Added models, outputs, data and tensorflow runs
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69
outputs/eval_summary_stl_aspect_original.json
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69
outputs/eval_summary_stl_aspect_original.json
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{
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"mode": "stl",
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"dataset": "original",
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"task": "aspect",
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"model_path": "outputs/best_model_stl_aspect_original.pt",
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"results": {
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"aspect": {
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"macro_f1": 0.6941267385341167,
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"macro_precision": 0.6926366440012734,
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"macro_recall": 0.7177510694594175,
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"confidence": {
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"overall": 0.8459477424621582,
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"correct": 0.8876724243164062,
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"incorrect": 0.7407546639442444
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},
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"per_class": {
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"App": {
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"precision": 0.7973568281938326,
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"recall": 0.8044444444444444,
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"f1-score": 0.8008849557522124,
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"support": 225.0
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},
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"Driver": {
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"precision": 0.7172413793103448,
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"recall": 0.7878787878787878,
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"f1-score": 0.7509025270758123,
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"support": 132.0
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},
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"General": {
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"precision": 0.7619047619047619,
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"recall": 0.64,
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"f1-score": 0.6956521739130435,
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"support": 125.0
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},
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"Payment": {
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"precision": 0.625,
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"recall": 0.6060606060606061,
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"f1-score": 0.6153846153846154,
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"support": 33.0
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},
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"Pricing": {
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"precision": 0.5614035087719298,
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"recall": 0.9411764705882353,
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"f1-score": 0.7032967032967034,
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"support": 68.0
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},
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"Service": {
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"precision": 0.6929133858267716,
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"recall": 0.5269461077844312,
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"f1-score": 0.5986394557823129,
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"support": 167.0
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},
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"accuracy": 0.716,
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"macro avg": {
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"precision": 0.6926366440012734,
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"recall": 0.7177510694594175,
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"f1-score": 0.6941267385341167,
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"support": 750.0
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},
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"weighted avg": {
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"precision": 0.7251149569069801,
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"recall": 0.716,
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"f1-score": 0.7125059034731999,
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"support": 750.0
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}
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}
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}
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}
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}
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