Table 5.
Structure of CART decision tree which is applied for modeling IARR in the very humid, humid, and semi-humid areas in northern Algeria.
| Climate Floor | p-Value | Objects | % | Parent Node | Sons Node | W.B.M * | IARR (W.B.M) | A-Index ** | Q *** |
|---|---|---|---|---|---|---|---|---|---|
| Very humid | 0 | 15 | 100.00% | ||||||
| 0 | 6 | 40.00% | 1 | 2 | Zhang (W = 0.5) | [141.207, 209.585] | [0.772, 0.827] | [772.652, 827.330] | |
| 0 | 5 | 33.33% | 1 | 3 | Zhang (W = 0.5) | [209.585, 275.501] | [0.723, 0.772] | [723.360, 772.652] | |
| 0.031 | 4 | 26.67% | 1 | 4 | Zhang (W = 0.5) | [275.501, 417.300] | [0.627, 0.723] | [627.731, 723.360] | |
| 0 | 2 | 13.33% | 4 | 5 | Sharif | [249.605, 296.940] | [0.684, 0.717] | [684.763, 717.950] | |
| 0 | 2 | 13.33% | 4 | 6 | Sharif | [296.940, 351.434] | [0.648, 0.684] | [648.441, 684.763] | |
| 0.0225 | 11 | 100.00% | |||||||
| 0.0033 | 7 | 63.64% | 1 | 2 | Schreiber | [67.956, 98.557] | [0.835, 0.860] | [835.011, 860.960] | |
| Humid | 0 | 4 | 36.36% | 1 | 3 | Schreiber | [98.557, 106.253] | [0.828, 0.835] | [828.610, 835.011] |
| 0 | 5 | 45.45% | 2 | 4 | Yang (n = 1.5) | [102.302, 111.657] | [0.844, 0.852] | [844.450, 852.380] | |
| 0 | 2 | 18.18% | 2 | 5 | Yang (n = 1.5) | [111.657, 123.606] | [0.834, 0.844] | [834.420, 844.450] | |
| Semi-humid | 0 | 15 | 100.00% | ||||||
| 0 | 2 | 13.33% | 1 | 2 | Schreiber | [32.268, 38.265] | [0.943, 0.948] | [943.020, 948.690] | |
| 0 | 6 | 40.00% | 1 | 3 | Schreiber | [38.265, 57.529] | [0.925, 0.943] | [925.021, 943.020] | |
| 0 | 5 | 33.33% | 1 | 4 | Schreiber | [57.529, 68.321] | [0.915, 0.925] | [915.091, 925.021] | |
| 0 | 2 | 13.33% | 1 | 5 | Schreiber | [68.321, 76.457] | [0.907, 0.915] | [907.670, 915.091] |
* Water balance model (W.B.M). ** A_Index= IAEa/IAR. *** Q = (A_Index) × 103.