Lab 6 - Gnkhakimova/CS5542-BigData_LabAssignments GitHub Wiki

Lab 6

  • Please see the link to google drive for Lab 6, I was unable to push my code due to the size: * https://drive.google.com/open?id=0B2xp_7aavWDsM3FzNjhUbVRjSXc *** 1. Image Annotation**

  • Images of cat, horse and hippo were used for training.

  • Decision Tree model output:

  • 2.0 : (0,58.74439461883408);

  • (1,21.076233183856502);

  • (2,20.179372197309416)

  • 0.0 : (0,94.59124690338564);

  • (1,2.9933938893476464);

  • (2,2.4153592072667216)

  • 1.0 : (0,85.32544378698225);

  • (1,6.627218934911243);

  • (2,8.04733727810651)

  • (0.0,2.0)

  • (0.0,0.0)

  • (0.0,1.0)

  • Accuracy:0.3333333333333333

  • Confusion Matrix:

  • 1.0 0.0 0.0

  • 1.0 0.0 0.0

  • 1.0 0.0 0.0

  • Random Forest Model output:

  • 2.0 : (0,61.43497757847533);

  • (1,18.83408071748879);

  • (2,19.730941704035875)

  • 0.0 : (0,96.63501238645748);

  • (1,2.2295623451692816);

  • (2,1.1354252683732453)

  • 1.0 : (0,90.6508875739645);

  • (1,3.3136094674556213);

  • (2,6.035502958579881)

  • (0.0,2.0)

  • (0.0,0.0)

  • (0.0,1.0) *** Accuracy:**0.3333333333333333

  • Confusion Matrix:

  • 1.0 0.0 0.0

  • 1.0 0.0 0.0

  • 1.0 0.0 0.0

  • Feature Extraction:

Image Classification

  • Android Application:
  • Since I do not have any experience in Android application implementation I was unable to complete this task.