Isolation Forest performs best with 1.0 as max_samples [R]

Excerpt

I am currently using the dataset CICIDS2017 to train an Isolation Forest model for anomaly detection, I am currently using a split that consists of 70% of ONLY BENIGN traffic for training, 15% BENIGN and 50% attacks for validation and the rest for testing, I used the validation to test with some different max_samples values, # MAX_SAMPLES_VALUES = [256, 4_096, 16_384, 100_000, 200_000, 400_000, 800_000, 1.0] and to calibrate some thresholds that maximixe different statistics (1 for max F1 score,