Table 3. Assignment predictions made with the naïve Bayes classifier.
Pine and poplar rust assays | % TP a | % FP a | Accuracy (%) |
---|---|---|---|
Cronartium spp.—41/29b | |||
CRO30 | 92.7 (94.59) | 3.5 (11.72) | 94.3 (91.44) |
CRO46 | 100.0 (99.11) | 0.0 (0.45) | 100.0 (99.33) |
CRO30 + CRO46 | 100.0 (99.86) | 3.5 (2.47) | 98.6 (98.70) |
Cronartium ribicola—64/34b | |||
CRIB65 | 96.9 (99.43) | 5.9 (2.32) | 95.9 (98.56) |
CRIB146 | 100.0 (100.0) | 0.0 (0.69) | 100.0 (99.66) |
CRIB190 | 90.6 (97.95) | 0.0 (0.64) | 93.9 (98.65) |
CRIB65 + CRIB46 | 100.0 (100.0) | 0.0 (0.21) | 100.0 (99.90) |
CRIB65 + CRIB190 | 95.3 (99.86) | 0.0 (0.11) | 96.9 (99.88) |
CRIB146 + CRIB190 | 100.0 (100.0) | 0.0 (0.40) | 100.0 (99.80) |
CRIB65 + CRIB146 + CRIB190 | 100.0 (100.0) | 0.0 (0.14) | 100.0 (99.93) |
Melampsora spp.—105/12b | |||
MEL40 | 92.4 (91.21) | 8.3 (7.85) | 92.3 (91.68) |
MEL100 | 99.1 (99.61) | 0.0 (0.46) | 99.2 (99.57) |
MEL176 | 99.1 (99.12) | 0.0 (0.23) | 99.2 (99.45) |
MEL40 + MEL100 | 99.1 (99.85) | 0.0 (0.69) | 99.2 (99.58) |
MEL40 + MEL176 | 99.1 (99.77) | 0.0 (0.86) | 99.2 (99.45) |
MEL100 + MEL176 | 100.0 (99.99) | 0.0 (0.11) | 100.0 (99.94) |
MEL40 + MEL100 + MEL176 | 100.0 (100.0) | 0.0 (0.39) | 100.0 (99.80) |
Melampsora medusae—67/31b | |||
MM53 | 98.5 (99.10) | 0.0 (0.39) | 99.0 (99.36) |
MM74 | 92.5 (95.04) | 3.2 (3.11) | 93.9 (95.97) |
MM53 + MM74 | 100.0 (99.93) | 0.0 (0.88) | 100.0 (99.52) |
Melampsora larici-populina—91/46b | |||
MLP104 | 100.0 (99.33) | 0.0 (0.39) | 100.0 (99.47) |
MLP133 | 100.0 (98.90) | 0.0 (0.27) | 100.0 (99.31) |
MLP104 + MLP133 | 100.0 (99.98) | 0.0 (0.14) | 100.0 (99.92) |
Values on the left are estimates obtained from the training set and values on the right, in parentheses, are those obtained from resampling. Lines highlighted in bold characters correspond to the best assay or assay combinations, as predicted after the resampling procedure.
aTP: true positive; FP: false positive.
bNumber of samples tested (positives/negatives).