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| cuDNN Version: 92000 |
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| Skipping file: 191_SMD_id_14_Facility_tr_4596_1st_4696.csv due to filter criteria. |
| Skipping file: 741_YAHOO_id_191_WebService_tr_500_1st_1114.csv due to filter criteria. |
| Skipping file: 412_UCR_id_110_Medical_tr_7500_1st_16900.csv due to filter criteria. |
| Skipping file: 746_YAHOO_id_196_WebService_tr_500_1st_413.csv due to filter criteria. |
| Skipping file: 615_YAHOO_id_65_WebService_tr_500_1st_348.csv due to filter criteria. |
| Skipping file: 016_NAB_id_16_Environment_tr_1816_1st_3540.csv due to filter criteria. |
| Skipping file: 248_SVDB_id_12_Medical_tr_18462_1st_18562.csv due to filter criteria. |
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| Skipping file: 278_NEK_id_2_WebService_tr_500_1st_64.csv due to filter criteria. |
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| Skipping file: 398_UCR_id_96_Medical_tr_1913_1st_3474.csv due to filter criteria. |
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| Processing file: 235_SED_id_2_Medical_tr_2499_1st_3840.csv, Data shape: (9999, 1) |
| Label shape: (9999,) |
| Train data shape: (2499, 1), Test data shape: (7500, 1), Label test shape: (7500,) |
| Optimal Hyperparameters for Time_RCD: {'win_size': 5000, 'batch_size': 64} |
| Running Time_RCD on 235_SED_id_2_Medical_tr_2499_1st_3840.csv... |
| Using CUDA device: 2 |
| Data shape: (7500, 1) |
| Config: TimeRCDConfig(ts_config=TimeSeriesConfig(d_model=512, d_proj=256, patch_size=16, num_query_tokens=1, num_layers=8, num_heads=8, d_ff_dropout=0.1, use_rope=True, activation='gelu', num_features=1), llm_config=LLMConfig(model_name='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', max_batch_size=20, num_fixed_tokens=30, num_prototype=1000, num_heads=8), deepspeed_config_path='experiments/configs/deepspeed_config.json', accelerate_config_path='experiments/configs/accelerate_config.yaml', batch_size=64, learning_rate=0.0001, num_epochs=1000, max_seq_len=512, dropout=0.1, accumulation_steps=1, weight_decay=1e-05, enable_ts_train=False, data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_dataset_20250614_133353', test_data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_test_dataset_20250621_090751', pretrain_data_path='/home2/lijinbo/Projects/dataset/ChatTS/result', load_data=True, load_pretrain_path='experiments/checkpoints/pretrain/pretrain_checkpoint_latest.pth', load_path='experiments/checkpoints/checkpoint_step.pth', checkpoint_dir='experiments/checkpoints', log_freq=100, save_freq=10, save_step_freq=100, model_prefix='time_rcd_qa_by_pretrain', test_batch_limit=20, early_stopping_patience=7, seed=72, cuda_devices='2', dist_port='12355', device='cuda', use_multi_gpu=True, mixed_precision=True) |
| Checkpoint path: TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Successfully loaded checkpoint from TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Model loaded on device: cuda |
| Padding AnomalyClipDataset: original length 7500, window_size 5000, adding 2500 samples |
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| Original shapes - Output: (10000,), Label: (7500,) |
| Aligned shapes - Output: (7500,), Label: (7500,) |
| Using 8 workers for heavy metrics, 8 for light metrics |
| Starting heavy computations (Affiliation and F1_T)... |
| Computing light metrics in parallel... |
| Computing Affiliation (parallel) with 8 workers |
| Computing standard F1 (chunked) with 4 workers, chunk_size=25Computing PointF1PA (chunked) with 6 workers, chunk_size=30 |
| Split 500 thresholds into 20 chunks |
