IUM_05
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@ -5,6 +5,7 @@ os.environ["TF_ENABLE_ONEDNN_OPTS"] = "0"
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from keras.models import load_model
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from keras.models import load_model
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import pandas as pd
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import pandas as pd
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from sklearn.metrics import confusion_matrix
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from sklearn.metrics import confusion_matrix
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import numpy as np
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def main():
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def main():
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@ -13,7 +14,8 @@ def main():
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y_test = pd.read_csv("data/y_test.csv")
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y_test = pd.read_csv("data/y_test.csv")
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y_pred = model.predict(X_test)
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y_pred = model.predict(X_test)
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y_pred = y_pred > 0.5
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y_pred = y_pred >= 0.5
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np.savetxt("data/y_pred.csv", y_pred, delimiter=",")
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cm = confusion_matrix(y_test, y_pred)
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cm = confusion_matrix(y_test, y_pred)
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print(
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print(
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