Table 6 Different results while using different parameters.

Parameters	Metrics		SVM	LR	GB	DT	Stacking	Average Score
SVM: C = 50 Gamma = auto Probability = true Degree = 1 LR: C = 200 GB: Max_features = 0.2 Max_depth = 10 Min_samples_leaf = 2 DT: Max_depth = 6 random_state = 42 StackingClassifier cv = 3, estimators = [('SVM,LR,GB,DT final_estimator = RF(Max_features = auto Max_depth = 10 Min_samples_leaf = 0.005 Min_samples_split = 0.005 n_jobs = -1 n_estimators = 10 random_state = 40	Accuracy	Suicidal	0.52	0.90	0.91	0.73	0.94	92%
	Accuracy	Non-Suicidal	0.70	0.94	0.95	0.81	0.94	92%
	Precision	Suicidal	0.92	0.87	0.91	0.76	0.95	91%
	Precision	Non-Suicidal	0.97	0.98	0.98	0.79	0.98	91%
	Recall	Suicidal	0.73	0.94	0.92	0.75	0.96	94%
	Recall	Non-Suicidal	0.48	0.93	0.93	0.83	0.97	94%
	F1-Score	Suicidal	0.67	0.90	0.91	0.72	0.94	91%
	F1-Score	Non-Suicidal	0.62	0.95	0.95	0.81	0.91	91%

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