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| Computing affiliation metrics: 100%|[32m██████████[0m| 300/300 [00:00<00:00, 3226.05threshold/s] |
| Affiliation computed in 0.21s |
| ✓ auc_roc completed |
| ✓ auc_pr completed |
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| Processing PointF1PA thresholds: 100%|[32m██████████[0m| 291/291 [00:00<00:00, 727.71threshold/s, chunk=10/10, results=291] |
| ✓ Standard F1 computed in 0.57s |
| Best F1: 0.7401 at threshold 0.5180 |
| ✓ PointF1PA computed in 0.59s |
| Best F1_PA: 0.8454 at threshold 0.8711 |
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| Processing 150 chunks (chunked parallel): 98%|█████████▊| 147/150 [00:01<00:00, 146.73it/s][A |
| Processing 150 chunks (chunked parallel): 100%|██████████| 150/150 [00:01<00:00, 149.17it/s] |
| ✓ vus completed |
| ✓ pointf1 completed |
| ✓ pointf1pa completed |
| ✓ f1_t completed |
| Light metrics completed in 2.55s |
| Waiting for heavy computations... |
| ✓ Affiliation completed |
| Heavy metrics completed in 2.61s |
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| Total computation time: 2.61s |
| Evaluation Result: {'AUC-PR': 0.6264585841089553, 'AUC-ROC': 0.9807080874086566, 'VUS-PR': 0.8476378149110302, 'VUS-ROC': 0.9930260175094193, 'Standard-F1': 0.7401197604790419, 'Standard-Precision': 0.6851441241685144, 'Standard-Recall': 0.8046875, 'PA-F1': 0.845442536327609, 'PA-Precision': 0.8579088471849866, 'PA-Recall': 0.8333333333333334, 'Affiliation-F': 0.9688647053679802, 'Affiliation-P': 0.9474215231868843, 'Affiliation-R': 0.9913011256949867, 'F1_T': 0.7380294799804688, 'Precision_T': 0.6851441264152527, 'Recall_T': 0.7997620701789856} |
| Results for 235_SED_id_2_Medical_tr_2499_1st_3840.csv: {'filename': '235_SED_id_2_Medical_tr_2499_1st_3840.csv', 'AD_Name': 'Time_RCD', 'sliding_window': 125, 'train_index': '2499', 'data_shape': '9999x1', 'output_length': 10000, 'label_length': 7500, 'aligned_length': 7500, 'AUC-PR': 0.6264585841089553, 'AUC-ROC': 0.9807080874086566, 'VUS-PR': 0.8476378149110302, 'VUS-ROC': 0.9930260175094193, 'Standard-F1': 0.7401197604790419, 'Standard-Precision': 0.6851441241685144, 'Standard-Recall': 0.8046875, 'PA-F1': 0.845442536327609, 'PA-Precision': 0.8579088471849866, 'PA-Recall': 0.8333333333333334, 'Affiliation-F': 0.9688647053679802, 'Affiliation-P': 0.9474215231868843, 'Affiliation-R': 0.9913011256949867, 'F1_T': 0.7380294799804688, 'Precision_T': 0.6851441264152527, 'Recall_T': 0.7997620701789856} |
| Logits metrics skipped for 235_SED_id_2_Medical_tr_2499_1st_3840.csv |
| Results saved to /timercd_full_eval_work/code/Time-RCD-main/Uni_Time_RCD/235_SED_id_2_Medical_tr_2499_1st_3840_results.pkl |
| Skipping file: 662_YAHOO_id_112_WebService_tr_500_1st_361.csv due to filter criteria. |
| Skipping file: 547_SMAP_id_17_Sensor_tr_2133_1st_5400.csv due to filter criteria. |
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| Processing file: 234_SED_id_1_Medical_tr_3740_1st_3840.csv, Data shape: (19999, 1) |
| Label shape: (19999,) |
| Train data shape: (3740, 1), Test data shape: (16259, 1), Label test shape: (16259,) |
| Optimal Hyperparameters for Time_RCD: {'win_size': 5000, 'batch_size': 64} |
| Running Time_RCD on 234_SED_id_1_Medical_tr_3740_1st_3840.csv... |
| Using CUDA device: 2 |
| Data shape: (16259, 1) |
