The purpose of this study is to identify the socioeconomic and demographic factors associated with household food insecurity in Namibia by fitting an ordinal logistic regression model using the ...

The purpose of this study is to identify the socioeconomic and demographic factors associated with household food insecurity in Namibia by fitting an ordinal logistic regression model using the ...

One of the strengths of the model is its competitive grade of interpretability which is a requisite in most of real applications. The proposed algorithm is compared to other well-known ordinal ...

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).

Stencil computations expose a large and complex space of equivalent implementations. These computations often rely on autotuning techniques, based on iterative compilation or machine learning (ML), to ...

Output: Result: Thus the program to implement the the Logistic Regression Model to Predict the Placement Status of Student is written and verified using python programming.

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