Table 10 SHAP values and LIME explanations.

From: Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques

Feature

SHAP Value (Proposed Model)

SHAP Value (Method3)

SHAP Value (Method8)

SHAP Value (Method15)

LIME Explanation Score (Proposed Model)

Cement Content (kg/m³)

0.18

0.12

0.15

0.14

0.88

Water-Cement Ratio

0.20

0.13

0.17

0.16

0.87

Aggregate Content (kg/m³)

0.19

0.14

0.16

0.15

0.86

Fly Ash Content (kg/m³)

0.25

0.16

0.18

0.20

0.89

Curing Time (days)

0.22

0.15

0.17

0.19

0.88

Environmental Conditions

0.21

0.14

0.16

0.17

0.87

Ultrasonic Pulse Velocity (km/s)

0.23

0.15

0.17

0.18

0.88

Rebound Hammer Test Result

0.24

0.16

0.18

0.19

0.89

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