Add tags or indexes when comparing ML models of the same type

[ImProta]

The current compare_metrics function does not account for models of the same type. Visualization might be confusing. It is necessary to develop a feature to identify the different metadata of model of same type and give a tag to it. This will make easier to visualize which data belongs to each model.

LandslideML/landslideml/output.py

Lines 123 to 140 in a08e45a

	for i, metric in enumerate(metric_order):
	if metric != 'accuracy':
	plot_data = pivot_df[pivot_df['Metric'] != 'accuracy']
	else:
	plot_data = pivot_df[pivot_df['Metric'] == 'accuracy']
	sns.barplot(x='Model',
	y='Value',
	hue='Class',
	data=plot_data[plot_data['Metric'] == metric],
	ax=axes[i],
	palette=palette)
	axes[i].set_title(f'{metric.capitalize()} - Labels')
	axes[i].set_xlabel('')
	axes[i].set_ylabel(metric.capitalize())
	if metric != 'accuracy':
	handles, labels = axes[i].get_legend_handles_labels()
	axes[i].legend(handles=handles[:2], labels=labels[:2])
	plt.tight_layout()