Frontend - #37

Doubled SLIDING_WIND_N to 30 to give FocusOS feature extraction more
telemetry history per inference cycle, reducing variance in short-burst
workload misclassifications.

Rewrote extract_features() to produce the full 22-feature statistical
vector that matches the IdeaPad training dataset schema:

- cpu_mean, cpu_max, cpu_variance
- ram_mean, ram_growth_rate, swap_percent
- network_mean, network_symmetry, net_variance, udp_tcp_ratio
- disk_io_mean, process_count_mean, thread_count_mean
- load_avg, ctx_switches_per_core, cpu_user_system_ratio
- psi_cpu_some, psi_mem_some, psi_io_some
- vscode_active, browser_active, compiler_active

Added timestamp-aware time-delta computation, ddof=0 variance, and
safe column presence checks throughout.

…ition

Rewrote WorkloadPredictor and training pipeline in classifier.py:
- Added full 22-feature schema (matches generate_dataset_ideapad.py)
- Integrated StandardScaler alongside LabelEncoder for robust normalization
- Added StratifiedKFold cross-validation with cross_val_score reporting
- Candidate dataset path resolution (searches project root, ~/home, etc.)
- Path now resolves to focusos/models/models_saved/ for local artifacts

Updated cluster_trainer.py:
- Minor config alignment with new MODELS_DIR path conventions

…l artifacts

Removed:
- focusos/models/focusos_training_data.csv (old pseudo-labeled dataset, 3001 rows)
- focusos/models/generate_dataset.py (old synthetic dataset generator)
- focusos/models_saved/kmeans_model.pkl (unsupervised clustering no longer used)
- focusos/models_saved/pseudo_labeled_dataset.csv (replaced by IdeaPad dataset)

Updated saved model artifacts to reflect the new 22-feature IdeaPad schema:
- feature_columns.pkl: 15→22 feature names
- label_encoder.pkl: updated class mappings
- scaler.pkl: re-fit StandardScaler on IdeaPad data
- xgboost_model.json: re-trained model checkpoint

…ne process loop, handle OS permissions

Extend the write_layer1() signature and INSERT statement to accept
a udp_tcp_ratio column (default 0.10) in the layer1_sys table.
This prepares the schema for the new FocusOS 22-feature network metric.