24 lines
569 B
Python
24 lines
569 B
Python
from sklearn.metrics import confusion_matrix
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import pandas as pd
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import sys
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def main():
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y_test = pd.read_csv("data/y_test.csv")
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y_pred = pd.read_csv("evaluation/y_pred.csv", header=None)
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build_number = sys.argv[1]
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cm = confusion_matrix(y_test, y_pred)
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print(
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"Recall metric in the testing dataset: ",
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cm[1, 1] / (cm[1, 0] + cm[1, 1]),
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)
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accuracy = cm[1, 1] / (cm[1, 0] + cm[1, 1])
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with open(r"evaluation/metrics.txt", "a") as f:
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f.write(f"{accuracy},{build_number}\n")
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if __name__ == "__main__":
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main()
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