Features related to the apps being used on the device such as most seen app category, number of distinct apps used by the device, number of premium apps used by the device etc.
| Feature Name | Data Type | Definition | Android Example | iOS Example |
| pre_active_app | double | Proportion of active apps. Apps are defined to be active if they were used during the latest 3 months (device dependent) | 0.216666667 | 0.86163522 |
| pre_app_cats_day | double | Average number of distinct app categories used in a day | 0.718392611 | 0 |
| pre_distinct_app_cats | double | Distinct number of global app categories for a device | 0.516129017 | 0.838709652 |
| pre_avail_app_count | double | Preprocessed value of the number of apps found for the device | 0.394557834 | 1 |
| pre_num_app_day | double | Average number of distinct apps used in a day | 0.5 | 1 |
| pre_top_app_pct | double | Proportion of apps that are popular. The top 100 most frequently used apps in a country (separate list for Android / iOS) based on MW data are tagged as popular apps | 0.266666667 | 0.031446541 |
| pre_most_seen_appcategory | string | App category with most received mobile signals. Possible values would be from all global app categories | BOOKS_AND_REFERENCE | GAMES |
| pre_distinct_app | double | Preprocessed value of the distinct apps for the device | 0.380645156 | 1 |
| pre_paid_app_count | double | Preprocessed value of the engagement score with the paid apps for the device. Paid apps are the ones that user would need to pay to download the app | 0 | 0 |
| pre_global_books_and_reference | double | Device engagement score for the App category which indicates the magnitude/proportion of usage of that App category with respect to usage across all other App categories on the device. Score range is from 0 to 1. A higher score for a particular category represents higher engagement of the device towards that category as compared to the engagement of that device with other categories | 0.34158 | 0.01351 |
| pre_global_business | double | 0 | 0 | |
| pre_global_education | double | 0.00104 | 0.00441 | |
| pre_global_entertainment | double | 0.00084 | 0.14772 | |
| pre_global_finance | double | 0 | 0 | |
| pre_global_food_and_drink | double | 0 | 0.00005 | |
| pre_global_health_and_fitness | double | 0 | 0.00178 | |
| pre_global_lifestyle | double | 0.07003 | 0.0108 | |
| pre_global_maps_and_navigation | double | 0 | 0 | |
| pre_global_medical | double | 0 | 0 | |
| pre_global_music | double | 0.01012 | 0.01191 | |
| pre_global_news_and_magazines | double | 0 | 0 | |
| pre_global_photography | double | 0.00396 | 0 | |
| pre_global_productivity | double | 0 | 0 | |
| pre_global_shopping | double | 0 | 0 | |
| pre_global_social | double | 0.00038 | 0.00197 | |
| pre_global_sports | double | 0 | 0.00005 | |
| pre_global_tools | double | 0.00083 | 0 | |
| pre_global_travel | double | 0 | 0 | |
| pre_global_weather | double | 0 | 0 | |
| pre_global_games | double | 0.05498 | 0.77371 | |
| pre_global_games_action | double | 0.00058 | 0.10426 | |
| pre_global_games_adventure | double | 0 | 0.02338 | |
| pre_global_games_arcade | double | 0.05071 | 0.19326 | |
| pre_global_games_board | double | 0 | 0.03044 | |
| pre_global_games_card | double | 0 | 0.00058 | |
| pre_global_games_casino | double | 0 | 0.00057 | |
| pre_global_games_casual | double | 0.00203 | 0 | |
| pre_global_games_educational | double | 0 | 0 | |
| pre_global_games_music | double | 0 | 0.03504 | |
| pre_global_games_puzzle | double | 0.00001 | 0.11031 | |
| pre_global_games_racing | double | 0 | 0.02073 | |
| pre_global_games_role_playing | double | 0.00001 | 0.02063 | |
| pre_global_games_simulation | double | 0.00139 | 0.07985 | |
| pre_global_games_sports | double | 0 | 0.03361 | |
| pre_global_games_strategy | double | 0 | 0.00944 | |
| pre_global_games_trivia | double | 0 | 0.00144 | |
| pre_global_games_word | double | 0.00024 | 0.01503 |
