Chapter 6: Model Evaluation

Activity 11: Computing Accuracy and Null Accuracy of Neural Network When We Change the Train/Test Split

Solution:

1. Import the required libraries. Load and explore the dataset:

   #import the libraries import numpy as np import pandas as pd

   #Load the Data patient_data=pd.read_csv(“Health_Data.csv”)##use the head function to get a glimpse data patient_data.head()

   The following figure shows the output of the preceding code:

   

   Figure 6.30: A screenshot of the patient readmission dataset

2. Separate the independent and dependent variables. Since column 0, the patient_id column, does not add any value, we discard that column. Columns 1 to 8 are independent variables, and the last column is the dependent variable.

   The following figure shows the output of the preceding code:

   mydata=pd.read_csv(“Health_Data.csv”)X=mydata.iloc[:,1:9]y=mydata.iloc[:,9]

   X.head()

3. Create dummy variables for the categorical variables. Note that the input should all be...