T85_code/evaluation.ipynb

In [1]:

import pandas as pd

In [2]:

power_eva = pd.read_csv('./发电测试结果.csv')

In [4]:

power_eva.columns = ['real', 'pred']
power_eva['error'] = (power_eva.pred - power_eva.real).apply(abs) / power_eva.real

In [15]:

power_eva.sample(10)

Out[15]:

	real	pred	error
222	0.517443	0.518051	0.001175
54	0.701795	0.671254	0.043519
201	0.539900	0.541033	0.002099
30	0.532658	0.530621	0.003823
124	0.410033	0.420981	0.026701
37	0.390315	0.391309	0.002548
7	0.571029	0.579793	0.015347
232	0.580826	0.579876	0.001635
165	0.352021	0.374194	0.062987
139	0.584566	0.567410	0.029348

In [7]:

heat_eva = pd.read_csv('./供热测试结果.csv')
heat_eva.columns = ['real', 'pred']
heat_eva['error'] = (heat_eva.pred - heat_eva.real).apply(abs) / heat_eva.real

In [9]:

heat_eva.sample(10)

Out[9]:

	real	pred	error
131	0.071626	0.071494	0.001839
256	0.076446	0.069821	0.086672
141	0.067995	0.068865	0.012802
71	0.071438	0.071276	0.002270
284	0.072052	0.071835	0.003018
294	0.075010	0.074507	0.006716
77	0.052603	0.055783	0.060461
96	0.062181	0.063483	0.020932
176	0.077847	0.077317	0.006807
164	0.082962	0.082844	0.001420

In [ ]: