Table 6 Details of the BFs obtained from the MARS model.

From: Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash

BFs

MSEs

GCVs

R2 GCVs

Equation

BF1

0.01066

0.02729

0.50702

Max (0, × 1–0.445)

BF2

0.01111

0.02844

0.48619

Max (0, 0.445—× 1)

BF3

0.01179

0.03017

0.45495

Max (0, × 2–0.412)

BF4

0.01573

0.04026

0.27268

Max (0, 0.412—× 2)

BF5

0.00332

0.00849

0.84668

Max (0, × 5 -0.143)

BF6

0.00398

0.01018

0.81602

Max (0, 0.143—× 5)

BF7

0.00726

0.01858

0.66435

BF2 × max (0, × 2 -0.412)

BF8

0.00337

0.00864

0.84399

BF2 × max (0, 0.412—× 2)

BF9

0.00196

0.00502

0.90936

Max (0, × 7 -0.084)

BF10

0.00287

0.00734

0.913734

Max (0, 0.084—× 7)

BF11

0.00243

0.00622

0.92763

BF2 × max (0, × 5 -0.464)

BF12

0.00417

0.01067

0.93719

BF2 × max (0, 0.464—× 5)

BF13

0.00265

0.00677

0.9437

BF1 × max (0, 0.253—× 7)

BF14

0.00235

0.00601

0.9541

BF10 × max (0, × 5 -0.114)

BF15

0.00207

0.00529

0.9642

BF10 × max (0, 0.114—× 5)

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