Evaluation and Performance Analysis of Machine Learning Algorithms
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 5
Abstract
Prediction is widely researched area in data mining domain due to its applications. There are many traditional quantitative forecasting techniques, such as ARIMA, exponential smoothing, etc. which achieved higher success rate in the forecasting but it would be useful to study the performance of alternative models such as machine learning methods. This paper gives performance measures of various machine learning algorithms used for prediction. The goal is to find how different machine learning algorithms gives performance when applied to different types of datasets.
Authors and Affiliations
Mr. Shridhar Kamble
Keywords
Related Articles
- EP ID EP95384
- DOI -
- Views 78
- Downloads 0
Comparative Study for Lipase Production by Using Pseudomonas Aeruginosa and Pseudomonas Fluorescens
Lipases occur widely in nature, but only microbial lipases are commercially significant. The present work focuses on screening and production of extracellular laccases by Pseudomonas aeruginosa and Pseudomonas flu...
EFFECT OF TITANIUM POWDER ADDITION ON TENSILE STRENGTH IN SUBMERGED ARC WELDING
Submerged arc welding is a type of arc welding process having wide applications in industry. In this process proper selection of input welding parameters is necessary in order to obtain a good quality weld and sub...
ACETYLENE USED AS ALTERNATIVE FUEL IN PETROL ENGINE
Studies reveal that Acetylene gas produced from lime stone (CaCO3) is renewable in nature and exhibits SImilar properties to those of hydrogen. An experimental investigation has been carried out on a SIngle cylinde...
Comparative Studies of NiMgCuZn composite ferrites with Equimolar (NiCuZn+MgCuZn) Nanocomposite ferrite useful for Microinductors Applications
In this paper, we report a comparative study on structural, magnetic, electric properties and stress sensitivity of the Ni0.175Mg0.125Cu0.15Zn0.55Fe2O4 with equimolar nano composite ferrite 0.5((Ni0.35Cu0.05Zn0.6F...
Detection of Greedy Nodes over
Wireless Sensor Networks (WSNs) are ad nodes to collectively gather physical or environmental conditions at diffe transmit data or information from different sensor nodes to a data repository on a server. The lif...