Table 10.

Multi-label classification: performance metrics of RF classifier

	multi-label classification:
	best performing RF classifier
labels	precision	recall	F1-score	support
helper_functions	0.91	0.82	0.86	286
load_data	0.88	0.66	0.75	191
data_preprocessing	0.69	0.75	0.72	437
data_exploration	0.80	0.79	0.79	801
modelling	0.78	0.58	0.67	361
evaluation	0.74	0.30	0.43	171
prediction	0.77	0.33	0.47	90
result_visualization	0.43	0.16	0.24	97
save_results	0.84	0.53	0.65	30
comment_only	1.00	0.86	0.93	37
micro avg	0.78	0.67	0.72	2501
macro avg	0.78	0.58	0.65	2501
weighted avg	0.78	0.67	0.71	2501
samples avg	0.74	0.71	0.71	2501