ium_464913/metrics.py
2024-05-04 15:42:16 +02:00

26 lines
698 B
Python

from sklearn.metrics import (
accuracy_score,
precision_score,
recall_score,
)
import pandas as pd
def main():
y_test = pd.read_csv("data/y_test.csv")
y_pred = pd.read_csv("evaluation/y_pred.csv", header=None)
accuracy = accuracy_score(y_test, y_pred)
precision_micro = precision_score(y_test, y_pred, average="micro")
recall_micro = recall_score(y_test, y_pred, average="micro")
with open(r"evaluation/metrics.txt", "a") as f:
f.write(f"Accuracy: {accuracy}\n")
f.write(f"Micro-average Precision: {precision_micro}\n")
f.write(f"Micro-average Recall: {recall_micro}\n")
f.write(f"\n")
if __name__ == "__main__":
main()