# Impact of Dataset Size on Classification Performance:
## 5 Conclusions
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Classifiers**} & \multicolumn{1}{c}{**Abs**} & \multicolumn{1}{c}{**RF**} & \multicolumn{1}{c}{**NN**} & \multicolumn{1}{c}{**DT**} & \multicolumn{1}{c}{**NB**} & \multicolumn{1}{c}{**SVM**} & \multicolumn{1}{c}{**Avg.**} & \multicolumn{1}{c}{**Std. Dev.**} \\ \hline DS1 & 99.00\% & 99.00\% & 99.00\% & 99.00\% & 98.90\% & 99.00\% & 98.98\% & 0.000 \\ \hline DS2 & 83.10\% & 79.20\% & 82.20\% & 83.40\% & 82.50\% & 79.30\% & 81.62\% & 0.016 \\ \hline DS3 & 94.90\% & 94.80\% & 94.90\% & 96.10\% & 88.50\% & 96.00\% & 94.20\% & 0.024 \\ \hline DS4 & 70.30\% & 69.40\% & 69.80\% & 65.50\% & 55.70\% & 71.30\% & 67.00\% & 0.050 \\ \hline DS5 & 85.10\% & 83.80\% & 81.10\% & 84.50\% & 78.50\% & 84.90\% & 82.98\% & 0.022 \\ \hline DS6 & 64.50\% & 65.80\% & 79.50\% & 84.20\% & 85.40\% & 86.00\% & 77.57\% & 0.084 \\ \hline DS7 & 73.20\% & 67.30\% & 72.90\% & 71.90\% & 74.80\% & 73.50\% & 72.27\% & 0.022 \\ \hline DS8 & 99.00\% & 99.00\% & 99.00\% & 99.00\% & 99.70\% & 99.00\% & **99.12\%** & 0.002 \\ \hline DS9 & 82.90\% & 80.70\% & 78.40\% & 74.70\% & 66.50\% & 79.60\% & 77.13\% & 0.050 \\ \hline DS10 & 73.70\% & 80.80\% & 73.20\% & 73.70\% & 67.20\% & 76.80\% & 74.23\% & 0.038 \\ \hline DS11 & 63.20\% & 72.90\% & 66.50\% & 65.80\% & 68.40\% & 69.00\% & 67.63\% & 0.028 \\ \hline DS12 & 75.00\% & 74.10\% & 65.50\% & 69.00\% & 60.30\% & 66.40\% & 68.38\% & 0.047 \\ \hline DS13 & 40.60\% & 94.30\% & 96.20\% & 95.30\% & 94.30\% & 64.20\% & 80.82\% & 0.197 \\ \hline DS14 & 99.00\% & 99.00\% & 94.20\% & 99.00\% & 99.00\% & 91.30\% & 96.92\% & 0.028 \\ \hline DS15 & 88.00\% & 86.00\% & 90.00\% & 85.00\% & 88.00\% & 88.00\% & 87.50\% & 0.015 \\ \hline DS16 & 85.60\% & 85.60\% & 81.10\% & 82.20\% & 76.70\% & 78.90\% & 81.68\% & 0.030 \\ \hline DS17 & 90.00\% & 93.30\% & 87.80\% & 93.30\% & 83.30\% & 87.80\% & 89.25\% & 0.032 \\ \hline DS18 & 58.80\% & 57.50\% & 58.80\% & 67.50\% & 67.50\% & 60.00\% & **61.68\%** & 0.039 \\ \hline Avg. & 79.22\% & 82.36\% & 81.67\% & 82.73\% & 79.73\% & 80.61\% & & \\ \hline Std. Dev. & 0.154 & 0.123 & 0.120 & 0.118 & 0.132 & 0.115 & & \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Recall of classifiers trained on small datasets. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Classifiers**} & \multicolumn{1}{c}{**Abs**} & \multicolumn{1}{c}{**RF**} & \multicolumn{1}{c}{**NN**} & \multicolumn{1}{c}{**DT**} & \multicolumn{1}{c}{**NB**} & \multicolumn{1}{c}{**SVM**} & \multicolumn{1}{c}{**Avg. **} & \multicolumn{1}{c}{**Std. Dev. **} \\ \hline DS1 & 99.00\% & 99.00\% & 99.00\% & 99.00\% & 98.90\% & 99.00\% & 98.98\% & 0.000 \\ \hline DS2 & 83.10\% & 79.20\% & 82.20\% & 83.40\% & 82.50\% & 79.30\% & 81.62\% & 0.016 \\ \hline DS3 & 94.90\% & 94.80\% & 94.90\% & 96.10\% & 88.50\% & 96.00\% & 94.20\% & 0.024 \\ \hline DS4 & 70.30\% & 69.40\% & 69.80\% & 65.50\% & 55.70\% & 71.30\% & 67.00\% & 0.050 \\ \hline DS5 & 85.10\% & 83.80\% & 81 \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Classifiers**} & \multicolumn{1}{c}{**Classifiers**} & \multicolumn{1}{c}{**Std. Dev.**} \\ \hline
**Datasets** & **AB** & **RF** & **NN** & **DT** & **NB** & **SVM** & **Avg.** & **Std. Dev.** \\ \hline DS1 & 99.00\% & 99.00\% & 99.00\% & 99.00\% & 99.90\% & 99.00\% & 99.15\% & 0.00 \\ \hline DS2 & 89.50\% & 86.70\% & 88.30\% & 86.90\% & 90.00\% & 79.40\% & 86.80\% & 0.04 \\ \hline DS3 & 92.20\% & 96.30\% & 91.20\% & 81.70\% & 85.60\% & 92.70\% & 89.95\% & 0.05 \\ \hline DS4 & 67.70\% & 73.80\% & 72.70\% & 58.50\% & 72.70\% & 50.00\% & 65.90\% & 0.09 \\ \hline DS5 & 49.00\% & 66.40\% & 56.00\% & 50.20\% & 64.20\% & 49.90\% & 55.95\% & 0.07 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: AUC of classifiers trained on small datasets.