| Config: TimeRCDConfig(ts_config=TimeSeriesConfig(d_model=512, d_proj=256, patch_size=16, num_query_tokens=1, num_layers=8, num_heads=8, d_ff_dropout=0.1, use_rope=True, activation='gelu', num_features=1), llm_config=LLMConfig(model_name='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', max_batch_size=20, num_fixed_tokens=30, num_prototype=1000, num_heads=8), deepspeed_config_path='experiments/configs/deepspeed_config.json', accelerate_config_path='experiments/configs/accelerate_config.yaml', batch_size=64, learning_rate=0.0001, num_epochs=1000, max_seq_len=512, dropout=0.1, accumulation_steps=1, weight_decay=1e-05, enable_ts_train=False, data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_dataset_20250614_133353', test_data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_test_dataset_20250621_090751', pretrain_data_path='/home2/lijinbo/Projects/dataset/ChatTS/result', load_data=True, load_pretrain_path='experiments/checkpoints/pretrain/pretrain_checkpoint_latest.pth', load_path='experiments/checkpoints/checkpoint_step.pth', checkpoint_dir='experiments/checkpoints', log_freq=100, save_freq=10, save_step_freq=100, model_prefix='time_rcd_qa_by_pretrain', test_batch_limit=20, early_stopping_patience=7, seed=72, cuda_devices='2', dist_port='12355', device='cuda', use_multi_gpu=True, mixed_precision=True) |
| Checkpoint path: TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Successfully loaded checkpoint from TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Model loaded on device: cuda |
| Padding AnomalyClipDataset: original length 16259, window_size 5000, adding 3741 samples |
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| Original shapes - Output: (20000,), Label: (16259,) |
| Aligned shapes - Output: (16259,), Label: (16259,) |
| Using 8 workers for heavy metrics, 8 for light metrics |
| Starting heavy computations (Affiliation and F1_T)... |
| Computing light metrics in parallel... |
| Computing Affiliation (parallel) with 8 workers |
| Computing standard F1 (chunked) with 4 workers, chunk_size=25 |
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| Affiliation computed in 0.31s |
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| ✓ Standard F1 computed in 0.54s |
| Best F1: 0.5645 at threshold 0.2701 |
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| ✓ PointF1PA computed in 0.57s |
| Best F1_PA: 0.6818 at threshold 0.4147 |
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| ✓ vus completed |
| ✓ pointf1 completed |
| ✓ pointf1pa completed |
| ✓ f1_t completed |
| Light metrics completed in 5.59s |
| Waiting for heavy computations... |
| ✓ Affiliation completed |
| Heavy metrics completed in 5.64s |
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| Total computation time: 5.64s |
| Evaluation Result: {'AUC-PR': 0.48989815786440677, 'AUC-ROC': 0.904679499749439, 'VUS-PR': 0.6721420614137845, 'VUS-ROC': 0.9525012251770205, 'Standard-F1': 0.5644930985245121, 'Standard-Precision': 0.5197195442594216, 'Standard-Recall': 0.6177083333333333, 'PA-F1': 0.6818401937046005, 'PA-Precision': 0.63710407239819, 'PA-Recall': 0.7333333333333333, 'Affiliation-F': 0.8441211633771225, 'Affiliation-P': 0.8376882520285783, 'Affiliation-R': 0.8506537421863113, 'F1_T': 0.5623207688331604, 'Precision_T': 0.5225810408592224, 'Recall_T': 0.6086019277572632} |
| Results for 234_SED_id_1_Medical_tr_3740_1st_3840.csv: {'filename': '234_SED_id_1_Medical_tr_3740_1st_3840.csv', 'AD_Name': 'Time_RCD', 'sliding_window': 125, 'train_index': '3740', 'data_shape': '19999x1', 'output_length': 20000, 'label_length': 16259, 'aligned_length': 16259, 'AUC-PR': 0.48989815786440677, 'AUC-ROC': 0.904679499749439, 'VUS-PR': 0.6721420614137845, 'VUS-ROC': 0.9525012251770205, 'Standard-F1': 0.5644930985245121, 'Standard-Precision': 0.5197195442594216, 'Standard-Recall': 0.6177083333333333, 'PA-F1': 0.6818401937046005, 'PA-Precision': 0.63710407239819, 'PA-Recall': 0.7333333333333333, 'Affiliation-F': 0.8441211633771225, 'Affiliation-P': 0.8376882520285783, 'Affiliation-R': 0.8506537421863113, 'F1_T': 0.5623207688331604, 'Precision_T': 0.5225810408592224, 'Recall_T': 0.6086019277572632} |
