SMALL adj

Update dupes calculation in 'predict_dupes.py' by changing the denominator in the scaling factor for CPT_Own_percent_rank from 100 to 90, aiming to further enhance prediction accuracy.

Adjust dupes calculation in 'predict_dupes.py' by modifying the salary scaling factor from 0.96 to 0.98, aiming to enhance prediction accuracy.

ping

contintuing with dupe prediction adj

Remove table display in 'app.py' and adjust dupes calculation in 'predict_dupes.py' to include a new scaling factor for CPT_Own_percent_rank, enhancing prediction accuracy.

ping

Update dupes calculation in 'predict_dupes.py' to adjust the scaling factor for CPT_Own_percent_rank, enhancing the precision of predictions.

Refine dupes calculation in 'predict_dupes.py' by incorporating CPT_Own_percent_rank for improved accuracy in predictions.

printing a check frame

printing check frame

debugging

ping

continuing to adjust dupe predictions

continuing to adjust dupe predictions

Update dupes calculation formula in 'predict_dupes.py' to use salary for scaling instead of max_salary, improving accuracy of predictions.

adjusting dupe prediction formula

Add debug print statements in 'predict_dupes.py' to log key variables during calculation, aiding in the validation of the dupes calculation process.

removing Fanduel specific logic from Predict Dupes

restructuring of own_rank mapping

Add FLEX5 ownership calculations in predict_dupes.py to enhance ownership metrics and improve portfolio analysis.

Refactor predict_dupes.py to remove FLEX5 ownership calculations, simplifying the ownership metrics and improving code clarity.

Add debug print statement for flex rank in predict_dupes.py to enhance troubleshooting capabilities.

Add debug print statement for flex ownerships in predict_dupes.py to assist with troubleshooting

print some debug for showdown

Refactor own_product calculation in predict_dupes.py to remove Contest_Size influence, streamlining the computation of player ownership metrics.

Update dupes calculation in predict_dupes.py by modifying the divisor in the dupes formula from 90 to 120, improving the accuracy of duplicate predictions based on player ownership and contest size.

Refactor own_product calculation in predict_dupes.py to remove Contest_Size dependency, simplifying the computation of player ownership metrics.

Enhance predict_dupes function by adding max_salary parameter for improved salary handling and adjusting sample range slider step in app.py for better user experience.

adjusted own scaling

cleaning up salary subtraction

Update dupes calculation in predict_dupes.py by adjusting salary thresholds from 59700 and 49700 to 60000 and 50000 respectively, enhancing the accuracy of duplicate predictions across different contest sizes.

Refine dupes calculation in predict_dupes.py by updating salary thresholds from 60000 and 50000 to 59700 and 49700 respectively, improving accuracy in duplicate predictions across various contest sizes.

more contest size reductions

REDUCING cONTEST sIZE VARIABLE

ADJUSTED DUPE COUNTS

Update predict_dupes.py functionality

Sort portfolio by 'Dupes' before displaying the top 10 entries in predict_dupes.py to enhance visibility of duplicate player selections.

printing table of predict_dupes

Comment out unnecessary column drops in predict_dupes.py to retain data for potential future use, enhancing flexibility in the duplicate prediction process.

ping

Add 'top_x_presence' calculation to predict_dupes.py for enhanced duplicate prediction accuracy. This new metric counts the presence of top ownership players in the portfolio, refining the dupes calculation by incorporating player ownership dynamics across various contest types.

Update 'own_rank_percentile' calculation in predict_dupes.py to use 'Own' column instead of duplicate count columns. This change enhances the accuracy of the duplicate prediction logic by directly reflecting player ownership rankings in the calculations.

Enhance duplicate prediction logic in predict_dupes.py by introducing 'own_rank_percentile' calculation. This addition improves the accuracy of the dupes calculation by factoring in player ownership rankings, ensuring more precise predictions across different contest types.

Enhance dupes calculation in predict_dupes function by adjusting the Finish_percentile formula to include ownership ratio and Contest_Size, improving the accuracy of duplicate predictions.

Refactor dupes calculation in predict_dupes function to incorporate ownership ratio adjustment based on Contest_Size, enhancing the accuracy of duplicate predictions. Additionally, modify the calculation to use a salary ratio of 50 for improved precision.

Update dupes calculation in predict_dupes function to multiply ownership product by 10, refining the accuracy of duplicate predictions based on ownership metrics and Contest_Size.

Update dupes calculation in predict_dupes function to multiply ownership product by 100, enhancing the accuracy of duplicate predictions based on ownership metrics and Contest_Size.

Refine dupes calculation in predict_dupes function by adjusting the salary ratio from 100 to 50, enhancing the accuracy of duplicate predictions based on ownership metrics and Contest_Size.

Adjust dupes calculation in predict_dupes function by modifying the salary ratio from 100 to 50, further refining the accuracy of duplicate predictions based on ownership metrics and Contest_Size.