mirror of
https://github.com/Doctorado-ML/STree.git
synced 2025-08-15 15:36:00 +00:00
Update version and notebooks
This commit is contained in:
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -66,7 +66,8 @@
|
||||
"id": "z9Q-YUfBDZEq",
|
||||
"colab_type": "code",
|
||||
"colab": {},
|
||||
"outputId": "afc822fb-f16a-4302-8a67-2b9e2880159b"
|
||||
"outputId": "afc822fb-f16a-4302-8a67-2b9e2880159b",
|
||||
"tags": []
|
||||
},
|
||||
"source": [
|
||||
"random_state=1\n",
|
||||
@@ -112,7 +113,7 @@
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": "Fraud: 0.173% 492\nValid: 99.827% 284315\nX.shape (1492, 28) y.shape (1492,)\nFraud: 33.244% 496\nValid: 66.756% 996\n"
|
||||
"text": "Fraud: 0.173% 492\nValid: 99.827% 284315\nX.shape (1492, 28) y.shape (1492,)\nFraud: 32.976% 492\nValid: 67.024% 1000\n"
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -137,25 +138,25 @@
|
||||
" 'learning_rate': [.5, 1],\n",
|
||||
" 'base_estimator__tol': [.1, 1e-02],\n",
|
||||
" 'base_estimator__max_depth': [3, 5],\n",
|
||||
" 'base_estimator__C': [1, 3],\n",
|
||||
" 'base_estimator__C': [7, 55],\n",
|
||||
" 'base_estimator__kernel': ['linear', 'poly', 'rbf']\n",
|
||||
"}"
|
||||
],
|
||||
"execution_count": 9,
|
||||
"execution_count": 5,
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "execute_result",
|
||||
"data": {
|
||||
"text/plain": "{'C': 1.0,\n 'degree': 3,\n 'gamma': 'scale',\n 'kernel': 'linear',\n 'max_depth': None,\n 'max_iter': 1000,\n 'min_samples_split': 0,\n 'random_state': None,\n 'tol': 0.0001}"
|
||||
"text/plain": "{'C': 1.0,\n 'criterion': 'gini',\n 'degree': 3,\n 'gamma': 'scale',\n 'kernel': 'linear',\n 'max_depth': None,\n 'max_features': None,\n 'max_iter': 1000,\n 'min_samples_split': 0,\n 'random_state': None,\n 'split_criteria': 'max_samples',\n 'splitter': 'random',\n 'tol': 0.0001}"
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 14
|
||||
"execution_count": 6
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
@@ -168,28 +169,29 @@
|
||||
"id": "CrcB8o6EDZE5",
|
||||
"colab_type": "code",
|
||||
"colab": {},
|
||||
"outputId": "7703413a-d563-4289-a13b-532f38f82762"
|
||||
"outputId": "7703413a-d563-4289-a13b-532f38f82762",
|
||||
"tags": []
|
||||
},
|
||||
"source": [
|
||||
"random_state=2020\n",
|
||||
"clf = AdaBoostClassifier(random_state=random_state)\n",
|
||||
"clf = AdaBoostClassifier(random_state=random_state, algorithm=\"SAMME\")\n",
|
||||
"grid = GridSearchCV(clf, parameters, verbose=10, n_jobs=-1, return_train_score=True)\n",
|
||||
"grid.fit(Xtrain, ytrain)"
|
||||
],
|
||||
"execution_count": 11,
|
||||
"execution_count": 7,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": "Fitting 5 folds for each of 96 candidates, totalling 480 fits\n[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n[Parallel(n_jobs=-1)]: Done 2 tasks | elapsed: 3.6s\n[Parallel(n_jobs=-1)]: Done 9 tasks | elapsed: 4.2s\n[Parallel(n_jobs=-1)]: Done 16 tasks | elapsed: 4.8s\n[Parallel(n_jobs=-1)]: Done 25 tasks | elapsed: 5.3s\n[Parallel(n_jobs=-1)]: Done 34 tasks | elapsed: 6.2s\n[Parallel(n_jobs=-1)]: Done 45 tasks | elapsed: 7.2s\n[Parallel(n_jobs=-1)]: Done 56 tasks | elapsed: 8.9s\n[Parallel(n_jobs=-1)]: Done 69 tasks | elapsed: 10.7s\n[Parallel(n_jobs=-1)]: Done 82 tasks | elapsed: 12.7s\n[Parallel(n_jobs=-1)]: Done 97 tasks | elapsed: 16.7s\n[Parallel(n_jobs=-1)]: Done 112 tasks | elapsed: 19.4s\n[Parallel(n_jobs=-1)]: Done 129 tasks | elapsed: 24.4s\n[Parallel(n_jobs=-1)]: Done 146 tasks | elapsed: 29.3s\n[Parallel(n_jobs=-1)]: Done 165 tasks | elapsed: 32.7s\n[Parallel(n_jobs=-1)]: Done 184 tasks | elapsed: 36.4s\n[Parallel(n_jobs=-1)]: Done 205 tasks | elapsed: 39.7s\n[Parallel(n_jobs=-1)]: Done 226 tasks | elapsed: 43.7s\n[Parallel(n_jobs=-1)]: Done 249 tasks | elapsed: 46.6s\n[Parallel(n_jobs=-1)]: Done 272 tasks | elapsed: 48.8s\n[Parallel(n_jobs=-1)]: Done 297 tasks | elapsed: 52.0s\n[Parallel(n_jobs=-1)]: Done 322 tasks | elapsed: 55.9s\n[Parallel(n_jobs=-1)]: Done 349 tasks | elapsed: 1.0min\n[Parallel(n_jobs=-1)]: Done 376 tasks | elapsed: 1.2min\n[Parallel(n_jobs=-1)]: Done 405 tasks | elapsed: 1.3min\n[Parallel(n_jobs=-1)]: Done 434 tasks | elapsed: 1.3min\n[Parallel(n_jobs=-1)]: Done 465 tasks | elapsed: 1.4min\n[Parallel(n_jobs=-1)]: Done 480 out of 480 | elapsed: 1.5min finished\n"
|
||||
"text": "Fitting 5 folds for each of 96 candidates, totalling 480 fits\n[Parallel(n_jobs=-1)]: Using backend LokyBackend with 8 concurrent workers.\n[Parallel(n_jobs=-1)]: Done 2 tasks | elapsed: 2.0s\n[Parallel(n_jobs=-1)]: Done 9 tasks | elapsed: 2.4s\n[Parallel(n_jobs=-1)]: Done 16 tasks | elapsed: 2.7s\n[Parallel(n_jobs=-1)]: Done 25 tasks | elapsed: 3.3s\n[Parallel(n_jobs=-1)]: Done 34 tasks | elapsed: 4.3s\n[Parallel(n_jobs=-1)]: Done 45 tasks | elapsed: 5.3s\n[Parallel(n_jobs=-1)]: Done 56 tasks | elapsed: 6.6s\n[Parallel(n_jobs=-1)]: Done 69 tasks | elapsed: 8.1s\n[Parallel(n_jobs=-1)]: Done 82 tasks | elapsed: 9.4s\n[Parallel(n_jobs=-1)]: Done 97 tasks | elapsed: 10.1s\n[Parallel(n_jobs=-1)]: Done 112 tasks | elapsed: 11.1s\n[Parallel(n_jobs=-1)]: Done 129 tasks | elapsed: 12.3s\n[Parallel(n_jobs=-1)]: Done 146 tasks | elapsed: 13.6s\n[Parallel(n_jobs=-1)]: Done 165 tasks | elapsed: 14.9s\n[Parallel(n_jobs=-1)]: Done 184 tasks | elapsed: 16.2s\n[Parallel(n_jobs=-1)]: Done 205 tasks | elapsed: 17.6s\n[Parallel(n_jobs=-1)]: Done 226 tasks | elapsed: 19.1s\n[Parallel(n_jobs=-1)]: Done 249 tasks | elapsed: 21.6s\n[Parallel(n_jobs=-1)]: Done 272 tasks | elapsed: 25.9s\n[Parallel(n_jobs=-1)]: Done 297 tasks | elapsed: 30.4s\n[Parallel(n_jobs=-1)]: Done 322 tasks | elapsed: 36.7s\n[Parallel(n_jobs=-1)]: Done 349 tasks | elapsed: 38.1s\n[Parallel(n_jobs=-1)]: Done 376 tasks | elapsed: 39.6s\n[Parallel(n_jobs=-1)]: Done 405 tasks | elapsed: 41.9s\n[Parallel(n_jobs=-1)]: Done 434 tasks | elapsed: 44.9s\n[Parallel(n_jobs=-1)]: Done 465 tasks | elapsed: 48.2s\n[Parallel(n_jobs=-1)]: Done 480 out of 480 | elapsed: 49.2s finished\n"
