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In: Computer Science

Predictive modeling and classification are two major areas of study in analytics. Besides logistic regression, CART,...

Predictive modeling and classification are two major areas of study in analytics. Besides logistic regression, CART, and k-NN find at least one different predictive modeling approach and one classification approach.

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Expert Solution

Time-series Analysis:
A statistic could be a series of information points indexed in time order.
most ordinarily, a statistic is a sequence taken at ordered equally spaced points in time. so it's a sequence of discrete-time data. samples of statistic are heights of ocean tides, counts of sunspots, and also the daily closing price of the Dow Jones Industrial Average.
Time series analysis comprises strategies for analyzing time-series knowledge so as to extract pregnant statistics and alternative characteristics of the information. Time series forecasting is the utilization of a model to predict future values supported antecedently discovered values. While regression analysis is typically used in such the simplest way on check theories that this prices of 1 or a lot of freelance statistics have an effect on this value of all over again series, this sort of study of your time series isn't referred to as "time series analysis", that focuses on scrutiny values of one statistic or multiple dependent statistic at totally different points in time. Interrupted statistic analysis is the analysis of interventions on one-time series.


Random Forest:
Random forest classifier could be a meta-estimator that matches a variety of call trees on varied sub-samples of datasets and uses a mean to boost the prophetical accuracy of the model and controls over-fitting. The sub-sample size is often identified because the original input sample size however the samples are drawn with replacement.
Some blessings are a reduction in over-fitting and random forest classifier is a lot of correct than call trees in most cases. and drawbacks are disadvantages of slow period prediction, troublesome to implement, and sophisticated algorithmic rule.


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