least 10 users but no more than 60% of users in the training set. The regularization parameter is tuned via efficient leave one out cross validation [@vehtari2015efficient] when $n<10,000$, and $3$-fold cross validation for larger datasets. All BoW models are implemented using the sklearn library [@scikit-learn]. Table \[acc\_cont\] reports the number of samples and explained variance (EV) of the predictions on continuous data. Table \[acc\_cat\] reports the number of classes, ratio of samples in the dominant class, homogeneity, and performance on tasks with categorical data.

  **Label**                   **N**   **EV**
  --------------------------- ------- --------
  **Personality**                     
   Openness                   84451   0.171
   Conscientiousness          84451   0.120
   Extroversion               84451   0.141
   Agreeableness              84451   0.090
   Neuroticism                84451   0.100
  **Sensational Interests**           
   Militarism                 4074    0.165
   Violent-Occult             4074    0.192
   Intellectual Recreation    4074    0.033
   Occult Credulousness       4074    0.144
   Wholesome Activities       4074    0.108
  Satisfaction With Life      2502    0.034
  Self Disclosure             2006    0.092
  Fair-Mindedness             2006    0.064
  IQ                          1807    0.128

  : Prediction Accuracy on Continuous Data[]{data-label="acc_cont"}

Explained Variance (EV) is 1-$\frac{\mathrm{Var}(y-\hat{y})}{\mathrm{Var}(y)}$, where $\hat{y}$ is the predicted label.

  **Label**             **N**    **Classes**   **Mode**   **Homogeneity**   **F1-score**   **Acc**
  --------------------- -------- ------------- ---------- ----------------- -------------- ---------
  Gender                109104   2             0.598      0.519             0.92           0.903
  Race                  22059    3             0.682      0.52              0.74           0.766
  Political identity    19769    12            0.213      0.133             0.33           0.337
  Religious identity    8388     5             0.488      