fix: notebooks

config/research_templates.yaml

@@ -73,37 +73,6 @@ baseline_experiments:
       batch_size: 32
     tags: [ "baseline", "neural", "cnn", "surname" ]
 
-  ## Ensemble Models
-  - name: "ensemble"
-    description: "Baseline Ensemble with multiple models"
-    model_type: "ensemble"
-    features: [ "full_name" ]
-    model_params:
-      base_models: [ "logistic_regression", "random_forest", "xgboost" ]
-      voting: "soft"
-      cv_folds: 5
-    tags: [ "baseline", "ensemble" ]
-
-  - name: "ensemble_native"
-    description: "Baseline Ensemble with native name"
-    model_type: "ensemble"
-    features: [ "native_name" ]
-    model_params:
-      base_models: [ "logistic_regression", "random_forest", "xgboost" ]
-      voting: "soft"
-      cv_folds: 5
-    tags: [ "baseline", "ensemble", "native" ]
-
-  - name: "ensemble_surname"
-    description: "Baseline Ensemble with surname"
-    model_type: "ensemble"
-    features: [ "surname" ]
-    model_params:
-      base_models: [ "logistic_regression", "random_forest", "xgboost" ]
-      voting: "soft"
-      cv_folds: 5
-    tags: [ "baseline", "ensemble", "surname" ]
-
   # LightGBM Models
   - name: "lightgbm"
     description: "Baseline LightGBM with engineered features"
@@ -262,40 +231,6 @@ baseline_experiments:
       min_samples_leaf: 1
     tags: [ "baseline", "random_forest", "engineered", "surname" ]
 
-  # SVM Models
-  - name: "svm"
-    description: "Baseline SVM with full name features"
-    model_type: "svm"
-    features: [ "full_name" ]
-    model_params:
-      C: 1.0
-      kernel: "rbf"
-      ngram_range: [ 2, 4 ]
-      max_features: 5000
-    tags: [ "baseline", "svm" ]
-
-  - name: "svm_native"
-    description: "Baseline SVM with native name features"
-    model_type: "svm"
-    features: [ "native_name" ]
-    model_params:
-      C: 1.0
-      kernel: "rbf"
-      ngram_range: [ 2, 4 ]
-      max_features: 5000
-    tags: [ "baseline", "svm", "native" ]
-
-  - name: "svm_surname"
-    description: "Baseline SVM with surname features"
-    model_type: "svm"
-    features: [ "surname" ]
-    model_params:
-      C: 1.0
-      kernel: "rbf"
-      ngram_range: [ 2, 4 ]
-      max_features: 5000
-    tags: [ "baseline", "svm", "surname" ]
-
   # Transformer Models
   - name: "transformer"
     description: "Baseline Transformer with attention mechanism"