25 - XGBoost algorithm Data entry and visualization in R
25 - stat-all-no-road.csv
25 - stat-road.csv
26 - PM10-analysis-Kirkuk-XGBoost.zip
26 - XGBoost algorithm Run of train default function
27 - XGBoost algorithm Hyperparameter optimization and plot model tuning
28 - XGBoost algorithm AUC value of ROC plot
29 - XGBoost algorithm Fit optimized model using all inventory observations
30 - XGBoost algorithm Conversion to dataframe and scaling of Raster images
31 - XGBoost algorithm Probability prediction maps production
32 - Levels-key.zip
32 - XGBoost algorithm Classification prediction maps production
33 - NB algorithm ggplot of linearity between target and independents and variables
33 - PM10-analysis-Kirkuk-Naive-Bayes.zip
33 - stat-all-no-road.csv
33 - stat-road.csv
34 - NB algorithm Run of train default function
35 - NB algorithm Hyperparameter optimization AUC of ROC plot & normalized Rasters
36 - Levels-key.zip
36 - NB algorithm Probability and classification prediction maps production
37 - KNN algorithm Run of train function and hyperparameter optimized models
37 - PM10-analysis-Kirkuk-KNN.zip
37 - stat-all-no-road.csv
37 - stat-road.csv
38 - KNN algorithm AUC of ROC and probability and classification prediction maps
38 - Levels-key.zip
39 - PM10-Kirkuk-Random-forest.zip
39 - RF algorithm Data entry and train function using Grid search tuning
39 - stat-all-no-road.csv
39 - stat-road.csv
40 - RF algorithm train function using Random search tuning and AUC of ROC
41 - RF algorithm Scaling and conversion of raster images to dataframe
42 - RF algorithm Probability prediction map
43 - Levels-key.zip
43 - RF algorithm Classification prediction map
44 - Summary and Visualization of 4 algorithms prediction resultant maps in QGIS
