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Table 2 Comparison among algorithms performances on the six driving cycles

From: On combining Big Data and machine learning to support eco-driving behaviours

Path

MLP

LR

KNN

CART

SVR

AB

GBM

RF

1

0.944

0.960

0.774

0.639

0.982

0.991

0.980

0.911

2

0.889

0.841

0.718

0.668

0.782

0.861

0.868

0.802

3

0.764

0.746

0.690

0.635

0.756

0.779

0.797

0.741

4

0.719

0.760

0.628

0.499

0.796

0.834

0.805

0.596

5

0.923

0.904

0.790

0.640

0.864

0.932

0.935

0.859

6

0.891

0.830

0.733

0.711

0.840

0.875

0.899

0.847

avg

0.855

0.840

0.722

0.632

0.837

0.879

0.881

0.793