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Table 8 Predictive accuracy across samples and models

From: Corruption red flags in public procurement: new evidence from Italian calls for tenders

Model

Small model

Large model

Precision

Recall

F measure

Precision

Recall

F measure

A. Verification data

OLS

0.255

0.261

0.258

0.257

0.263

0.260

Lasso

0.245

0.266

0.255

0.246

0.265

0.255

Ridge

0.235

0.270

0.251

0.240

0.271

0.254

Random Forest

0.971

0.808

0.882

1

0.911

0.953

B. Main data

OLS

0.228

0.312

0.264

   

Lasso

0.227

0.313

0.263

   

Ridge

0.225

0.309

0.261

   

Random Forest

0.876

0.453

0.597

   
  1. Note: The measures presented in the table are calculated as follows: Precision = Tp/(Tp + Fp), Recall = Tp/(Tp + Fn), F = 2PrecisionRecall/(Precision + Recall). Where Tp indicates the true positives, Fn indicates the false negatives, and Fp indicates the false positives.