Build a predictive model to classify

Assignment Help Applied Statistics

Reference no: EM133001450

Data Mining and Knowledge discovery

Classifying Fake news

Objective:
- To build a predictive model to classify if an online news is a fake (positive target) or real news (negative target).

Brief background of data source: Part of the dataset is obtained from Twitter, combined with some derived attributes based on the original attributes from Twitter. The description of attributes in the dataset given is listed in Table 1. Further understanding of Twitter (if you are not familiar with Twitter's social media platform), refer to the Twitter website.

Requirements and rules:
- You can choose to use any software and testing parameters to build the models.
- Predictive modelling techniques to choose: Regression and Decision Tree.
- You can choose to perform many tasks in the data preparation phase, for example, transformation, dummy variables, derived variables, deletion, and grouping/aggregation.

Attachment:- Data Mining.rar

Reference no: EM133001450

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