netgoat-ai/SynthDDoS
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How to use netgoat-ai/koda-2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow".
import os
os.environ["KERAS_BACKEND"] = "jax"
import keras
model = keras.saving.load_model("hf://netgoat-ai/koda-2")
Total params: 6,382 (24.93 KB)
Trainable params: 5,982 (23.37 KB)
Non-trainable params: 400 (1.56 KB)
netgoat-ai/SynthDDoS
Accuracy: 0.9822
Precision: 0.9655 (of flagged traffic, how much was real attack?)
Recall: 1.0000 (of all attacks, how many did we catch?)
Confusion Matrix:
Predicted Benign | Predicted Attack
Actual Benign: 96490 | 3563
Actual Attack: 0 | 99755
CIC-DDoS2019
Accuracy: 0.7747
Precision: 0.7744
Recall: 0.9998
Confusion Matrix:
Predicted Benign | Predicted Attack
Actual Benign: 141 | 19425
Actual Attack: 13 | 66696