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Python 98.98% HTML 0.01% CSS 0.01% JavaScript 0.05% Jupyter Notebook 0.03% C++ 0.25% C 0.47% Fortran 0.03% Smarty 0.01% Makefile 0.01% MATLAB 0.01% TeX 0.08% Tcl 0.05% PowerShell 0.01% Batchfile 0.01%

hk-project's Introduction

hk-project

This is the second part of NJU CS elite program's visit to HKUST. You have a larger dataset with more features. Your goal is to predict the running time of some computer programs.

Description

This competition is about modeling the performance of computer programs. The dataset provided describes a few examples of running SGDClassifier in Python. The features of the dataset describes the SGDClassifier as well as the features used to generate the synthetic training data. The data to be analyzed is the training time of the SGDClassifier.

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