Goals Accomplished This week:
- The extracted features were initialized.
- The parameters used in SVM were adjusted.
- Random forest was tried.
- The confusion matrices were generated to do comparison between SVM and RF.
- The Principal Components Analysis was used to eliminate the possible of curse of dimensionality.
- Tensorflow neural network was started.
- The multioutputclassifier was used to do the multi task classification in python sklearn.
- Some functions were added on our website.
Goals to be Accomplished Next Week :
- Improve the multi task classification and increase the accuracy of our classification.
- Start the front-end design.
Technical Difficulties:
- It did not show the correlation between several labels in the multioutputclassifier
Weekly Report