Plot
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@ -12,7 +12,6 @@ train = pd.read_csv('train.csv')
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test = pd.read_csv('test.csv')
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test = pd.read_csv('test.csv')
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validate = pd.read_csv('validate.csv')
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validate = pd.read_csv('validate.csv')
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# # podział train set
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X_train = train.loc[:, train.columns != 'suicides_no']
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X_train = train.loc[:, train.columns != 'suicides_no']
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y_train = train[['suicides_no']]
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y_train = train[['suicides_no']]
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X_test = test.loc[:, train.columns != 'suicides_no']
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X_test = test.loc[:, train.columns != 'suicides_no']
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@ -36,3 +35,20 @@ error = mean_squared_error(y_test, predictions)
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with open('results.txt', 'a') as f:
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with open('results.txt', 'a') as f:
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f.write(str(error) + "\n")
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f.write(str(error) + "\n")
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with open('results.txt', 'r') as f:
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lines = f.readlines()
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fig = plt.figure(figsize=(10, 5))
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chart = fig.add_subplot()
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chart.set_ylabel("Mean Squared Error")
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chart.set_xlabel("Build number")
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x = np.arange(0, len(lines), 1)
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y = [float(val) for val in lines]
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plt.plot(x, y, "bo")
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plt.savefig("plot.png")
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