From 2aaec4790013e4b8d1eecf62333bb3d6900c8301 Mon Sep 17 00:00:00 2001
From: "Shekwoyeyilo2.gado@live.uwe.ac.uk" <sarah.y.gado@gmail.com>
Date: Thu, 13 Mar 2025 08:58:06 +0000
Subject: [PATCH] Randomized grids results
---
models.ipynb | 47 ++++++++++++++++++++++++-----------------------
1 file changed, 24 insertions(+), 23 deletions(-)
diff --git a/models.ipynb b/models.ipynb
index 55980ec..1387698 100644
--- a/models.ipynb
+++ b/models.ipynb
@@ -867,7 +867,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
@@ -904,30 +904,31 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 21,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Running RandomizedSearchCV for DecisionTree...\n",
- "Best parameters for DecisionTree: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2}\n",
- "\n",
- "Running RandomizedSearchCV for RandomForest...\n",
- "Best parameters for RandomForest: {'criterion': 'gini', 'max_depth': 50, 'min_samples_leaf': 2, 'min_samples_split': 8, 'n_estimators': 102}\n",
- "\n",
- "Running RandomizedSearchCV for svc...\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "for name, model in models.items():\n",
- " #print(name)\n",
- " print(f\"Running RandomizedSearchCV for {name}...\")\n",
- " random_search = RandomizedSearchCV(model, param_distributions=param_grids[name], cv =kf, n_iter =100, random_state=42, n_jobs=-1)\n",
- " random_search.fit(X_train_scaled, y_train)\n",
- " print(f\"Best parameters for {name}: {random_search.best_params_}\\n\")\n"
+ "# for name, model in models.items():\n",
+ "# #print(name)\n",
+ "# print(f\"Running RandomizedSearchCV for {name}...\")\n",
+ "# random_search = RandomizedSearchCV(model, param_distributions=param_grids[name], cv =kf, n_iter =100, random_state=42, n_jobs=-1)\n",
+ "# random_search.fit(X_train_scaled, y_train)\n",
+ "# print(f\"Best parameters for {name}: {random_search.best_params_}\\n\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "search results: \n",
+ "search results: Running RandomizedSearchCV for DecisionTree...\n",
+ "Best parameters for DecisionTree: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 2}\n",
+ "\n",
+ "Running RandomizedSearchCV for RandomForest...\n",
+ "Best parameters for RandomForest: {'criterion': 'gini', 'max_depth': 50, 'min_samples_leaf': 2, 'min_samples_split': 8, 'n_estimators': 102}\n",
+ "\n",
+ "Running RandomizedSearchCV for svc...\n",
+ "Best parameters for svc: {'kernel': 'rbf', 'gamma': 'auto', 'C': 10}"
]
}
],
--
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