Anomaly_Classifier / expert_metrics.json
bipulsardar's picture
Upload folder using huggingface_hub
5e49dc1 verified
Raw History Blame Contribute Delete
9.18 kB
{
"candle": {
"accuracy": 0.9636363636363636,
"report": {
"good": {
"precision": 0.9864864864864865,
"recall": 0.9733333333333334,
"f1-score": 0.9798657718120806,
"support": 150.0
},
"anomaly": {
"precision": 0.7647058823529411,
"recall": 0.8666666666666667,
"f1-score": 0.8125,
"support": 15.0
},
"accuracy": 0.9636363636363636,
"macro avg": {
"precision": 0.8755961844197138,
"recall": 0.92,
"f1-score": 0.8961828859060403,
"support": 165.0
},
"weighted avg": {
"precision": 0.9663246133834369,
"recall": 0.9636363636363636,
"f1-score": 0.964650701647346,
"support": 165.0
}
}
},
"capsules": {
"accuracy": 0.9056603773584906,
"report": {
"good": {
"precision": 0.9090909090909091,
"recall": 0.989010989010989,
"f1-score": 0.9473684210526315,
"support": 91.0
},
"anomaly": {
"precision": 0.8571428571428571,
"recall": 0.4,
"f1-score": 0.5454545454545454,
"support": 15.0
},
"accuracy": 0.9056603773584906,
"macro avg": {
"precision": 0.8831168831168831,
"recall": 0.6945054945054945,
"f1-score": 0.7464114832535884,
"support": 106.0
},
"weighted avg": {
"precision": 0.9017397696642979,
"recall": 0.9056603773584906,
"f1-score": 0.8904938160151665,
"support": 106.0
}
}
},
"cashew": {
"accuracy": 0.9555555555555556,
"report": {
"good": {
"precision": 0.9863013698630136,
"recall": 0.96,
"f1-score": 0.972972972972973,
"support": 75.0
},
"anomaly": {
"precision": 0.8235294117647058,
"recall": 0.9333333333333333,
"f1-score": 0.875,
"support": 15.0
},
"accuracy": 0.9555555555555556,
"macro avg": {
"precision": 0.9049153908138597,
"recall": 0.9466666666666667,
"f1-score": 0.9239864864864865,
"support": 90.0
},
"weighted avg": {
"precision": 0.9591727101799623,
"recall": 0.9555555555555556,
"f1-score": 0.9566441441441442,
"support": 90.0
}
}
},
"chewinggum": {
"accuracy": 1.0,
"report": {
"good": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 76.0
},
"anomaly": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 15.0
},
"accuracy": 1.0,
"macro avg": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 91.0
},
"weighted avg": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 91.0
}
}
},
"fryum": {
"accuracy": 0.9777777777777777,
"report": {
"good": {
"precision": 0.9866666666666667,
"recall": 0.9866666666666667,
"f1-score": 0.9866666666666667,
"support": 75.0
},
"anomaly": {
"precision": 0.9333333333333333,
"recall": 0.9333333333333333,
"f1-score": 0.9333333333333333,
"support": 15.0
},
"accuracy": 0.9777777777777777,
"macro avg": {
"precision": 0.96,
"recall": 0.96,
"f1-score": 0.96,
"support": 90.0
},
"weighted avg": {
"precision": 0.9777777777777777,
"recall": 0.9777777777777777,
"f1-score": 0.9777777777777777,
"support": 90.0
}
}
},
"macaroni1": {
"accuracy": 0.9757575757575757,
"report": {
"good": {
"precision": 0.9802631578947368,
"recall": 0.9933333333333333,
"f1-score": 0.9867549668874173,
"support": 150.0
},
"anomaly": {
"precision": 0.9230769230769231,
"recall": 0.8,
"f1-score": 0.8571428571428571,
"support": 15.0
},
"accuracy": 0.9757575757575757,
"macro avg": {
"precision": 0.95167004048583,
"recall": 0.8966666666666667,
"f1-score": 0.9219489120151372,
"support": 165.0
},
"weighted avg": {
"precision": 0.9750644092749355,
"recall": 0.9757575757575757,
"f1-score": 0.97497204781973,
"support": 165.0
}
}
},
"macaroni2": {
"accuracy": 0.9696969696969697,
