Description of the dataset used for the machine learning algorithm. حسب Tri Ngo Quang (20390189)

Boxplot with result of evaluation of distribution modelling algorithms using the area under curve (AUC) method. حسب Rafael Pereira (6635264)

Feature selection results from the Boruta algorithm. حسب Junying Wei (1710550)

الموضوعات:

Framework of the machine learning algorithm for single-family housing price. حسب Jaewon Han (8660295)

الموضوعات:

Model classification evaluation indicators under various machine algorithms. حسب Jinlin Teng (17972595)

الموضوعات:

Features selection using the Boruta algorithm. حسب Nishat Tasnim Thity (21755858)

الموضوعات:

Image 9_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Table 1_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.docx حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 10_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 3_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 4_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 8_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 2_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 6_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 5_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 1_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Table 2_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.docx حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

Image 7_Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China.jpeg حسب Junfei Zhang (7547975)

"…Using data from the National Forest Inventory (NFI), plot-level measurements, and environmental variables from pure larch (LP), birch (BP), and mixed larch-birch (LB) forests in the mountainous region of northern Hebei, China, this study employed random forest (RF) algorithms to evaluate the relative importance and partial dependence of biotic and abiotic factors on stand volume growth. …"

TreeMap 2016 Forest Type Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…"

Comparison of model mean accuracy for the effectiveness of the VRA—fluorescence subtraction algorithm over 450 iterations. حسب Tri Ngo Quang (20390189)