated a variety of research aimed to extract insights from trajectories. Several methods borrowed from machine learning, network and complex systems, geographic information system, computer vision and statistics have been proposed. After having reviewed the state of the art in those niches of literature aiming to extract useful information to analysts and experts in terms of relation between players' trajectories and team performance, this paper presents preliminary results from analysing trajectories data and sheds light on potential future research in this eld of study. In particular, using convex hulls, we find interesting regularities in players' movement patterns.
Design and Implementation of a Predictive Model for Nigeria Local Football Le...CSCJournals
Sports prediction has become more interesting especially in the era of statistical information about the sport, players, teams and seasons are readily available. Sport analysts have opted out in their traditional ways of analyzing sport events and tends to leverage on the advantages of sports data; this enables more realistic analysis beyond sentiments. However, football game was considered in this research. Data from Nigerian Professional Football League (NPLF) was used to predict result based on different conditions such as home win, draw and away win of teams in the league. Machine Learning, k-Nearest Neighbor and mathematical Poisson distribution algorithm was hybridized using data mining tools together with Anaconda packages. The model accuracy was compared with other online bookmarkers, and it yielded 93.33% accuracy which will be helpful in making substantial profits in within the economy through the betting industries. This model is practically based on the home and away matches coupled with historical trends of goals scored and winning of previous matches, by implication, Nigerian football league will be more enhanced to catch up with their international counterparts and the players tends to get more feasibility from match result predictions for international participation and employment opportunities.
Cricket Prediction Using ML and Data Analytics.pptxkrunalchaudhari40
Data analytics is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Data mining techniques are very effective and useful for forecasting in many domains or fields. In this
research, prediction of Spanish la liga football match outcomes is carried out using various data mining techniques
(Multilayer Perception, Decision Tables, Random Forest, Reptree and Meta. Bagging) to determine the most accurate
among these techniques.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Basketball players performance analytic as experiential learning approachNurfadhlina Mohd Sharef
To cite: Sharef, N.M., Mustapha, A., Azmi, M.N., Nordin, R., (2020), "Basketball Players Performance Analytic as Experiential Learning Approach in Teaching Undergraduate Data Science Course", International Conference on Advancement in Data Science, E-learning and Information Systems (ICADEIS 2020).
This white paper we will focus on football sport, how this sports is getting popularity in India &
and other Asian countries and how use of information technology in sports management will
benefit the football sport.
Metulini, R., Manisera, M., Zuccolotto, P. (2017), Sensor Analytics in Basket...University of Salerno
A new approach in team sports analysis consists in studying positioning and movements of players during the game in relation to team performance. State of the art tracking systems produce spatio-temporal traces of players that have facilitated a variety of research aimed to extract insights from trajectories. Several methods borrowed from machine learning, network and complex systems, geographic information system, computer vision and statistics have been proposed. After having reviewed the state of the art in those niches of literature aiming to extract useful information to analysts and experts in terms of relation between players' trajectories and team performance, this paper presents preliminary results from analysing trajectories data and sheds light on potential future research in this eld of study. In particular, using convex hulls, we find interesting regularities in players' movement patterns.
Design and Implementation of a Predictive Model for Nigeria Local Football Le...CSCJournals
Sports prediction has become more interesting especially in the era of statistical information about the sport, players, teams and seasons are readily available. Sport analysts have opted out in their traditional ways of analyzing sport events and tends to leverage on the advantages of sports data; this enables more realistic analysis beyond sentiments. However, football game was considered in this research. Data from Nigerian Professional Football League (NPLF) was used to predict result based on different conditions such as home win, draw and away win of teams in the league. Machine Learning, k-Nearest Neighbor and mathematical Poisson distribution algorithm was hybridized using data mining tools together with Anaconda packages. The model accuracy was compared with other online bookmarkers, and it yielded 93.33% accuracy which will be helpful in making substantial profits in within the economy through the betting industries. This model is practically based on the home and away matches coupled with historical trends of goals scored and winning of previous matches, by implication, Nigerian football league will be more enhanced to catch up with their international counterparts and the players tends to get more feasibility from match result predictions for international participation and employment opportunities.
Cricket Prediction Using ML and Data Analytics.pptxkrunalchaudhari40
Data analytics is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Data mining techniques are very effective and useful for forecasting in many domains or fields. In this
research, prediction of Spanish la liga football match outcomes is carried out using various data mining techniques
(Multilayer Perception, Decision Tables, Random Forest, Reptree and Meta. Bagging) to determine the most accurate
among these techniques.
Similar to IRJET- A Survey on Team Selection in Game of Cricket using Machine Learning (20)
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.