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Vector testing report
Params:
    conf: "conf/embeddings_validation_semi_supervised.hocon"

Collected 126 files with 0 errors

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Metric: "accuracy"
                                 scores_train                                                             
                                         mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                   
lgbm       baseline_00337               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_00675               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_01350               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_02700               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_05400               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_10800               1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           baseline_21600               0.996 0.000   0.996   0.996 0.000  [0.996 0.996 0.996 0.996 0.996]
           cpc_embeddings_00337         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_00675         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_01350         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_02700         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_05400         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_10800         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           cpc_embeddings_21600         1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_00337        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_00675        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_01350        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_02700        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_05400        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_10800        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
           mles_embeddings_21600        1.000 0.000   1.000   1.000 0.000  [1.000 1.000 1.000 1.000 1.000]
nn         cpc_finetuning_00337           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_00675           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_01350           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_02700           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_05400           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_10800           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           cpc_finetuning_21600           nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_00337          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_00675          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_01350          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_02700          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_05400          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_10800          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           mles_finetuning_21600          nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_00337            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_00675            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_01350            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_02700            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_05400            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_10800            nan   nan     nan     nan   nan            [nan nan nan nan nan]
           target_scores_21600            nan   nan     nan     nan   nan            [nan nan nan nan nan]
                                 scores_valid                                                             
                                         mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                   
lgbm       baseline_00337               0.531 0.008   0.523   0.539 0.007  [0.533 0.522 0.531 0.540 0.530]
           baseline_00675               0.557 0.006   0.551   0.563 0.005  [0.559 0.561 0.550 0.561 0.553]
           baseline_01350               0.581 0.008   0.573   0.589 0.006  [0.579 0.585 0.586 0.571 0.583]
           baseline_02700               0.596 0.006   0.591   0.602 0.004  [0.589 0.599 0.599 0.596 0.599]
           baseline_05400               0.613 0.005   0.608   0.618 0.004  [0.613 0.618 0.607 0.614 0.612]
