# -*- coding: utf-8 -*-
import csv
import pymongo, datetime,bson,time
from numpy import array, dot, random
from Perceptron import Perceptron
from Mongo import Mongo
if __name__ == "__main__":
mongo = Mongo()
myfile = open('result.csv', 'wb')
wr = csv.writer(myfile,delimiter=',', quoting=csv.QUOTE_ALL)
data = mongo.getResults()
i = 0
for row in data:
if i == 0:
wr.writerow(['eta 0.15','','','','','','','',''])
wr.writerow(['Número','positive','negative','false positive','false negative','accuracy','precision','recall','true_negative'])
elif i == 10:
wr.writerow(['eta 0.2','','','','','','','',''])
wr.writerow(['Número','positive','negative','false positive','false negative','accuracy','precision','recall','true_negative'])
elif i == 20:
wr.writerow(['eta 0.3','','','','','','','',''])
wr.writerow(['Número','positive','negative','false positive','false negative','accuracy','precision','recall','true_negative'])
elif i == 30:
wr.writerow(['eta 0.4','','','','','','','',''])
wr.writerow(['Número','positive','negative','false positive','false negative','accuracy','precision','recall','true_negative'])
wr.writerow([int(row['number']),int(row['positive']),int(row['negative']),int(row['false_positive']),int(row['false_negative']),float(row['result']['accuracy']),row['result']['precision'],row['result']['recall'],row['result']['true_negative']])
i+=1
myfile.close()
