bert_finetuned_senti / classification_report.json
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{
"accuracy": 0.6095,
"metrics": {
"negative": {
"precision": 0.82,
"recall": 0.29,
"f1-score": 0.42,
"support": 1001
},
"neutral": {
"precision": 0.51,
"recall": 0.89,
"f1-score": 0.65,
"support": 1430
},
"positive": {
"precision": 0.85,
"recall": 0.54,
"f1-score": 0.66,
"support": 1103
},
"macro_avg": {
"precision": 0.73,
"recall": 0.57,
"f1-score": 0.58,
"support": 3534
},
"weighted_avg": {
"precision": 0.7,
"recall": 0.61,
"f1-score": 0.59,
"support": 3534
}
}
}