import NNC
import Plotting
import pandas as pd
#%%
Plotting.Plot()
#%%
print ("1 feature")
l1 = Classification.LogReg(2,3)
l2 = Classification.SVM(2,3)
l3 = Classification.DTC(2,3)
l4 = Classification.KNC(2,3)
l5 = Classification.RFC(2,3)
l6 = Classification.MLP(2,3)
l7 = Classification.ABC(2,3)
l8 = Classification.GNB(2,3)
l9 = Classification.QDA(2,3)
l10 = Classification.SGD(2,3)
l11= NNC.NNC(2,3)
df1 = pd.DataFrame(data = {"LogReg": l1, "SVM": l2, "DTC": l3, "KNC": l4, "RFC": l5,"MLP": l6,
"ABC": l7, "GNB": l8, "QDA": l9, "SGD": l10, "NNC":l11}, index = [".9", ".8", ".5", ".25"])
print(df1)
#%%
print ("9 features")
m1 = Classification.LogReg(2,11)
m2 = Classification.SVM(2,11)
m3 = Classification.DTC(2,11)
m4 = Classification.KNC(2,11)
m5 = Classification.RFC(2,11)
