vappiah

import matplotlib.pyplot as plt
import numpy as np
import networkx as nx

nodes = ["1", "2", "3", "4", "5"]

P = nx.Graph()
P.add_nodes_from(nodes)

weighted_edges = [

vappiah

import matplotlib.pyplot as plt
import numpy as np
import networkx as nx

nodes=['1', '2', '3', '4', '5']

P=nx.Graph()
P.add_nodes_from(nodes)

weighted_edges=[('1', '2' ,0.11),('1', '3', 3.1),('1','5',2.25),('4','5',0.25),('2','5',0.2),('2','4',0.22),('2','3',0.2)]

vappiah

import numpy as np
import matplotlib.pyplot as plt
from itertools import cycle

from sklearn import svm, datasets
from sklearn.metrics import roc_curve, auc
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import label_binarize
from sklearn.multiclass import OneVsRestClassifier
from sklearn.metrics import roc_auc_score