21 lines
626 B
Python
21 lines
626 B
Python
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import pandas as pd
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import re
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from sklearn import metrics
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import numpy as np
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f = open("result.txt", "r")
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list_result, list_predicted=[],[]
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for x in f:
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data = x.split(' ')
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result = re.findall(r'\d+', data[1])
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predicted = re.findall(r'\d+', data[5])
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result=int(result[0])
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predicted=float('.'.join(predicted))
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list_result.append(result)
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list_predicted.append(predicted)
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print("MAE: ", metrics.mean_absolute_error(list_result, list_predicted))
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print("MSE: ",metrics.mean_squared_error(list_result, list_predicted))
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print("RMSE: ",np.sqrt(metrics.mean_absolute_error(list_result, list_predicted)))
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