HW6 In a Classifier Above the Rest

Introduction

Analysis and models

Results

Conclusion

import pandas as pd
df = pd.read_csv('hw6_data_sentiment.csv')

from tabulate import tabulate

df = hw6
def shorten(long_string):
    return long_string[:1] if len(long_string) < 21 else long_string[:20]

def df_for_tabulate(df, column):
    pretty_df = df.copy()
    pretty_df[column] = pretty_df.apply(lambda x: shorten(x[column]), axis = 1)
    return pretty_df
    
tabulate_df = df_for_tabulate(df, 0)
print(tabulate(tabulate_df[:10], tablefmt="simple", headers=tabulate_df.columns))



# KAGGLE 0.58792
# HOLDOUT 0.6236864026656415