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1
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0 samples did not have response variable data, removing these...
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2
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Data set size: 26 samples with 16 and 10 samples per class
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3
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******************************************************************************
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4
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Building RF model on training set.....
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5
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Performing model tuning: 3 round(s) of 10 fold cross-validation
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6
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******************************************************************************
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7
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Confusion Matrix and Statistics
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8
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9
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Reference
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10
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Prediction active latent
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11
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active 16 4
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12
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latent 0 6
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13
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14
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Accuracy : 0.846
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15
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95% CI : (0.651, 0.956)
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16
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No Information Rate : 0.615
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17
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P-Value [Acc > NIR] : 0.0101
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18
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19
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Kappa : 0.649
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20
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Mcnemar's Test P-Value : 0.1336
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21
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22
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Sensitivity : 1.000
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23
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Specificity : 0.600
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24
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Pos Pred Value : 0.800
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25
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Neg Pred Value : 1.000
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26
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Prevalence : 0.615
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27
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Detection Rate : 0.615
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28
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Detection Prevalence : 0.769
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29
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Balanced Accuracy : 0.800
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30
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31
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'Positive' Class : active
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32
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33
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******************************************************************************
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34
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Cross-validated error rates associated with stepwise reduction of features:
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35
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323 162 81 40 20 10 5 3 1
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36
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0.1923 0.1923 0.2308 0.2692 0.3077 0.2692 0.2308 0.2692 0.4231
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37
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******************************************************************************
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38
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THE TOP 10 MOST IMPORTANT FEATURES WERE:
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39
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predictors MeanDecreaseAccuracy
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40
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X864.947564511897 X864.947564511897 2.583
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41
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X504.306060791016 X504.306060791016 2.521
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42
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X580.308837890625 X580.308837890625 2.477
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43
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X716.28369140625 X716.28369140625 2.452
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44
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X917.193060876571 X917.193060876571 2.388
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45
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X1375.06449869989 X1375.06449869989 2.359
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46
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X468.984405517578 X468.984405517578 2.358
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47
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X482.975708007812 X482.975708007812 2.270
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48
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X940.994222415569 X940.994222415569 2.267
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49
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X686.960811605951 X686.960811605951 2.252
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50
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******************************************************************************
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51
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******************************************************************************
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52
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TRAINING SET classification summary if using the TOP 7 features only
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53
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******************************************************************************
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54
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Feature(s) selected: X864.947564511897
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55
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Feature(s) selected: X504.306060791016
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56
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Feature(s) selected: X580.308837890625
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57
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Feature(s) selected: X716.28369140625
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58
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Feature(s) selected: X917.193060876571
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59
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Feature(s) selected: X1375.06449869989
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60
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Feature(s) selected: X468.984405517578
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61
|
Confusion Matrix and Statistics
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62
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|
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63
|
Reference
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64
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Prediction active latent
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|
65
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active 16 5
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|
66
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latent 0 5
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|
67
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|
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68
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Accuracy : 0.808
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69
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95% CI : (0.606, 0.934)
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70
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No Information Rate : 0.615
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|
71
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P-Value [Acc > NIR] : 0.0308
|
|
72
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|
|
73
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Kappa : 0.552
|
|
74
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Mcnemar's Test P-Value : 0.0736
|
|
75
|
|
|
76
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Sensitivity : 1.000
|
|
77
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Specificity : 0.500
|
|
78
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Pos Pred Value : 0.762
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|
79
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Neg Pred Value : 1.000
|
|
80
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Prevalence : 0.615
|
|
81
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Detection Rate : 0.615
|
|
82
|
Detection Prevalence : 0.808
|
|
83
|
Balanced Accuracy : 0.750
|
|
84
|
|
|
85
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'Positive' Class : active
|
|
86
|
|