ML model is predicting the same output for different inputs about keras HOT 4 CLOSED

Your model might be overfitting the training data, capturing noise rather than underlying patterns. This can lead to poor generalization to new data. You could try to; Check for multicollinearity among features, normalizing your features if they are on different scales or even Experiment with different machine learning algorithms.

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This repo is for reporting the bugs for the Keras framework only.
From your code, it does not look like you're using Keras.
For support related questions you can post in Stack Overflow community.

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