IMPROVING PREDICTIONS USING QUALITATIVE PARAMETERS (20150426)
Authors :
PRASHANT MAHAJAN
, PRATIK DESHPANDE
, TEJAS NANAWARE, PROF. MAHENDRA PATIL
Abstracts : Selecting appropriate parameters while
making any prediction model is a tedious task. Often,
while constructing a prediction model, categorical
variables are ignored. If we include more qualitative
parameters for prediction, the observed results will
have more accuracy.
Neural networks help in a proper learning
methodology which utilizes the concept of machine
learning. When prediction is to be made, the human
behavioral patterns hamper the test results as it
plays a crucial role in any decision making.
Employing qualitative parameters in decision
making, accurate conjectures are possible.
Qualitative parameters are considered fuzzy in
nature and neural networks, which is one of the
major components of the soft computing, works very
well with incomplete data.
In this paper we have discussed how
qualitative parameters will help in improving, the
prediction accuracy, and the decision making logic,
to make predictive models more sustainable and
robust.
Pages : 77-82
Downloads : 104
Publication Date : 2017-08-25
Modified Date : 2018-01-18
Cite/Export
PRASHANT MAHAJAN ,
PRATIK DESHPANDE ,
TEJAS NANAWARE, PROF. MAHENDRA PATIL ,
"IMPROVING PREDICTIONS USING QUALITATIVE PARAMETERS", JournalNX - A Multidisciplinary Peer Reviewed Journal, Volume 3 Issue 8, ISSN : 2581-4230, Page No. 77-82