## 5 Selection of Attributes, Modeling, and Results

Table 3: Overview of trained regression models and their accuracy metrics for the field-measured values of target variable Sr (soluble fraction of deposit). \begin{table}
\begin{tabular}{c c c c c c} \hline  & **Linear Model** & **Gaussian Process** & **SMO Regression** & **M5P Tree** & **Random Forest** \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, without Day of Year, and without Satellites} \\ \hline Correlation coefficient & \(-0.0888\) & \(0.006\) & \(-0.0239\) & \(0.076\) & \(0.1191\) \\ Relative absolute error & \(1.013206\) & \(1.011356\) & \(0.996436\) & \(1.000262\) & \(1.041810\) \\ Root relative sq. error & \(1.014285\) & \(1.005392\) & \(1.018875\) & \(1.000869\) & \(1.044912\) \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Day of Year without Satellites} \\ \hline Correlation coefficient & \(0.4113\) & \(0.4373\) & \(0.4342\) & \(0.6206\) & \(0.6339\) \\ Relative absolute error & \(0.903762\) & \(0.894292\) & \(0.886614\) & \(0.75594\) & \(0.756144\) \\ Root relative sq. error & \(0.911274\) & \(0.897203\) & \(0.905929\) & \(0.782397\) & \(0.778181\) \\ \hline \multicolumn{5}{c}{Modeling using attributes SHMU, Satellites (FSRF-TEST 20 attr), without Day of Year} \\ \hline Correlation coefficient & \(0.4195\) & \(0.4314\) & \(0.405\) & \(0.3931\) & \(0.4062\) \\ Relative absolute error & \(0.904127\) & \(0.892004\) & \(0.914068\) & \(0.91234\) & \(0.910343\) \\ Root relative sq. error & \(0.908831\) & \(0.899933\) & \(0.919583\) & \(0.925257\) & \(0.924097\) \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Satellites (Refier 10 attr), Day of Year} \\ \hline Correlation coefficient & \(0.2888\) & \(0.323\) & \(0.3305\) & \(0.3005\) & \(0.3698\) \\ Relative absolute error & \(0.947149\) & \(0.919711\) & \(0.804691\) & \(0.937511\) & \(0.866946\) \\ Root relative sq. error & \(0.964184\) & \(0.945773\) & \(0.969808\) & \(0.960605\) & \(0.928711\) \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Satellites (FSRF-TEST 5 attr), Day of Year} \\ \hline Correlation coefficient & \(0.3299\) & \(0.3438\) & \(0.36\) & \(0.3284\) & \(0.3999\) \\ Relative absolute error & \(0.936913\) & \(0.913589\) & \(0.793238\) & \(0.938661\) & \(0.866407\) \\ Root relative sq. error & \(0.945296\) & \(0.937339\) & \(0.965524\) & \(0.945354\) & \(0.921331\) \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Satellites (Refier 10 attr), Day of Year} \\ \hline Correlation coefficient & \(0.2194\) & \(0.2357\) & \(0.2848\) & \(0.2272\) & \(0.3102\) \\ Relative absolute error & \(0.964405\) & \(0.956218\) & \(0.846194\) & \(0.963997\) & \(0.869070\) \\ Root relative sq. error & \(0.986047\) & \(0.975347\) & \(0.987452\) & \(0.988660\) & \(0.949752\) \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Satellites (Refier 5 attr), Day of Year} \\ \hline Correlation coefficient & \(0.2587\) & \(0.2837\) & \(0.309\) & \(0.2601\) & \(0.2705\) \\ Relative absolute error & \(0.957589\) & \(0.94709\) & \(0.826091\) & \(0.961476\) & \(0.897960\) \\ Root relative sq. error & \(0.970585\) & \(0.958345\) & \(0.981613\) & \(0.971070\) & \(0.971982\) \\ \hline \multicolumn{5}{c}{Linear model} & Gaussian process & SMO Regression & M5P Tree & Random forest \\ \hline \end{tabular}
\end{table} 
Table 4: Overview of trained regression models and their accuracy metrics for the field-measured values of target variable g02 (electrical conductivity). \begin{table}
\begin{tabular}{c c c c c} \hline  & **Linear Model** & **Gaussian Process** & **SMO Regression** & **M5P Tree** & **Random Forest** \\ \hline \multicolumn{5}{c}{Models using attributes SHMU, Satellites (Forward selection 20 attr) without Day of Year} \\ \hline Correlation coefficient & \(0.1883\) & \(0.1210\) & \(0.233\) & \(0.1469\) & \(0.1377\) \\ Relative absolute error & \(1.005077\) & \(0.986239\) & \(0.835902\) & \(1.031335\) & \(0.953701\) \\ Root relative sq.