classes = np.unique(data_f['Tema'])
weights = compute_class_weight(class_weight='balanced', classes=classes, y=data_f['Tema'])
class_weights = dict(zip(classes, weights))
cat = CatBoostClassifier(iterations=20000,
learning_rate=0.1,
#depth=2,
#early_stopping_rounds=100,
loss_function='MultiClass',
class_weights=class_weights,
custom_loss = ['AUC', 'Accuracy'])
pool_t = Pool(data_ngrams, label=data_f['Tema'], weight=None)
cat.fit(pool_t,
verbose=False,
plot=True,
eval_set=(test_ngrams, data_test['Tema']))
keyboard_1 = VkKeyboard(**settings)
keyboard_1.add_callback_button( label='Уже оформил', color=VkKeyboardColor.SECONDARY, payload={"type": "show_snackbar", "text": "unified_manual_PFR_1"})
keyboard_1.add_line()
И он строит график во время обучения - поэтому он так выглядит