Report ({report_no})

Date: {date} Time: {time}

Semantic Relation Classification

Number of Classes to predict: {classes_no} Classes: {pred_classes}

Duration: {duration}

Dataset description:

Number or folds: {folds_no}
Training (N={training_no})
- {training_pairs}
Validation (N={validation_no}):
- {validation_pairs}
Test (N={test_no}):
- {test_pairs}

Overall performance ({good_no} of {test_no}):

Precision: {prec}
Recall: §{rec}
F1: {f}1§
other metrics

Confusion matrix:

Figure 1: confusion matrix for...

Recall/Precision Curve:

Figure 2: Precision/recall curve in the overall performance

Learning Curve

Figure 3: Learning curve in training and validation/test

Variance and Bias

https://scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html

Recommendations

{recommendations}