X= data
X_data= 'trained.h5'
#Labels
Y_data = X_data[:,(X_data.shape[1]-1)]
#Training Data
X_data = X_data[:,0:(X_data.shape[1]-1)]
x_tr,x_ts,y_tr,y_ts = train_test_split(X_data, Y_data, test_size=0.3,random_state=10)
Error comes '(0,1) range'.format(test_size, n_samples))
ValueError: test_size=0 should be either positive and smaller than the number of samples 0 or a float in the (0,1) range