| Logits metrics skipped for 234_SED_id_1_Medical_tr_3740_1st_3840.csv |
| Results saved to /timercd_full_eval_work/code/Time-RCD-main/Uni_Time_RCD/234_SED_id_1_Medical_tr_3740_1st_3840_results.pkl |
| Skipping file: 374_UCR_id_72_Medical_tr_2500_1st_7000.csv due to filter criteria. |
| Skipping file: 686_YAHOO_id_136_WebService_tr_500_1st_755.csv due to filter criteria. |
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| Processing file: 236_SED_id_3_Medical_tr_3740_1st_3840.csv, Data shape: (39999, 1) |
| Label shape: (39999,) |
| Train data shape: (3740, 1), Test data shape: (36259, 1), Label test shape: (36259,) |
| Optimal Hyperparameters for Time_RCD: {'win_size': 5000, 'batch_size': 64} |
| Running Time_RCD on 236_SED_id_3_Medical_tr_3740_1st_3840.csv... |
| Using CUDA device: 2 |
| Data shape: (36259, 1) |
| Config: TimeRCDConfig(ts_config=TimeSeriesConfig(d_model=512, d_proj=256, patch_size=16, num_query_tokens=1, num_layers=8, num_heads=8, d_ff_dropout=0.1, use_rope=True, activation='gelu', num_features=1), llm_config=LLMConfig(model_name='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', max_batch_size=20, num_fixed_tokens=30, num_prototype=1000, num_heads=8), deepspeed_config_path='experiments/configs/deepspeed_config.json', accelerate_config_path='experiments/configs/accelerate_config.yaml', batch_size=64, learning_rate=0.0001, num_epochs=1000, max_seq_len=512, dropout=0.1, accumulation_steps=1, weight_decay=1e-05, enable_ts_train=False, data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_dataset_20250614_133353', test_data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_test_dataset_20250621_090751', pretrain_data_path='/home2/lijinbo/Projects/dataset/ChatTS/result', load_data=True, load_pretrain_path='experiments/checkpoints/pretrain/pretrain_checkpoint_latest.pth', load_path='experiments/checkpoints/checkpoint_step.pth', checkpoint_dir='experiments/checkpoints', log_freq=100, save_freq=10, save_step_freq=100, model_prefix='time_rcd_qa_by_pretrain', test_batch_limit=20, early_stopping_patience=7, seed=72, cuda_devices='2', dist_port='12355', device='cuda', use_multi_gpu=True, mixed_precision=True) |
| Checkpoint path: TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Successfully loaded checkpoint from TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Model loaded on device: cuda |
| Padding AnomalyClipDataset: original length 36259, window_size 5000, adding 3741 samples |
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| Original shapes - Output: (40000,), Label: (36259,) |
| Aligned shapes - Output: (36259,), Label: (36259,) |
| Using 8 workers for heavy metrics, 8 for light metrics |
| Starting heavy computations (Affiliation and F1_T)... |
| Computing light metrics in parallel... |
| Computing standard F1 (chunked) with 4 workers, chunk_size=25 |
| Split 500 thresholds into 20 chunks |
| Computing Affiliation (parallel) with 8 workers |
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| Affiliation computed in 0.93s |
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| ✓ Standard F1 computed in 1.30s |
| Best F1: 0.5210 at threshold 0.3221 |
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| ✓ PointF1PA computed in 1.43s |
| Best F1_PA: 0.6677 at threshold 0.5838 |
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| ✓ vus completed |
| ✓ pointf1 completed |
| ✓ pointf1pa completed |
| ✓ f1_t completed |
| Light metrics completed in 9.60s |
| Waiting for heavy computations... |
| ✓ Affiliation completed |
| Heavy metrics completed in 9.65s |
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| Total computation time: 9.65s |
