Simple Python AI Learning Code.txt

import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression

# Create a matrix with 1000 observations and 7 variables--I think here is where you read in the data file, saving it in a data frame called "data". What follows seems to generate the matrix artificially.
data = np.random.rand(1000, 7)

# Split the data into a training set and a test set
training_set, test_set = train_test_split(data, test_size=0.2)

# Train the AI model on the training set
model = LogisticRegression()
model.fit(training_set[:, 2:], training_set[:, 1])

# Evaluate the AI model on the test set
predictions = model.predict_proba(test_set[:, 2:])

# Calculate the accuracy of the model
accuracy = np.mean(predictions[:, 1] >= 0.5)

print("Accuracy:", accuracy)