Add description of model used and ac rate

Readme.md

@@ -5,12 +5,25 @@
 For access of DEAP dataset, please sign EULA and send a request to DEAP team: http://www.eecs.qmul.ac.uk/mmv/datasets/deap/download.html
 
 ## Dependency
-*python >= 3.5
-*numpy
-*pyEEG: https://github.com/forrestbao/pyeeg
-
+* python >= 3.5
+* numpy
+* pyEEG: https://github.com/forrestbao/pyeeg, need manual fix of source code, refers to issue: https://github.com/forrestbao/pyeeg/issues/26
+* scikit-learn
+* tensorflow-gpu
 
 ## ERD/ERS analysis
 Fast Fourier Transformation:
-*Windows size = 2 sec
-*Windows step = 0.125 sec
+* Windows size = 2 sec
+* Windows step = 0.125 sec
+
+## Model attempted
+* Support Vector Machine
+* Adaboost
+* Random Forest
+* Artificial neural network
+
+## Best AC rate of Classification on Arousal, Valence, Domaince, Like dimension
+* Arousal/Not: 82.6%
+* Valence/Not: 83.6%
+* Domaince/Not: 81.9%
+* Like/Not: 85.1%