23 lines
573 B
Python
23 lines
573 B
Python
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from sklearn.metrics import accuracy_score
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import pandas as pd
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from matplotlib import pyplot as plt
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import numpy as np
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test_data = pd.read_csv("out.csv")
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y_true = test_data["OFFENSE_CODE_GROUP"]
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y_pred = test_data["PREDICTED"]
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accuracy = accuracy_score(y_true, y_pred)
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with open("eval_results.csv", "a", encoding="utf-8") as f:
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f.write(f"{accuracy}\n")
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eval_results = pd.read_csv("eval_results.csv", header=None).values
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plt.plot(np.arange(len(eval_results)), eval_results)
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plt.xlabel("Build")
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plt.ylabel("Accuracy")
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plt.savefig("plot.png")
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