Table 4 Comparison of performance indicators for different models.

From: Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models

Model

Dataset

Accuracy

Precision

Recall

F1 score

AUC ROC

Logistic regression

Aggregated

0.837

0.818

0.711

0.761

0.895

Random forest

Aggregated

0.827

0.833

0.658

0.735

0.854

SVM (kernel rbf)

Aggregated

0.817

0.732

0.789

0.759

0.853

CNN

Heatmap

0.897

0.877

0.833

0.856

0.9294

CNN (concatenated)

Aggregated/Heatmap

0.948

0.939

0.921

0.929

0.989

Back to article page