mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-17 00:15:55 +00:00
Add stdev to exreport
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@@ -410,10 +410,16 @@ class Benchmark:
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for record in data["results"]:
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dataset = record["dataset"]
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if (model, dataset) in results:
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if record["accuracy"] > results[model, dataset]:
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results[model, dataset] = record["accuracy"]
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if record["accuracy"] > results[model, dataset][0]:
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results[model, dataset] = (
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record["accuracy"],
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record["accuracy_std"],
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)
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else:
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results[model, dataset] = record["accuracy"]
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results[model, dataset] = (
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record["accuracy"],
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record["accuracy_std"],
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)
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@staticmethod
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def compile_results():
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@@ -431,9 +437,9 @@ class Benchmark:
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Benchmark._process_dataset(results, data)
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with open(result_file_name, "w") as f:
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f.write("classifier, dataset, accuracy\n")
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for (model, dataset), accuracy in results.items():
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f.write(f"{model}, {dataset}, {accuracy}\n")
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f.write("classifier, dataset, accuracy, stdev\n")
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for (model, dataset), (accuracy, stdev) in results.items():
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f.write(f"{model}, {dataset}, {accuracy}, {stdev}\n")
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@staticmethod
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def exreport():
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@@ -486,10 +492,10 @@ class Benchmark:
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data = f.read().splitlines()
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data = data[1:]
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for line in data:
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model, dataset, accuracy = line.split(", ")
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model, dataset, accuracy, stdev = line.split(", ")
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if model not in results:
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results[model] = {}
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results[model][dataset] = accuracy
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results[model][dataset] = (accuracy, stdev)
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return results
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def show(results):
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@@ -497,13 +503,14 @@ class Benchmark:
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print(f"{'Dataset':30s} ", end="")
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lines = "=" * 30 + " "
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for model in results:
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print(f"{model:9s} ", end="")
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lines += "=" * 9 + " "
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print(f"{model:^13s} ", end="")
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lines += "=" * 13 + " "
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print(f"\n{lines}")
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for dataset, _ in datasets.items():
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print(f"{dataset:30s} ", end="")
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for model in results:
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print(f"{float(results[model][dataset]):.7f} ", end="")
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print(f"{float(results[model][dataset][0]):.5f}±", end="")
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print(f"{float(results[model][dataset][1]):.3f} ", end="")
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print("")
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show(build())
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