FUTURE FUNDS ORACLE uses smart maths to predict about what people might do with their money. It also assist financial institutions in understanding customer behaviour and identifying potential subscribers accurately. By uncovering patterns and trends within the data.
Data Visualization involves presenting data in a graphical or visual formats like charts,graphs,or maps. We have used data visualization to make complex information easier to understand and analyze.To understand complex ideas more easily we can analyse the patterns ,trends.Through visuals we can understand corelations between features.These visuals make it easier to spot important stuff in the data. They are like maps that guide us through the data jungle. It plays an important role in exploratory data analysis which can lead to the more accurate results. Some of the plots like Box plot,Histogram,Bar plot etc are described below.
Testing Scores help us to determine how well the system's predictions matches with the actual octcome. This also tells us about the accuracy and reliability of the predictive system and its result.
After checking the scores of every model we have found that the logistic regression model has the best accuracy. Logistic regression is a supervised machine learning algorithm mainly used for classification tasks where the goal is to predict the probability that an instance belongs to a given class or not. It is a kind of statistical algorithm, which analyze the relationship between a set of independent variables and the dependent binary variables. It is a powerful tool for decision-making.