Research Article
Evaluation of Several Machine Learning Models for Field Canal Improvement Project Cost Prediction
Table 2
The statistical properties of the dataset selected for the testing modeling phase.
| | Parameter | C | D | | | | | | | Parameter name | Cost of FCIP | Duration of FCIP construction | Area served | Total length of PVC pipeline | Number of irrigation values | Construction year | Geographical zone | | Unit | LE/FCIP | Day | Hectare | Meter | Number | Year | Zone |
| | Mean | 352714.35 | 77.00 | 48.46 | 807.57 | 8.41 | 2013.23 | 1.29 | | Standard error | 7469.77 | 0.81 | 1.24 | 27.65 | 0.26 | 0.09 | 0.05 | | Median | 318652.92 | 76.00 | 45.68 | 720.82 | 7.46 | 2014.00 | 2.00 | | Mode | 201587.44 | 66.00 | 51.00 | 630.00 | 5.00 | 2014.00 | 2.00 | | Standard deviation | 112791.09 | 12.19 | 18.79 | 417.58 | 3.96 | 1.41 | 0.79 | | Sample variance | 12721830134.86 | 148.62 | 352.92 | 174372.83 | 15.71 | 1.99 | 0.63 | | Kurtosis | 0.05 | 2.09 | 0.21 | 0.06 | 6.34 | 0.12 | −1.18 | | Skewness | 0.88 | 1.22 | 0.84 | 0.76 | 1.72 | −1.14 | −0.58 | | Range | 503217.10 | 67.00 | 86.00 | 1916.15 | 27.87 | 5.00 | 2.00 | | Minimum | 198035.54 | 59.00 | 19.00 | 119.00 | 1.02 | 2010.00 | 0.00 | | Maximum | 701252.64 | 126.00 | 105.00 | 2035.15 | 28.89 | 2015.00 | 2.00 | | Sum | 80418872.53 | 17556.00 | 11049.13 | 184125.65 | 1917.50 | 459016.00 | 295.00 | | Count | 228.00 | 228.00 | 228.00 | 228.00 | 228.00 | 228.00 | 228.00 | | Confidence level (95.0%) | 14718.96 | 1.59 | 2.45 | 54.49 | 0.52 | 0.18 | 0.10 |
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