Research Article
The Effectiveness of Feature Selection Method in Solar Power Prediction
Table 9
Paired samples test.
| | Paired differences | |
df |
Sig. (2-tailed) | | Mean | Std. deviation | Std. error mean |
95% confidence interval of the difference | | Lower | Upper |
| Pair 1 | | | | | | | | | Actual data - LMS prediction | −73.37 | 78.62 | 32.09 | −155.88 | 9.14 | −2.28 | 5 | 0.071 | Pair 2 | | | | | | | | | Actual data - MLP prediction | 54.39 | 93.47 | 38.16 | −43.69 | 152.48 | 1.43 | 5 | 0.213 | Pair 3 | | | | | | | | | Actual data - SVM prediction with RBF kernel | 135.04 | 62.63 | 25.57 | 69.31 | 200.76 | 5.28 | 5 | 0.003 | Pair 4 | | | | | | | | | Actual data - SVM prediction with poly kernel | 122.11 | 49.95 | 20.39 | 69.69 | 174.53 | 5.99 | 5 | 0.002 |
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