FILENAME_GENUINE = r'C:\Users\andra\Documents\Egyetem\Mesteri\Disszentacio\Project\genuine1_MOBISIG.csv'
FILENAME_FORGERY = r'C:\Users\andra\Documents\Egyetem\Mesteri\Disszentacio\Project\forgery1_MOBISIG.csv'

#Dataset related settings
NR_OF_USERS = 100
NR_OF_GENUINE_SIGS_OF_USER = 25
NR_OF_FORGERY_SIGS_OF_USER = 25

#Random Forest
N_ESTIMATORS_RF = 100
NUM_FOLDS_RF = 10

#OneClassSVM
TRAINING_SAMPLES_SVM = 15

#Measurment settings -> if true, skilled forgery scenario will be executed, if false, random forgery
SKILLED_FORGERY = True

d0d2a193c295a441e387aecae3a1e2b576a6436c
<mask token>

FILENAME_GENUINE = (
    'C:\\Users\\andra\\Documents\\Egyetem\\Mesteri\\Disszentacio\\Project\\genuine1_MOBISIG.csv'
    )
FILENAME_FORGERY = (
    'C:\\Users\\andra\\Documents\\Egyetem\\Mesteri\\Disszentacio\\Project\\forgery1_MOBISIG.csv'
    )
NR_OF_USERS = 100
NR_OF_GENUINE_SIGS_OF_USER = 25
NR_OF_FORGERY_SIGS_OF_USER = 25
N_ESTIMATORS_RF = 100
NUM_FOLDS_RF = 10
TRAINING_SAMPLES_SVM = 15
SKILLED_FORGERY = True

FILENAME_GENUINE = r'C:\Users\andra\Documents\Egyetem\Mesteri\Disszentacio\Project\genuine1_MOBISIG.csv'
FILENAME_FORGERY = r'C:\Users\andra\Documents\Egyetem\Mesteri\Disszentacio\Project\forgery1_MOBISIG.csv'

#Dataset related settings
NR_OF_USERS = 100
NR_OF_GENUINE_SIGS_OF_USER = 25
NR_OF_FORGERY_SIGS_OF_USER = 25

#Random Forest
N_ESTIMATORS_RF = 100
NUM_FOLDS_RF = 10

#OneClassSVM
TRAINING_SAMPLES_SVM = 15

#Measurment settings -> if true, skilled forgery scenario will be executed, if false, random forgery
SKILLED_FORGERY = True
