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keffi-mental-health-companion – AI Model by Balajikrishnan031 | AlphaNeural AI
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Model Card — Keffi Emotion Classifier
Model Details
Model Architecture
: TF-IDF Vectorizer (1-2 ngrams) + Logistic Regression (C=1.0)
Framework
: Scikit-Learn (Python 3.12)
Primary Task
: Multi-class Emotion Classification (Joy, Sadness, Anxiety, Anger, Neutral)
Output Artifact
:
emotion_classifier.joblib
Performance & Metrics
Accuracy
: 100.00%
Macro Precision
: 1.00
Macro Recall
: 1.00
Macro F1-Score
: 1.00
Intended Use & Framing
This model is trained for preliminary psychoeducational emotion prediction within the Keffi companion application. It is
not
intended for clinical diagnosis of psychiatric disorders.
