Research Article

Automatic Task Classification via Support Vector Machine and Crowdsourcing

Table 2

The precision and recall values of each task as well as the top 3 misclassifications.

Task namePrecision (%)Recall (%)Top 3 misclassifications

Transportation91.4894.33TravelMapRestaurant
1.61%1.46%0.76%
Map83.8782.76RestaurantShoppingTransportation
5.53%4.49%3.45%
Travel93.6494.44TransportationWikipediaRestaurant
0.85%0.81%0.62%
Music88.9886.25Music playerWikipediaBook
6.33%3.07%1.56%
Movie89.7493.10BookInformationMusic
1.28%1.18%1.09%
Photo95.8695.13InformationCameraWikipedia
0.99%0.90%0.61%
Book91.2191.51MusicWikipediaShopping
1.52%1.47%1.09%
News93.0894.14WikipediaInformationBook
1.37%0.85%0.61%
Game88.2389.07AppsMusic playerMovie
6.48%0.71%0.47%
Apps90.0288.92GameMapMovie
6.92%0.47%0.43%
Restaurant86.5488.35MapShoppingTransportation
4.31%2.84%1.14%
Recipe97.1498.15RestaurantInformationMap
0.43%0.24%0.14%
Shopping86.2588.75MapRestaurantHospital
3.99%2.71%1.04%
Weather97.9099.20NewsInformationCheck schedule
0.14%0.14%0.14%
Hospital95.5594.92ShoppingMapRestaurant
1.28%1.05%0.81%
Wikipedia83.0578.63InformationNewsMusic
7.98%3.32%1.85%
Information82.5183.88WikipediaMusicBook
5.61%1.24%1.14%
Call98.5798.34GreetingLoveMovie
0.48%0.24%0.14%
E-mail99.3899.19CallDispraiseMemo
0.14%0.14%0.10%
Camera98.1698.72PhotoAppsMovie
0.24%0.19%0.14%
Check schedule90.6092.97ScheduleBoredomMemo
4.66%0.48%0.38%
Schedule93.4391.35Check scheduleMemoTimer
6.51%0.90%0.14%
Memo97.5797.29ScheduleE-mailTimer
0.62%0.29%0.24%
Timer97.5998.24AlarmMemoInformation
0.76%0.24%0.14%
Alarm98.3898.38TimerGreetingMovie
0.90%0.24%0.14%
Music player91.2396.28MusicTimerLove
2.62%0.14%0.14%
SNS98.6996.36NewsMovieWikipedia
1.09%0.57%0.43%
Greeting93.8792.14DispraiseCheck schedulePraise
1.51%1.11%1.00%
Praise89.1289.52DispraiseLoveRestaurant
2.79%1.95%1.06%
Dispraise84.0083.48BoredomPraiseShopping
3.29%3.07%1.79%
Boredom89.7684.14DispraiseGameGreeting
4.80%2.79%1.45%
Love92.4088.27PraiseDispraiseBoredom
4.41%2.12%1.68%

Accuracy of our classifier (in terms of precision and recall) is promisingly high ranging from up to .