Severe class imbalance: failures (pos) are ~1.7% of the data. Heavy missing values (the raw data uses na markers). Train / validation / test split — the training data is split 80/20 (stratified) ...
"Top10perc 777 non-null int64\n", "Top25perc 777 non-null int64\n", "F.Undergrad 777 non-null int64\n", "P.Undergrad 777 non-null int64\n", ...
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