|
||||
},
|
||||
{
|
||||
"output_type": "execute_result",
|
||||
"data": {
|
||||
"text/plain": "GridSearchCV(estimator=AdaBoostClassifier(random_state=2020), n_jobs=-1,\n param_grid={'base_estimator': [Stree(C=1, max_depth=3, tol=0.1)],\n 'base_estimator__C': [1, 3],\n 'base_estimator__kernel': ['linear', 'poly', 'rbf'],\n 'base_estimator__max_depth': [3, 5],\n 'base_estimator__tol': [0.1, 0.01],\n 'learning_rate': [0.5, 1], 'n_estimators': [10, 25]},\n return_train_score=True, verbose=10)"
|
||||
"text/plain": "GridSearchCV(estimator=AdaBoostClassifier(algorithm='SAMME', random_state=2020),\n n_jobs=-1,\n param_grid={'base_estimator': [Stree(C=55, max_depth=3, tol=0.01)],\n 'base_estimator__C': [7, 55],\n 'base_estimator__kernel': ['linear', 'poly', 'rbf'],\n 'base_estimator__max_depth': [3, 5],\n 'base_estimator__tol': [0.1, 0.01],\n 'learning_rate': [0.5, 1], 'n_estimators': [10, 25]},\n return_train_score=True, verbose=10)"
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 11
|
||||
"execution_count": 7
|
||||
}
|
||||
]
|
||||
},
|
||||
@@ -199,19 +201,20 @@
|
||||
"id": "ZjX88NoYDZE8",
|
||||
"colab_type": "code",
|
||||
"colab": {},
|
||||
"outputId": "285163c8-fa33-4915-8ae7-61c4f7844344"
|
||||
"outputId": "285163c8-fa33-4915-8ae7-61c4f7844344",
|
||||
"tags": []
|
||||
},
|
||||
"source": [
|
||||
"print(\"Best estimator: \", grid.best_estimator_)\n",
|
||||
"print(\"Best hyperparameters: \", grid.best_params_)\n",
|
||||
"print(\"Best accuracy: \", grid.best_score_)"
|
||||
],
|
||||
"execution_count": 16,
|
||||
"execution_count": 8,
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": "Best estimator: AdaBoostClassifier(base_estimator=Stree(C=1, max_depth=3, tol=0.1),\n learning_rate=0.5, n_estimators=10, random_state=2020)\nBest hyperparameters: {'base_estimator': Stree(C=1, max_depth=3, tol=0.1), 'base_estimator__C': 1, 'base_estimator__kernel': 'linear', 'base_estimator__max_depth': 3, 'base_estimator__tol': 0.1, 'learning_rate': 0.5, 'n_estimators': 10}\nBest accuracy: 0.9492316893632683\n"
|
||||
"text": "Best estimator: AdaBoostClassifier(algorithm='SAMME',\n base_estimator=Stree(C=55, max_depth=3, tol=0.01),\n learning_rate=0.5, n_estimators=25, random_state=2020)\nBest hyperparameters: {'base_estimator': Stree(C=55, max_depth=3, tol=0.01), 'base_estimator__C': 55, 'base_estimator__kernel': 'linear', 'base_estimator__max_depth': 3, 'base_estimator__tol': 0.01, 'learning_rate': 0.5, 'n_estimators': 25}\nBest accuracy: 0.9559440559440558\n"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user