models/model_weights/custom_models/metadata.json

{
  "training_date": "2025-11-10 22:41:20",
  "models": {
    "english": {
      "best_model": "logistic",
      "f1_score": 0.8236057473045872,
      "num_classes": 2,
      "samples": 726119,
      "comparison": {
        "logistic": {
          "accuracy": 0.8236104225196937,
          "f1_score": 0.8236057473045872,
          "training_time": 12.177018880844116
        },
        "svm": {
          "accuracy": 0.49807194403128957,
          "f1_score": 0.3313417045600173,
          "training_time": 2899.718695640564
        }
      }
    },
    "bengali": {
      "best_model": "logistic",
      "f1_score": 0.8723120553261358,
      "num_classes": 2,
      "samples": 30000,
      "comparison": {
        "logistic": {
          "accuracy": 0.872,
          "f1_score": 0.8723120553261358,
          "training_time": 7.978064775466919
        },
        "svm": {
          "accuracy": 0.3333333333333333,
          "f1_score": 0.16666666666666666,
          "training_time": 357.4858100414276
        }
      }
    }
  },
  "separate_models": true,
  "algorithms_tested": [
    "logistic",
    "svm",
    "random_forest"
  ]
}