| Evaluation Result: {'AUC-PR': 0.4564877044289441, 'AUC-ROC': 0.9280721277688692, 'VUS-PR': 0.576131307924147, 'VUS-ROC': 0.9600859219994065, 'Standard-F1': 0.5210273779283093, 'Standard-Precision': 0.44567841622404636, 'Standard-Recall': 0.6270380434782609, 'PA-F1': 0.6676894752991716, 'PA-Precision': 0.6088416340235031, 'PA-Recall': 0.7391304347826086, 'Affiliation-F': 0.8568482149693674, 'Affiliation-P': 0.84043441114783, 'Affiliation-R': 0.8739160213629448, 'F1_T': 0.5197026133537292, 'Precision_T': 0.4579049050807953, 'Recall_T': 0.6007827520370483} |
| Results for 236_SED_id_3_Medical_tr_3740_1st_3840.csv: {'filename': '236_SED_id_3_Medical_tr_3740_1st_3840.csv', 'AD_Name': 'Time_RCD', 'sliding_window': 125, 'train_index': '3740', 'data_shape': '39999x1', 'output_length': 40000, 'label_length': 36259, 'aligned_length': 36259, 'AUC-PR': 0.4564877044289441, 'AUC-ROC': 0.9280721277688692, 'VUS-PR': 0.576131307924147, 'VUS-ROC': 0.9600859219994065, 'Standard-F1': 0.5210273779283093, 'Standard-Precision': 0.44567841622404636, 'Standard-Recall': 0.6270380434782609, 'PA-F1': 0.6676894752991716, 'PA-Precision': 0.6088416340235031, 'PA-Recall': 0.7391304347826086, 'Affiliation-F': 0.8568482149693674, 'Affiliation-P': 0.84043441114783, 'Affiliation-R': 0.8739160213629448, 'F1_T': 0.5197026133537292, 'Precision_T': 0.4579049050807953, 'Recall_T': 0.6007827520370483} |
| Logits metrics skipped for 236_SED_id_3_Medical_tr_3740_1st_3840.csv |
| Results saved to /timercd_full_eval_work/code/Time-RCD-main/Uni_Time_RCD/236_SED_id_3_Medical_tr_3740_1st_3840_results.pkl |
| Skipping file: 674_YAHOO_id_124_WebService_tr_500_1st_514.csv due to filter criteria. |
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| Processing file: 302_Power_id_1_Facility_tr_7685_1st_7785.csv, Data shape: (35040, 1) |
| Label shape: (35040,) |
| Train data shape: (7685, 1), Test data shape: (27355, 1), Label test shape: (27355,) |
| Optimal Hyperparameters for Time_RCD: {'win_size': 5000, 'batch_size': 64} |
| Running Time_RCD on 302_Power_id_1_Facility_tr_7685_1st_7785.csv... |
| Using CUDA device: 2 |
| Data shape: (27355, 1) |
| Config: TimeRCDConfig(ts_config=TimeSeriesConfig(d_model=512, d_proj=256, patch_size=16, num_query_tokens=1, num_layers=8, num_heads=8, d_ff_dropout=0.1, use_rope=True, activation='gelu', num_features=1), llm_config=LLMConfig(model_name='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', max_batch_size=20, num_fixed_tokens=30, num_prototype=1000, num_heads=8), deepspeed_config_path='experiments/configs/deepspeed_config.json', accelerate_config_path='experiments/configs/accelerate_config.yaml', batch_size=64, learning_rate=0.0001, num_epochs=1000, max_seq_len=512, dropout=0.1, accumulation_steps=1, weight_decay=1e-05, enable_ts_train=False, data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_dataset_20250614_133353', test_data_path='/home3/lantian/ChatTS/data/ChatTSQA/time_rcd_test_dataset_20250621_090751', pretrain_data_path='/home2/lijinbo/Projects/dataset/ChatTS/result', load_data=True, load_pretrain_path='experiments/checkpoints/pretrain/pretrain_checkpoint_latest.pth', load_path='experiments/checkpoints/checkpoint_step.pth', checkpoint_dir='experiments/checkpoints', log_freq=100, save_freq=10, save_step_freq=100, model_prefix='time_rcd_qa_by_pretrain', test_batch_limit=20, early_stopping_patience=7, seed=72, cuda_devices='2', dist_port='12355', device='cuda', use_multi_gpu=True, mixed_precision=True) |
| Checkpoint path: TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Successfully loaded checkpoint from TSB_AD_Time_RCD/checkpoints/full_mask_anomaly_head_pretrain_checkpoint_best.pth |
| Model loaded on device: cuda |
| Padding AnomalyClipDataset: original length 27355, window_size 5000, adding 2645 samples |
