Benchmark Data Analysis

If the plots generated in BenchmarkManager.visualize_results are not sufficient, a more thorough analysis of the benchmark experiment should be run with a tool of your choice using the generated results in the results.json file. This file is stored in a dedicated location in the benchmark_runs directory. The name of the location starts with the name of the application evaluated in the benchmark and ends with the timestamp of the experiment. Below is a simple example of how to load the JSON file into a pandas DataFrame, which can be used for further analysis.

Python Example

import json

# Load the results
filename = "benchmark_runs/tsp-2024-10-09-15-07-11/results.json"
with open(filename) as f:

    results = json.load(f)