Gender differences in mate selection evidence from a speed dating portuguese portugal dating site 2016

I’m interested in predicting the likelihood of a ‘match’, that is, two participants each signifying interest in a second date, based on how they rated one another across all six attributes.This dataset, which is freely available at https:// includes a binary ‘match’ field signifying bilateral interest in a second date, as well as 6x2 fields for how each participant/partner combination rated one another across the six attributes. Navigation Drawer-drawer Navigation Menu Compressed @media (min-width:960px) . Navigation Drawer-drawer Navigation Menu Uncompressed @media (max-width:959.95px) . Mui Snackbar-anchor Origin Top Center @media (min-width:960px) . Mui Button-text Primary:hover @media (hover: none) . Mui Button-text Secondary:hover @media (hover: none) . In this study, participants in speed dating events spent a fixed amount of time interacting with other participants, and were then asked to rate each other on six attributes: Attractiveness, Sincerity, Intelligence, Fun, Ambition and Shared Interests.

So, for instance, an ‘attr_2avg’ value of 5.0 signifies that the average of a) the participant’s attractive rating of his/her partner and b) the partner’s attractiveness rating of the participant have a mean value of 5.

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After a little munging, let’s explore this dataset using panda’s data-frame ‘describe’ method: The dataset has 3,013 observations — two-way interactions between a participant and a partner.

The data has been cleaned to ensure that only one record exists for each unique participant/partner combination. A match only occurs between 17.8% of participant/partner pairs.

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