结论,如果单变量线性回归,则使用 R-squared评估,多变量,则使用adjusted R-squared。 在单变量线性回归中,R-squared和adjusted R-squared是一致的。 另外,如果增加更多无意义的变量,则 R-squared 和adjusted R-squared之间的差距会越来越大,Adjusted R-squared会下降。但是如果加入的特征值是显著的,则adjusted R-squ...
Adjusted R-Square 抵消样本数量对 R-Square的影响,做到了真正的 0~1,越大越好。 python中可以直接调用 from sklearn.metrics import mean_squared_error #均方误差 from sklearn.metrics import mean_absolute_error #平方绝对误差 from sklearn.metrics import r2_score#R square #调用 MSE:mean_squared_error(...
2. 校准决定系数Adjusted-R2 3.均方误差MSE(Mean Square Error) 4.均方根误差RMSE(Root Mean Square Error) 5.平均绝对误差MAE(Mean Absolute Error) 6. 平均绝对百分比误差MAPE(Mean Absolute Percentage Error) 回归模型评估的两个...
Fusion oncoproteins, a class of chimeric proteins arising from chromosomal translocations, are major drivers of various pediatric cancers. These proteins are intrinsically disordered and lack druggable pockets, making them highly challenging therapeutic
All statistical analyses were performed on Python3, R version 4.3.2, and EmpowerStats (V5.0). A two-tailed p-value less than 0.05 was set as the standard of statistical significance. Machine learning pipeline In this study, we conduct a machine learning analysis in our study to address a ...
R-squared (R2): This is the proportion of the variance in the target variable explained by the model: 𝑅2=1−∑𝑛𝑖=1(𝑦𝑖−𝑦̂𝑖)2∑𝑛𝑖=1(𝑦𝑖−𝑦̲)2,R2=1−∑i=1n(yi−y^i)2∑i=1n(yi−y¯)2, (33) where 𝑦̲y¯ is the mean ...