           baseline_10800               0.625 0.009   0.616   0.633 0.007  [0.615 0.627 0.631 0.621 0.630]
           baseline_21600               0.634 0.002   0.632   0.637 0.002  [0.632 0.636 0.636 0.633 0.633]
           cpc_embeddings_00337         0.499 0.015   0.484   0.515 0.012  [0.505 0.498 0.498 0.482 0.515]
           cpc_embeddings_00675         0.531 0.010   0.521   0.541 0.008  [0.525 0.537 0.530 0.521 0.541]
           cpc_embeddings_01350         0.557 0.008   0.549   0.566 0.007  [0.556 0.567 0.557 0.548 0.558]
           cpc_embeddings_02700         0.574 0.007   0.567   0.581 0.006  [0.568 0.581 0.578 0.574 0.568]
           cpc_embeddings_05400         0.581 0.003   0.579   0.584 0.002  [0.580 0.585 0.582 0.581 0.579]
           cpc_embeddings_10800         0.592 0.005   0.587   0.597 0.004  [0.587 0.598 0.593 0.589 0.591]
           cpc_embeddings_21600         0.600 0.009   0.592   0.609 0.007  [0.603 0.604 0.605 0.588 0.602]
           mles_embeddings_00337        0.564 0.012   0.552   0.577 0.010  [0.576 0.564 0.550 0.571 0.561]
           mles_embeddings_00675        0.586 0.006   0.580   0.592 0.005  [0.589 0.591 0.580 0.589 0.581]
           mles_embeddings_01350        0.601 0.009   0.592   0.609 0.007  [0.600 0.610 0.604 0.591 0.600]
           mles_embeddings_02700        0.610 0.014   0.596   0.623 0.011  [0.604 0.626 0.616 0.603 0.600]
           mles_embeddings_05400        0.623 0.010   0.613   0.634 0.008  [0.616 0.635 0.626 0.625 0.614]
           mles_embeddings_10800        0.631 0.007   0.624   0.638 0.006  [0.628 0.639 0.633 0.629 0.625]
           mles_embeddings_21600        0.637 0.005   0.632   0.643 0.004  [0.633 0.641 0.643 0.636 0.634]
nn         cpc_finetuning_00337         0.536 0.020   0.516   0.556 0.016  [0.538 0.537 0.548 0.548 0.509]
           cpc_finetuning_00675         0.571 0.013   0.558   0.584 0.010  [0.566 0.563 0.589 0.569 0.568]
           cpc_finetuning_01350         0.580 0.017   0.563   0.596 0.013  [0.594 0.576 0.584 0.586 0.559]
           cpc_finetuning_02700         0.595 0.013   0.582   0.608 0.011  [0.588 0.595 0.613 0.595 0.585]
           cpc_finetuning_05400         0.602 0.011   0.591   0.613 0.009  [0.596 0.597 0.615 0.608 0.595]
           cpc_finetuning_10800         0.607 0.005   0.602   0.612 0.004  [0.612 0.602 0.610 0.607 0.604]
           cpc_finetuning_21600         0.619 0.010   0.609   0.630 0.008  [0.624 0.614 0.632 0.614 0.613]
           mles_finetuning_00337        0.555 0.018   0.536   0.573 0.015  [0.556 0.559 0.576 0.544 0.539]
           mles_finetuning_00675        0.576 0.007   0.569   0.582 0.005  [0.570 0.583 0.579 0.574 0.571]
           mles_finetuning_01350        0.593 0.013   0.580   0.605 0.010  [0.607 0.598 0.590 0.587 0.581]
           mles_finetuning_02700        0.604 0.006   0.598   0.611 0.005  [0.610 0.598 0.606 0.608 0.600]
           mles_finetuning_05400        0.619 0.006   0.614   0.625 0.005  [0.620 0.621 0.625 0.619 0.612]
           mles_finetuning_10800        0.631 0.004   0.627   0.636 0.003  [0.636 0.629 0.634 0.629 0.628]
           mles_finetuning_21600        0.643 0.011   0.631   0.654 0.009  [0.649 0.630 0.652 0.646 0.637]
           target_scores_00337          0.498 0.018   0.479   0.516 0.015  [0.484 0.507 0.507 0.511 0.479]
           target_scores_00675          0.548 0.013   0.535   0.561 0.010  [0.550 0.558 0.556 0.544 0.532]
           target_scores_01350          0.570 0.012   0.559   0.582 0.009  [0.574 0.563 0.580 0.576 0.558]
           target_scores_02700          0.591 0.004   0.587   0.596 0.004  [0.590 0.588 0.596 0.594 0.588]
           target_scores_05400          0.603 0.009   0.594   0.612 0.007  [0.598 0.605 0.614 0.604 0.596]
           target_scores_10800          0.616 0.014   0.602   0.630 0.011  [0.632 0.609 0.621 0.615 0.604]
           target_scores_21600          0.630 0.006   0.624   0.637 0.005  [0.636 0.627 0.635 0.626 0.628]
                                 scores_test                                                             
                                        mean  t_pm t_int_l t_int_h   std                           values
model_name feature_name                                                                                  
lgbm       baseline_00337              0.537 0.012   0.525   0.549 0.010  [0.552 0.530 0.531 0.542 0.530]
           baseline_00675              0.563 0.011   0.552   0.575 0.009  [0.565 0.556 0.565 0.577 0.554]
