34 lines
899 B
Python
34 lines
899 B
Python
#recall, precision. f1
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predictionsFilename = "pred.pred"
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testFilename = "test.txt"
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actual = []
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with open(testFilename, 'r') as tf:
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actual = [x.split('|')[0].replace(" ","") for x in tf.readlines()]
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predicted=[]
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with open(predictionsFilename, 'r') as pf:
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predicted=[x.lstrip().rstrip() for x in pf.readlines()]
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pairs=zip(actual,predicted)
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trueNegative=0
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falseNegative=0
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falsePositive=0
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truePositive=0
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for pair in pairs:
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if pair[0] == '-1':
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if pair[1] == "-1":
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trueNegative+=1
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else:
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falseNegative+=1
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elif pair[0] == "+1":
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if pair[1] in ["+1", "1"]:
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truePositive+=1
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else:
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falsePositive+=1
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precision = truePositive/(truePositive+falsePositive)
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recall=truePositive/(truePositive+falseNegative)
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f1 = 2*(precision*recall)/(precision+recall)
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print(f"Precision: {precision} \n Recall: {recall} \n f1: {f1}") |