"report": {
"good": {
"precision": 0.9801324503311258,
"recall": 0.9866666666666667,
"f1-score": 0.9833887043189369,
"support": 150.0
},
"anomaly": {
"precision": 0.8571428571428571,
"recall": 0.8,
"f1-score": 0.8275862068965517,
"support": 15.0
},
"accuracy": 0.9696969696969697,
"macro avg": {
"precision": 0.9186376537369915,
"recall": 0.8933333333333333,
"f1-score": 0.9054874556077444,
"support": 165.0
},
"weighted avg": {
"precision": 0.9689515782231014,
"recall": 0.9696969696969697,
"f1-score": 0.9692248409169019,
"support": 165.0
}
}
},
"pcb1": {
"accuracy": 0.9759036144578314,
"report": {
"good": {
"precision": 0.9867549668874173,
"recall": 0.9867549668874173,
"f1-score": 0.9867549668874173,
"support": 151.0
},
"anomaly": {
"precision": 0.8666666666666667,
"recall": 0.8666666666666667,
"f1-score": 0.8666666666666667,
"support": 15.0
},
"accuracy": 0.9759036144578314,
"macro avg": {
"precision": 0.9267108167770419,
"recall": 0.9267108167770419,
"f1-score": 0.9267108167770419,
"support": 166.0
},
"weighted avg": {
"precision": 0.9759036144578314,
"recall": 0.9759036144578314,
"f1-score": 0.9759036144578314,
"support": 166.0
}
}
},
"pcb2": {
"accuracy": 0.9578313253012049,
"report": {
"good": {
"precision": 0.9615384615384616,
"recall": 0.9933774834437086,
"f1-score": 0.9771986970684039,
"support": 151.0
},
"anomaly": {
"precision": 0.9,
"recall": 0.6,
"f1-score": 0.72,
"support": 15.0
},
"accuracy": 0.9578313253012049,
"macro avg": {
"precision": 0.9307692307692308,
"recall": 0.7966887417218542,
"f1-score": 0.8485993485342019,
"support": 166.0
},
"weighted avg": {
"precision": 0.9559777571825766,
"recall": 0.9578313253012049,
"f1-score": 0.9539578509477651,
"support": 166.0
}
}
},
"pcb3": {
"accuracy": 0.9216867469879518,
"report": {
"good": {
"precision": 0.9539473684210527,
"recall": 0.9602649006622517,
"f1-score": 0.9570957095709571,
"support": 151.0
},
"anomaly": {
"precision": 0.5714285714285714,
"recall": 0.5333333333333333,
"f1-score": 0.5517241379310345,
"support": 15.0
},
"accuracy": 0.9216867469879518,
"macro avg": {
"precision": 0.762687969924812,
"recall": 0.7467991169977926,
"f1-score": 0.7544099237509958,
"support": 166.0
},
"weighted avg": {
"precision": 0.9193824168855876,
"recall": 0.9216867469879518,
"f1-score": 0.9204657482781932,
"support": 166.0
}
}
},
"pcb4": {
"accuracy": 0.9518072289156626,
"report": {
"good": {
"precision": 1.0,
"recall": 0.9470198675496688,
"f1-score": 0.9727891156462585,
"support": 151.0
},
"anomaly": {
"precision": 0.6521739130434783,
"recall": 1.0,
"f1-score": 0.7894736842105263,
"support": 15.0
},
"accuracy": 0.9518072289156626,
"macro avg": {
"precision": 0.8260869565217391,
"recall": 0.9735099337748344,
"f1-score": 0.8811313999283924,
"support": 166.0
},
"weighted avg": {
"precision": 0.9685699319015192,
"recall": 0.9518072289156626,
"f1-score": 0.956224468227367,
"support": 166.0
}
}
},
"pipe_fryum": {
"accuracy": 0.9777777777777777,
"report": {
"good": {
"precision": 0.9866666666666667,
"recall": 0.9866666666666667,
"f1-score": 0.9866666666666667,
"support": 75.0
},
"anomaly": {
"precision": 0.9333333333333333,
"recall": 0.9333333333333333,
"f1-score": 0.9333333333333333,
"support": 15.0
},
"accuracy": 0.9777777777777777,
"macro avg": {
"precision": 0.96,
"recall": 0.96,
"f1-score": 0.96,
"support": 90.0
},
"weighted avg": {
"precision": 0.9777777777777777,
"recall": 0.9777777777777777,
"f1-score": 0.9777777777777777,
"support": 90.0
}
}
}
}