From: Examining characteristics of predictive models with imbalanced big data
Dataset | Learner | Source | df | Sum of squares | Mean squares | F-value | p-value |
---|---|---|---|---|---|---|---|
ECBDL’14 | GBT | F | 2 | 2.28 × 10−4 | 1.14 × 10−4 | 18.37 | 3.18 × 10−6 |
R | 5 | 1.51 | 0.30 | 48719.46 | 7.16 × 10−68 | ||
F:R | 10 | 2.72 × 10−4 | 2.72 × 10−5 | 4.38 | 4.72 × 10−4 | ||
Residuals | 36 | 2.23 × 10−4 | 6.19 × 10−6 | NA | NA | ||
RF | F | 2 | 0.007 | 0.003 | 9650.57 | 7.22 × 10−50 | |
R | 5 | 2.12 | 0.42 | 1195341.43 | 6.92 × 10−93 | ||
F:R | 10 | 0.01 | 6.83 × 10−4 | 1927.47 | 5.37 × 10−46 | ||
Residuals | 36 | 1.28 × 10−5 | 3.54 × 10−7 | NA | NA | ||
LR | F | 2 | 0.002 | 8.07 × 10−4 | 7589.02 | 5.41 × 10−48 | |
R | 5 | 1.47 | 0.29 | 2756163.58 | 2.04 × 10−99 | ||
F:R | 10 | 4.81 × 10−4 | 4.81 × 10−5 | 452.66 | 9.97 × 10−35 | ||
Residuals | 36 | 3.83 × 10−6 | 1.06 × 10−7 | NA | NA | ||
POST | GBT | F | 4 | 2.70 | 0.67 | 13.02 | 1.04 × 10−9 |
R | 5 | 5.17 | 1.03 | 19.96 | 6.31 × 10−17 | ||
F:R | 20 | 2.81 | 0.14 | 2.71 | 1.60 × 10−4 | ||
Residuals | 270 | 13.98 | 0.05 | NA | NA | ||
RF | F | 4 | 5.92 | 1.48 | 100.68 | 2.46 × 10−52 | |
R | 5 | 23.38 | 4.68 | 317.87 | 7.03 × 10−111 | ||
F:R | 20 | 17.03 | 0.85 | 57.90 | 1.95 × 10−85 | ||
Residuals | 270 | 3.97 | 0.02 | NA | NA | ||
LR | F | 4 | 8.11 | 2.03 | 22.84 | 2.89 × 10−16 | |
R | 5 | 5.11 | 1.02 | 11.52 | 4.24 × 10−10 | ||
F:R | 20 | 2.46 | 0.12 | 1.39 | 0.13 | ||
Residuals | 270 | 23.96 | 0.09 | NA | NA |