Figure 3.5 Remaining Service Life

Figure 3.5 Remaining Service Life The figure 3.5 depicts PCR values generated by Kaplan Meier method.
The graph of S(t) versus the t gives the Kaplan-Meier survival curves. Figure 3.6 Life Time of Roads The figure 3.6 depicts the Kaplan – Meier survival curves generated for each PCR threshold by using PCR data and is obtained by plotting the values given in the figure 3.5.

S(t) Years
100-95 15-11 yrs
95-90 11-8 yrs
90-85 8-7 yrs
85-80 7-6 yrs
80-75 6-5 yrs
75-70 5-3yrs
70-65 3-1 yrs
65-60 <1 yr
60 Need to change

Table 3.10 Prediction of Life Time
The table 3.10 depicts the prediction of life time of the roads based on the PCR values. Figure 3.7 Prediction of life time The figure 3.7 depicts the life time of the road in
The precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class). Precision=(Number of true positives)/(Number of false positives+Number of true positives) [3.20]
3.5.2 RECALL Recall defines the rate between the number of crack pixels correctly labelled and the number of crack pixels in the ground
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