[Retracted] Rapid Identification of Tobacco Mildew Based on Random Forest Algorithm

<table class="table-group" id="tab11"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Unmodified samples</td><td class="align_center">Adjacent moldy samples</td><td class="align_center">Moldy samples</td><td class="align_center">Total</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Number of test set samples</td><td class="align_center">183</td><td class="align_center">34</td><td class="align_center">170</td><td class="align_center">387</td></tr><tr><td class="align_left">Accurately predict the number of samples</td><td class="align_center">175</td><td class="align_center">31</td><td class="align_center">161</td><td class="align_center">367</td></tr><tr><td class="align_left">Correct prediction rate/%</td><td class="align_center">95.63</td><td class="align_center">91.18</td><td class="align_center">94.71</td><td class="align_center">94.84</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Prediction results of test set based on [cd4, cd5] random forest model.</div>

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tab11

Table 11

Table 11: [Retracted] Rapid Identification of Tobacco Mildew Based on Random Forest Algorithm 