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Different results #13

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hhtsai-ntu opened this issue Jul 13, 2021 · 0 comments
Open

Different results #13

hhtsai-ntu opened this issue Jul 13, 2021 · 0 comments

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@hhtsai-ntu
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Hi, I found that the model predicted different results when I fitted the model again with the same parameters. Was that normal?

xgboster = imb_xgb(special_objective='weighted', num_round=100, imbalance_alpha=4.0)
xgboster.fit(X_train, y_train)
class_output = xgboster.predict_determine(X_test, y=None)
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