Open vinayakumarr opened 6 years ago
I am trying to do 10 fold cross-validation accuracy.......so how to calculate each fold accuracy and average accuracy...
The code is given below
import numpy as np import os from hpelm import ELM
curdir = os.path.dirname(file) pX = os.path.join(curdir, "data/data.txt") pY = os.path.join(curdir, "data/class-labelonehot.txt")
X = np.loadtxt(pX) Y = np.loadtxt(pY)
elm = ELM(21,3) elm.add_neurons(100, "sigm") elm.train(X, Y, "CV", k=10) yytest =elm.predict(X) print(yytest.shape)
I am trying to do 10 fold cross-validation accuracy.......so how to calculate each fold accuracy and average accuracy...
The code is given below
import numpy as np import os from hpelm import ELM
curdir = os.path.dirname(file) pX = os.path.join(curdir, "data/data.txt") pY = os.path.join(curdir, "data/class-labelonehot.txt")
X = np.loadtxt(pX) Y = np.loadtxt(pY)
elm = ELM(21,3) elm.add_neurons(100, "sigm") elm.train(X, Y, "CV", k=10) yytest =elm.predict(X) print(yytest.shape)