Summary of 3_Linear

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Linear Regression (Linear)

Validation

Optimized metric

rmse

Training time

3.7 seconds

Metric details:

Metric Score
MAE 12.9427
MSE 1165.05
RMSE 34.1329
R2 0.946339

Learning curves

Learning curves

Coefficients

feature Learner_1
Ind 3.84143e+11
Log_70_90 0.711794
Men_mais 0.709293
Log_45_70 0.612752
Men 0.605774
Log_ap90 0.455164
Men_coll 0.399937
Log_av45 0.333267
Men_fmp 0.0969623
I_pauv 0.0347448
Men_1ind 0.0149348
t_maille 0.0128517
intercept -1.07085e-05
Log_inc -0.0290092
Men_5ind -0.0356388
Men_surf -0.216941
Ind_snv -0.218936
Men_pauv -0.356456
Men_prop -2.48076
Ind_inc -9.06301e+09
Ind_4_5 -9.56827e+09
Ind_0_3 -1.84451e+10
Ind_18_24 -2.23668e+10
Ind_6_10 -2.33952e+10
Ind_80p -2.44123e+10
Ind_11_17 -3.23746e+10
Ind_55_64 -4.92238e+10
Ind_65_79 -5.48036e+10
Ind_25_39 -7.29627e+10
Ind_40_54 -7.69848e+10

Permutation-based Importance

Permutation-based Importance

SHAP Importance

SHAP Importance

SHAP Dependence plots

Dependence (Fold 1)

SHAP Dependence from Fold 1

SHAP Decision plots

Top-10 Worst decisions (Fold 1)

SHAP worst decisions from fold 1

Top-10 Best decisions (Fold 1)

SHAP best decisions from fold 1

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