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I am using a dataset from Google which contains 1,27,000 data points on simulated concentrations of the atmosphere of exoplanets which can sustain life. So, the output label of all these data points is 1 i.e, probability of life existing there is 1. If I train my neural network on this data, and test it on data points with concentrations other than these, can I expect to get probability values at the output? Asking because the model knows no false labelled value.

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Yes, you can and the answer is One-Class Classification. A well-written resource to understand is this.

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  • $\begingroup$ Thank you for your reply. I will check it out. $\endgroup$
    – Niranjan Dindodi
    Commented Sep 15, 2020 at 9:05

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