In time-series data, cyclic or non-cyclic, an increment or decrement in the magnitude of any variable over time is called the trend of the variable. As mentioned, trends can be cyclic or non-cyclic. If the trend is non-cyclic, it can cause accuracy loss in prediction.
There are many kinds of trends we can identify, but the simplest types can be classified are:
Trend behaviour. Dataset behaviour.
Trend behaviour:
Deterministic trend: In this type of trend, there is consistency, either decremental or incremental.Stochastic trend: In this type of trend, there is inconsistency, either decremental or incremental.
Dataset behaviour:
Global trend: Trend which is present in the whole dataset.Local trend: Trend which is present in only a part or many parts of the
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Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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