这里 fig = plt.figure (figsize= (8, 5)) 等价于你选了一张 8 英寸宽、5 英寸高的画布； ax = fig.add_subplot (111) 表示把画布分割成 1 行 1 列，取第 1 个区域作为画框。 之后所有绘图指令都通过 ax 这个对象发出。

AHP_WEIGHTS = np.array([0.0868, 0.0893, 0.3465, 0.3127, 0.1328, 0.0318]) # 3. Uzman Karar Matrisi (6 Alternatif x 6 Kriter) DECISION_MATRIX = np.array([ [3.4, 4.8, 4. ...

The most important features are failures (0.274), absences_capped (0.163) and freetime (0.111). With 237 training rows, the lower-ranked features are likely to reflect noise, and importance does not ...