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from sklearn.metrics import classification_report

import pandas as pd

import pandas as pd
test0 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-0/test.csv')

test1 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-1/test.csv')

test2 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-2/test.csv')

test3 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-3/test.csv')

test4 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-4/test.csv')

test5 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-5/test.csv')

test6 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-6/test.csv')

print(classification_report(test6['label'], test6['prediction']))