aishamj,Aisha MJ,github

Aisha MJ's Projects

gitme

A fun workshop exercise for taking first steps on submiting a Pull Request on GitHub

glugpace-app

GLUG PACE is a group of people who works for Free Software Movement Karnataka.

hospital-mangement-system

Java mini project Hospital Management System with SQL database.

representation-of-performance-metrics-for-microservices-based-machine-learning-a

Machine Learning algorithms integrated with varied options associate degreed strategies for learning. The performance metric contains a major role in determining the capability of any machine learning algorithm. The algorithms apply predefined parameters for analysis in terms of performance metrics. A group of algorithms are going to be applied within the experiment method to see the clear outcome from them. Microservices are used to run the algorithms and extract the performance analysis and reports to be shared for visualization, which helps in better understanding the performances of these Machine learning algorithms. This is done by comparing the results of the performances measured for machine learning algorithms. Overall, the analysis gives minimum to most outcomes which can be utilised to use the given algorithm in several needed use-cases per the requirements. The result can then be analyzed and compared to convey an outcome based on bound parameters to know the power of those algorithm and their implementation in any potential use-cases. The performance analysis is predicated on bound metric and analysis techniques which supplies productive results supported expected assumptions Based on the result obtained that the RFC gives the best accuracy with 87% and but CPU consumption for RFC is much higher at 50% compared to DTC which has CPU consumption of 7% for prima diabetic dataset used in this project.