Keywords
Classification
Linear Data
Supervised Learning
Unsupervised Learning
Ranges
Algorithms
Clustering
Decision Tree
Linear Data
Supervised Learning
Unsupervised Learning
Ranges
Algorithms
Clustering
Decision Tree
How to Cite
Ahmer Hassan, & Usman Khan. (2020). Supervised Learning Algorithm of Classification on Basis of Ranges. KIET Journal of Computing and Information Sciences, 3(1), 13. https://doi.org/10.51153/kjcis.v3i1.33
Abstract
A supervised learning algorithm of classification which is implemented on linear data. Ranges/Boundaries of each group are calculated. As the data is linear the number of ranges will be equal to a number of classes. New input data will be tested by in which range/boundary it lies. And the range in which it lies, the class of that specific range will be assigned to the new data. The experimental results show that the accuracy depends on the linearity of the data. Therefore our model can show accuracy up to 99.99% also if the data is completely linear in nature.