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Team Name: ZeroR Members: 0. Pratik Shrestha (077BCT059, Bachelors in Computer Engineering, Pulchwok Campus) 0. Nitiz Khanal (077BEL025, Bachelors in Electrical Engineering, Pulchwok Campus) Platform used for executing code: Google Colab, Kaggle Kernel The code is very unmanaged. So, to save you some time, we present you: "Time Saver dot txt" Data: locus.csv -> train validation.csv and test.csv -> as the name implies. Models: Logistic Regression, Support Vector Classifier, Naive Bayes All of them take about 20 minutes to train. Logistic Regression won. We also tried Neural Networks with very little success. We tried different variations with CNN and LSTM. Because the preprocessing steps took eternity, we changed the model architechture in the same file. So, only the last variation is available at Models/mental.ipynb. Thank you. Best Regards, ZeroR
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Team ZeroR's submission for the Docsumo DataRush 2022, organized by LOCUS.
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