           baseline_01350              0.580 0.008   0.572   0.587 0.006  [0.581 0.569 0.583 0.584 0.582]
           baseline_02700              0.601 0.005   0.596   0.605 0.004  [0.604 0.596 0.599 0.605 0.599]
           baseline_05400              0.611 0.005   0.606   0.615 0.004  [0.606 0.611 0.616 0.609 0.611]
           baseline_10800              0.621 0.005   0.616   0.626 0.004  [0.615 0.623 0.623 0.626 0.619]
           baseline_21600              0.629 0.006   0.623   0.635 0.005  [0.632 0.622 0.630 0.634 0.627]
           cpc_embeddings_00337        0.504 0.013   0.492   0.517 0.010  [0.517 0.496 0.497 0.498 0.514]
           cpc_embeddings_00675        0.531 0.008   0.522   0.539 0.007  [0.536 0.531 0.530 0.520 0.537]
           cpc_embeddings_01350        0.550 0.010   0.540   0.561 0.008  [0.558 0.552 0.551 0.537 0.555]
           cpc_embeddings_02700        0.566 0.009   0.557   0.575 0.007  [0.562 0.568 0.579 0.562 0.561]
           cpc_embeddings_05400        0.584 0.010   0.574   0.594 0.008  [0.571 0.583 0.587 0.587 0.591]
           cpc_embeddings_10800        0.592 0.003   0.589   0.595 0.002  [0.588 0.592 0.593 0.594 0.593]
           cpc_embeddings_21600        0.595 0.004   0.591   0.598 0.003  [0.591 0.592 0.597 0.598 0.596]
           mles_embeddings_00337       0.568 0.014   0.554   0.582 0.012  [0.571 0.571 0.548 0.578 0.571]
           mles_embeddings_00675       0.585 0.012   0.573   0.597 0.010  [0.593 0.578 0.574 0.596 0.583]
           mles_embeddings_01350       0.598 0.009   0.590   0.607 0.007  [0.608 0.590 0.596 0.603 0.596]
           mles_embeddings_02700       0.615 0.005   0.610   0.620 0.004  [0.619 0.619 0.613 0.609 0.615]
           mles_embeddings_05400       0.623 0.004   0.620   0.627 0.003  [0.625 0.626 0.618 0.625 0.623]
           mles_embeddings_10800       0.633 0.008   0.624   0.641 0.007  [0.632 0.636 0.626 0.642 0.627]
           mles_embeddings_21600       0.639 0.005   0.634   0.644 0.004  [0.646 0.638 0.635 0.639 0.637]
nn         cpc_finetuning_00337        0.530 0.015   0.516   0.545 0.012  [0.526 0.531 0.532 0.547 0.515]
           cpc_finetuning_00675        0.562 0.009   0.553   0.571 0.007  [0.564 0.551 0.566 0.559 0.569]
           cpc_finetuning_01350        0.572 0.008   0.564   0.580 0.007  [0.581 0.571 0.568 0.577 0.565]
           cpc_finetuning_02700        0.589 0.008   0.581   0.597 0.006  [0.585 0.583 0.597 0.585 0.594]
           cpc_finetuning_05400        0.590 0.015   0.575   0.606 0.012  [0.583 0.576 0.595 0.609 0.590]
           cpc_finetuning_10800        0.602 0.010   0.593   0.612 0.008  [0.602 0.603 0.600 0.592 0.614]
           cpc_finetuning_21600        0.615 0.011   0.604   0.626 0.009  [0.607 0.619 0.609 0.610 0.629]
           mles_finetuning_00337       0.558 0.014   0.544   0.572 0.011  [0.544 0.564 0.574 0.558 0.552]
           mles_finetuning_00675       0.569 0.002   0.567   0.571 0.002  [0.569 0.567 0.569 0.572 0.569]
           mles_finetuning_01350       0.587 0.007   0.580   0.594 0.005  [0.588 0.586 0.592 0.591 0.578]
           mles_finetuning_02700       0.605 0.008   0.597   0.613 0.006  [0.610 0.602 0.596 0.609 0.608]
           mles_finetuning_05400       0.619 0.007   0.612   0.626 0.006  [0.610 0.619 0.625 0.622 0.619]
           mles_finetuning_10800       0.631 0.005   0.626   0.636 0.004  [0.634 0.637 0.629 0.627 0.629]
           mles_finetuning_21600       0.648 0.011   0.637   0.658 0.009  [0.662 0.643 0.641 0.642 0.650]
           target_scores_00337         0.497 0.013   0.483   0.510 0.011  [0.482 0.502 0.511 0.493 0.496]
           target_scores_00675         0.536 0.013   0.523   0.549 0.010  [0.540 0.549 0.530 0.541 0.522]
           target_scores_01350         0.568 0.011   0.557   0.579 0.009  [0.571 0.569 0.559 0.581 0.561]
           target_scores_02700         0.589 0.006   0.583   0.595 0.005  [0.591 0.590 0.589 0.595 0.581]
           target_scores_05400         0.601 0.004   0.597   0.606 0.003  [0.602 0.603 0.601 0.605 0.596]
           target_scores_10800         0.618 0.008   0.610   0.625 0.006  [0.626 0.623 0.613 0.614 0.614]
           target_scores_21600         0.628 0.005   0.623   0.633 0.004  [0.626 0.623 0.630 0.626 0.633]

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End of report.     Current time: 2020-10-01 06:58:43
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