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| Original shapes - Output: (30000,), Label: (27355,) |
| Aligned shapes - Output: (27355,), Label: (27355,) |
| Using 8 workers for heavy metrics, 8 for light metrics |
| Starting heavy computations (Affiliation and F1_T)... |
| Computing light metrics in parallel... |
| Computing Affiliation (parallel) with 8 workers |
| Computing standard F1 (chunked) with 4 workers, chunk_size=25Computing PointF1PA (chunked) with 6 workers, chunk_size=30 |
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| ✓ Standard F1 computed in 0.72s |
| Best F1: 0.2312 at threshold 0.0301 |
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| ✓ PointF1PA computed in 0.87s |
| Best F1_PA: 0.8435 at threshold 0.6894 |
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| Processing 150 chunks (chunked parallel): 100%|██████████| 150/150 [00:01<00:00, 108.76it/s] |
| ✓ vus completed |
| ✓ pointf1 completed |
| ✓ pointf1pa completed |
| ✓ f1_t completed |
| Light metrics completed in 2.81s |
| Waiting for heavy computations... |
| ✓ Affiliation completed |
| Heavy metrics completed in 2.89s |
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| Total computation time: 2.89s |
| Evaluation Result: {'AUC-PR': 0.1367011080129613, 'AUC-ROC': 0.5831801615000343, 'VUS-PR': 0.14632884726955503, 'VUS-ROC': 0.6049295275618976, 'Standard-F1': 0.23123355517721714, 'Standard-Precision': 0.1505744809514211, 'Standard-Recall': 0.498, 'PA-F1': 0.8435259384226065, 'PA-Precision': 0.7293946024799417, 'PA-Recall': 1.0, 'Affiliation-F': 0.8501656655090011, 'Affiliation-P': 0.7750989556289191, 'Affiliation-R': 0.941331786451143, 'F1_T': 0.23085550963878632, 'Precision_T': 0.15104909241199493, 'Recall_T': 0.48946112394332886} |
| Results for 302_Power_id_1_Facility_tr_7685_1st_7785.csv: {'filename': '302_Power_id_1_Facility_tr_7685_1st_7785.csv', 'AD_Name': 'Time_RCD', 'sliding_window': 96, 'train_index': '7685', 'data_shape': '35040x1', 'output_length': 30000, 'label_length': 27355, 'aligned_length': 27355, 'AUC-PR': 0.1367011080129613, 'AUC-ROC': 0.5831801615000343, 'VUS-PR': 0.14632884726955503, 'VUS-ROC': 0.6049295275618976, 'Standard-F1': 0.23123355517721714, 'Standard-Precision': 0.1505744809514211, 'Standard-Recall': 0.498, 'PA-F1': 0.8435259384226065, 'PA-Precision': 0.7293946024799417, 'PA-Recall': 1.0, 'Affiliation-F': 0.8501656655090011, 'Affiliation-P': 0.7750989556289191, 'Affiliation-R': 0.941331786451143, 'F1_T': 0.23085550963878632, 'Precision_T': 0.15104909241199493, 'Recall_T': 0.48946112394332886} |
| Logits metrics skipped for 302_Power_id_1_Facility_tr_7685_1st_7785.csv |
| Results saved to /timercd_full_eval_work/code/Time-RCD-main/Uni_Time_RCD/302_Power_id_1_Facility_tr_7685_1st_7785_results.pkl |
| Skipping file: 504_UCR_id_202_Environment_tr_2046_1st_5549.csv due to filter criteria. |
| Skipping file: 284_NEK_id_8_WebService_tr_500_1st_976.csv due to filter criteria. |
| Skipping file: 575_YAHOO_id_25_Synthetic_tr_500_1st_623.csv due to filter criteria. |
| Skipping file: 084_WSD_id_56_WebService_tr_4559_1st_9616.csv due to filter criteria. |
| Skipping file: 042_WSD_id_14_WebService_tr_3015_1st_3115.csv due to filter criteria. |
| Skipping file: 135_WSD_id_107_WebService_tr_3779_1st_3879.csv due to filter criteria. |
| Skipping file: 839_Exathlon_id_30_Facility_tr_10766_1st_12590.csv due to filter criteria. |
| Skipping file: 601_YAHOO_id_51_Synthetic_tr_500_1st_893.csv due to filter criteria. |
| Skipping file: 218_LTDB_id_3_Medical_tr_500_1st_266.csv due to filter criteria. |
|
|
| All results saved to Uni_Time_RCD.csv |
| Total file processed: 4 |
| Results shape: (4, 24) |
|
|
