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17 lines
482 B
Python
17 lines
482 B
Python
from matplotlib import pyplot as plt
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variance = [1, 2, 4, 8, 16, 32, 64, 128, 256]
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bias_squared = [256, 128, 64, 32, 16, 8, 4, 2, 1]
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total_error = [x + y for x, y in zip(variance, bias_squared)]
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xs = range(0, len(variance))
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plt.plot(xs, variance, "g-", label="variance")
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plt.plot(xs, bias_squared, "r-", label="bias squared")
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plt.plot(xs, total_error, "b:", label="total error")
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plt.legend(loc=9)
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plt.xlabel("mode complixity")
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plt.title("The Bias-Variance Tradeoff")
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plt.show()
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