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Q9_keras_metrics.json
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76 lines (76 loc) · 1.72 KB
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{
"Accuracy": 0.9958333333333333,
"Precision": 0.9989936262998994,
"Recall": 0.9926666666666667,
"Loss": 0.05295986582182692,
"F1 Score": 0.9958200969737502,
"ROC-AUC": 0.9998165555555556,
"Confusion Matrix": [
[
2997,
3
],
[
22,
2978
]
],
"Classification Report Dict": {
"non-agri": {
"precision": 0.9927128188141768,
"recall": 0.999,
"f1-score": 0.9958464861272637,
"support": 3000.0
},
"agri": {
"precision": 0.9989936262998994,
"recall": 0.9926666666666667,
"f1-score": 0.9958200969737502,
"support": 3000.0
},
"accuracy": 0.9958333333333333,
"macro avg": {
"precision": 0.9958532225570381,
"recall": 0.9958333333333333,
"f1-score": 0.9958332915505069,
"support": 6000.0
},
"weighted avg": {
"precision": 0.9958532225570382,
"recall": 0.9958333333333333,
"f1-score": 0.9958332915505069,
"support": 6000.0
}
},
"Class labels": [
"non-agri",
"agri"
],
"Classification Report": {
"non-agri": {
"precision": 0.9927128188141768,
"recall": 0.999,
"f1-score": 0.9958464861272637,
"support": 3000.0
},
"agri": {
"precision": 0.9989936262998994,
"recall": 0.9926666666666667,
"f1-score": 0.9958200969737502,
"support": 3000.0
},
"accuracy": 0.9958333333333333,
"macro avg": {
"precision": 0.9958532225570381,
"recall": 0.9958333333333333,
"f1-score": 0.9958332915505069,
"support": 6000.0
},
"weighted avg": {
"precision": 0.9958532225570382,
"recall": 0.9958333333333333,
"f1-score": 0.9958332915505069,
"support": 6000.0
}
}
}