From fea72d7910b63e4c7fdbecfb4ba2164244b0ab2c Mon Sep 17 00:00:00 2001
From: Mohamed Sebabti <mohamed.sebabti.etu@univ-lille.fr>
Date: Sun, 2 Mar 2025 20:43:36 +0100
Subject: [PATCH] model rn
---
model_rn.txt | 90 ++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 90 insertions(+)
diff --git a/model_rn.txt b/model_rn.txt
index 106efa3..861ae80 100644
--- a/model_rn.txt
+++ b/model_rn.txt
@@ -403,3 +403,93 @@ Fitting 3 folds for each of 48 candidates, totalling 144 fits
ret = a @ b
/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_base.py:127: RuntimeWarning: invalid value encountered in multiply
delta *= 1 - Z**2
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.
+ warnings.warn(
+[CV] END activation=tanh, hidden_layer_sizes=(100, 100), learning_rate_init=0.1, max_iter=500, solver=sgd; total time= 3.0min
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/numpy/_core/_methods.py:135: RuntimeWarning: overflow encountered in reduce
+ ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_base.py:172: RuntimeWarning: overflow encountered in square
+ return ((y_true - y_pred) ** 2).mean() / 2
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/utils/extmath.py:203: RuntimeWarning: overflow encountered in matmul
+ ret = a @ b
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_base.py:127: RuntimeWarning: invalid value encountered in multiply
+ delta *= 1 - Z**2
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.
+ warnings.warn(
+[CV] END activation=tanh, hidden_layer_sizes=(100, 100), learning_rate_init=0.1, max_iter=500, solver=sgd; total time= 3.0min
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:528: FitFailedWarning:
+21 fits failed out of a total of 144.
+The score on these train-test partitions for these parameters will be set to nan.
+If these failures are not expected, you can try to debug them by setting error_score='raise'.
+
+Below are more details about the failures:
+--------------------------------------------------------------------------------
+21 fits failed with the following error:
+Traceback (most recent call last):
+ File "/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 866, in _fit_and_score
+ estimator.fit(X_train, y_train, **fit_params)
+ File "/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/base.py", line 1389, in wrapper
+ return fit_method(estimator, *args, **kwargs)
+ File "/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py", line 754, in fit
+ return self._fit(X, y, incremental=False)
+ File "/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py", line 496, in _fit
+ raise ValueError(
+ValueError: Solver produced non-finite parameter weights. The input data may contain large values and need to be preprocessed.
+
+ warnings.warn(some_fits_failed_message, FitFailedWarning)
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/model_selection/_search.py:1108: UserWarning: One or more of the test scores are non-finite: [ 0.54900442 0.55026229 0.55175494 0.54449637 0.54619006 nan
+ 0.55486645 0.55397549 0.5576357 nan 0.54283811 nan
+ 0.5408644 0.50266413 0.49902525 0.17836774 0.54044313 -0.00213426
+ 0.51490498 0.44610184 0.47578625 nan 0.53347605 nan
+ 0.55993497 0.5530103 0.55283927 0.5452355 0.52950521 0.20815397
+ 0.55149549 0.54391725 0.5429399 0.53528469 0.53307444 nan
+ 0.49646465 0.48566926 0.51478239 0.54206741 0.49009549 nan
+ 0.48790796 0.40424641 0.4902751 0.53533079 0.48903065 nan]
+ warnings.warn(
+/home/mohamed.sebabti/.local/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (500) reached and the optimization hasn't converged yet.
+ warnings.warn(
+Meilleurs paramètres : {'activation': 'tanh', 'hidden_layer_sizes': (50,), 'learning_rate_init': 0.001, 'max_iter': 500, 'solver': 'adam'}
+📊 MLPRegressor Optimisé - MAE: 9.16, RMSE: 12.46, R²: 0.578
+ id ... pred_mlp
+0 7pQSmQ0l7QdBeL9X6CEMbH ... NaN
+1 2LcJoQ5SDUZrC2qUjWMEdF ... NaN
+2 6RzHyUtRNARYyn2AIuoLnY ... NaN
+3 6Kd0I5es8911FZpYhFS053 ... NaN
+4 0IhY390qx5QJEnRXpeuEwq ... NaN
+5 1e7M98usgS7tK89PoEbqpz ... NaN
+6 7mZwaEEaHSeTYC2hTAjUki ... NaN
+7 0uzPDHGV0ZAjk8wLlryt7C ... NaN
+8 45t91j2BnZBTBtechHEdEo ... 38.985588
+9 0CIRYGtFan5C3t1udR9A2p ... NaN
+10 4qgBYQNjvnuwxp9a68LG0t ... NaN
+11 3PHtZBkUc9dDxnaVH9lpTd ... NaN
+12 0PFRTA04YOjj4VT3O6MpgP ... NaN
+13 1uRKT2LRANv4baowBWHfDS ... NaN
+14 6OgG8LnH5gjxlOmBrogYo5 ... NaN
+15 3UT1XINeKNAmRyaCHWBOVt ... NaN
+16 1ckIrPqEU43EltNMg8HzlV ... NaN
+17 4ZHPfdvTgCDGIeP8fAUVpG ... NaN
+18 5U1cEuyrUubzj5gc5T7uND ... NaN
+19 0RbSPGMjoqjO0GjPFozPkY ... NaN
+20 0Cwl389eg6mvLxcaAbV24Z ... NaN
+21 0W18O5YKX34dnMqN8MQFfK ... NaN
+22 5hNX9VwbZXJ29NW79dDeDz ... NaN
+23 3RDMd9JiKdVik8zjGhZ0wJ ... NaN
+24 7MER2sjr6GgSohO2vpNO2g ... NaN
+25 7GDciQOihRs8nQFEFOrc5K ... NaN
+26 24ejNAm1vGCiaB9GBLos4n ... NaN
+27 1oXJHuq86np471uQGQjfqg ... NaN
+28 3jfdw2ubsW6gUXrf8MAggA ... NaN
+29 0awP7BRdUvnzBCaU9YOpiJ ... NaN
+30 3vsv5Rj6zpoIvzl8ciwIpd ... NaN
+31 15CxpYrIBCl3PX2sVdgDzw ... NaN
+32 6vAyOOwgDTH5LCLY2glRTl ... NaN
+33 7JZUD0GPmCKtY5XJWL0dJl ... NaN
+34 3Wqq9SNrWfdQWqQg4xeYLo ... NaN
+35 3ZgQhe1Sv7mnQjpVTJnOFp ... NaN
+36 6IEjcFyfMHwQbe26jLojUj ... NaN
+37 5jkjpSsMOfsxgdGScPZVq2 ... NaN
+38 42alprYTLPWivGUUbuR4dD ... NaN
+39 7C8FT11joTPgBCsoDqG735 ... 30.940608
+
+[40 rows x 28 columns]
--
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