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{
"model_type": "Enhanced Random Forest",
"model_version": "enhanced",
"task": "regression",
"domain": "readability assessment",
"performance": {
"test_mae": 0.4219855672279393,
"test_r2": 0.8460916091361399,
"cv_mae": 0.41789318171271833,
"cv_std": 0.011257100569327851,
"oob_score": 0.8415221144777265
},
"features": {
"total_features": 36,
"selected_features": 25,
"selection_method": "N/A",
"feature_categories": [
"traditional_readability",
"age_of_acquisition",
"syntactic_complexity",
"lexical_diversity",
"morphological_features",
"semantic_features",
"corpus_indicators"
]
},
"training_data": {
"primary": "WeeBit corpus",
"secondary": "CLEAR corpus",
"samples": 2500
},
"architecture": {
"algorithm": "Random Forest",
"n_estimators": 200,
"feature_selection": true,
"scaling": "RobustScaler"
},
"improvements": [
"Enhanced feature engineering",
"Robust scaling and selection",
"Improved generalization",
"Multi-dataset validation"
]
} |