EinsteinNet / EinsteinNet_orange_metrics.json
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{
"Validation Accuracy": 0.996,
"Test Accuracy": 0.996,
"Precision (Macro)": 0.996,
"Recall (Macro)": 0.996,
"F1 Score (Macro)": 0.996,
"Training Time (seconds)": 13033.01,
"Model Size (MB)": 2.54,
"Trainable Parameters": 207109,
"Confusion Matrix": [
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"Classification Report": {
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"recall": 0.9977777777777778,
"f1-score": 0.9955654101995566,
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"1": {
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"2": {
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"3": {
"precision": 1.0,
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"f1-score": 1.0,
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"4": {
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"recall": 0.9911111111111112,
"f1-score": 0.9933184855233853,
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},
"accuracy": 0.996,
"macro avg": {
"precision": 0.9960038979902504,
"recall": 0.9960000000000001,
"f1-score": 0.9959994929997906,
"support": 2250
},
"weighted avg": {
"precision": 0.9960038979902502,
"recall": 0.996,
"f1-score": 0.9959994929997905,
"support": 2250
}
}
}