print('the mean sqare error:%.2f'%np.mean((regr.predict(diabetes_X_test)-diabetes_y_test)**2)) print('Variance score:%.2f'%regr.score(diabetes_X_test,diabetes_y_test)) ##散点图 plt.scatter(diabetes_X_test,diabetes_y_test,color='black') plt.plot(diabetes_X_test,regr.predict(diab...
plt.plot(diabetes_X_test,regr.predict(diabetes_X_test),color='blue',linewidth=3) plt.xticks() plt.yticks() b=time.time() print('the running time is %.2f' %(b-a)) plt.show() 实验结果: Coefficients: [ 938.23786125] Residual sum of squares: 2548.07 Variance score: 0.47the running ...
numpy.sum() numpy.mean() numpy.linspace() numpy.max() matplotlib.pyplot.show() matplotlib.pyplot.title() matplotlib.pyplot.ylabel() matplotlib.pyplot.xlabel() matplotlib.pyplot.plot() matplotlib.pyplot.legend() matplotlib.pyplot.savefig() matplotlib.pyplot.figure() Related Modules...
plt.plot(Loss.index(min(Loss)), min(Loss), color="red", marker="x") plt.text(Loss.index(min(Loss)), min(Loss)+1, s="最优点") plt.show() #主程序 if __name__ == "__main__": #加载数据集 data = load_data() #数据处理 [X, Y, average, variance] = data_dispose(data) ...
Depicted are the first two principal components, explaining > 75% of the variance in the data. Data was power-transformed and standardized before the analysis. B Pair-plot, depicting the pairwise Spearman correlation between each pair of samples, and a histogram of normalized gene expression...
variance = np.var(data)print(f"数据:{data}")print(f"方差:{variance}") 输出结果: 数据: [2, 4, 6, 8, 10]方差: 8.0 方差为8.0,这是标准差(2.83)的平方。 5. 相关系数 相关系数衡量两个变量之间的线性关系强度。它的值在-1到1之间,1表示完全正相关,-1表示完全负相关,0表示无线性相关。
# import regression as lr lr.ridgeTestPlot() # import regression as lr lr.stageWiseTestPlot() from numpy import * # txt 文件数据提取 以TAB键值分割 def loadDataSet(fileName): numFeat = len(open(fileName).readline().split('\t')) - 1 #样本数据维度 最后一个为标签 ...
When using the lineup2() plan, users have reported that the plan appears to run successfully and print a report of the peak statistics. Yet the motor has not been moved to the expected position after lineup2() finishes. The only possible...
The scatter plot below shows the result of price prediction for parts of house with model. Each point on x-axis represents the median of the real price of the same type of house, and the y-axis represents the result of the linear regression model based on the feature prediction. When ...
The scatter plot below shows the result of price prediction for parts of house with model. Each point on x-axis represents the median of the real price of the same type of house, and the y-axis represents the result of the linear regression model based on the feature prediction. When ...