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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')

test7 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-7/test.csv')

test8 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-8/test.csv')

test9 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-9/test.csv')

train0 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-0/train.csv')

train1 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-1/train.csv')

train2 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-2/train.csv')

train3 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-3/train.csv')

train4 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-4/train.csv')

train5 = pd.read_csv('/kaggle/input/resnet50-cifake-batch-5/train.csv')

print(classification_report(train5['label'], train5['prediction']))