# Create a sample 4x4 confusion matrix with some interesting patternsconf_mat=np.array([[85,10,5,0],# High accuracy for class 0 [0,50,30,0],# Some confusion between classes 1 and 2[0,0,0,0],# Empty row representing unused class[0,0,0,100]# Perfect classification for class 3])# Create a figure with two subplots side by sidefig,(ax1,ax2)=plt.subplots(1,2,figsize=(15,6))# Plot traditional heatmap using seabornsns.heatmap(conf_mat,annot=False,fmt="d",cmap="YlGnBu",ax=ax1)ax1.set_title("Normal Heatmap",fontsize=18,color='#4A4A4A')# Medium grayax1.xaxis.set_ticks_position('top')ax1.tick_params(colors='#4A4A4A')# Plot mosaic heatmap using mheatmapmosaic_heatmap(conf_mat,annot=False,fmt="d",cmap="YlGnBu",ax=ax2)ax2.set_title("Mosaic Heatmap",fontsize=18,color='#4A4A4A')# Medium grayax2.xaxis.set_ticks_position('top')ax2.tick_params(colors='#4A4A4A')plt.show()