plt.draw()
plt.savefig("docs/charts/logarithmic.svg")
plt.clf()
y_axis_data = []
for probability in probabilities:
y_axis_data.append(practical_score(probability))
plt.plot(x_axis_data, y_axis_data)
plt.xlabel("Probability assigned to correct answer")
plt.ylabel("Practical score")
plt.title("Practical score for probabilities 1 % - 99 %")
plt.draw()
plt.savefig("docs/charts/practical.svg")
plt.clf()
y_axis_data = []
for probability in probabilities:
y_axis_data.append(quadratic_score(probability))
plt.plot(x_axis_data, y_axis_data)
plt.xlabel("Probability assigned to correct answer")
plt.ylabel("Quadratic score")
plt.title("Quadratic score for probabilities 1 % - 99 %")
plt.draw()
plt.savefig("docs/charts/quadratic.svg")
def test_100_percent(self):
assert quadratic_score(1) == 1
def test_80_percent(self):
assert quadratic_score(0.80) == Decimal("0.92")
def test_50_percent(self):
assert quadratic_score(0.50) == 0.5
def test_20_percent(self):
assert quadratic_score(0.20) == Decimal("-0.28")
def test_0_percent(self):
assert quadratic_score(0.0) == -1