This decision tree was used for mode decision task with different sequences (Hall, City, Foreman, Soccer, Harbor, and Mobile) and classified correctly in about 87% of cases in the first level, 80% in the second level, and 93% in the third level in baseline profile, and 91% of the cases in the first, 84% in the second, and 89% in the third level in main profile, as is shown in Table 1.
The subnetworks in the second level are to connect the subnetworks in the first level and subnetworks in the third level.
The confounding variables gender, age and colour/race are in the first level of the hierarchy; the exposure variables that represent early SEP are in the second level; and the confounding variables that represent adult SEP (education level and income) are in the third level.
The AHP, indeed, consists of decomposing a complex decision making process into a hierarchical structure, with the ultimate goal at the top of the hierarchy, the primary criteria in the second level, and the subcriteria in the third level.
To unlock the elderly Cranky Kong, race him and beat him in the third level (also called the 24th mission).
For the hub gene, the network shows the top 10 co-expressed genes according to the arrangement of MR from small to large in the first level; for the second level, the top five genes that co-expressed with first level genes are selected; and the selection of genes in the third level follows the same rules as for the second level.
The keys that unlock the portals to the second and third levels are found in the first level, the keys that unlock the portal to the fourth level are found in the second level, the keys that unlock the portal to the fifth level are found in the third level, and the keys that unlock the last level are found in the fourth and fifth levels.
In a bank chain structure, the funds from costumers in the form of deposits are collected within the first level and in the second level the deposits from previous level are taken to make profit.
The two-tier approach of Valstar et al. [70] uses in the first level surrounding image information to predict landmark location via support vector regression (SVR), and in the second level, the global shape information via a Markov Network.
In the fifth level, women with intermediate or inadequate quality of antenatal care presented a PR = 2.57 and in the sixth level, mothers with weight gain of 10 kg or more had a probability of LBW recurrence almost 100% smaller than that of women gaining less than 7 kg during pregnancy.
