Application of machine learning techniques for predicting survival in ovarian cancer

Table 11 Performance of the RF model in all the folds of the dataset

Model	Class	Accuracy (%)	PPV (%)	NPV (%)	Sensitivity or Recall (%)	Specificity (%)	F1-Score (%)	AUC (%)
Fold 1	Class 0	88.40	68.93	93.74	75.12	91.67	71.89	83.40
	Class 1	92.10	83.96	93.90	75.27	96.36	79.38	85.82
	Class 2	81.31	53.98	87.86	51.56	88.85	52.74	70.21
	Class 3	89.69	74.19	93.45	73.25	93.74	73.72	83.49
	Class 4	91.96	77.96	95.82	83.68	94.05	80.71	88.86
Fold 2	Class 0	88.67	70.21	93.68	75.14	92.04	72.59	83.59
	Class 1	92.25	82.25	94.50	77.15	95.93	79.62	86.54
	Class 2	81.81	56.45	88.05	53.72	89.16	55.05	71.44
	Class 3	89.16	73.17	92.98	71.32	93.56	72.24	82.44
	Class 4	92.18	78.46	95.88	83.67	94.30	80.98	88.98
Fold 3	Class 0	88.49	70.53	93.36	74.22	92.12	72.33	83.17
	Class 1	92.29	83.34	94.34	77.09	96.12	80.09	86.60
	Class 2	82.08	53.42	89.20	55.14	88.52	54.27	71.83
	Class 3	89.13	74.16	92.59	69.86	93.93	71.95	81.90
	Class 4	92.32	79.73	95.74	83.57	94.56	81.60	89.06
Fold 4	Class 0	88.75	70.52	93.89	76.52	91.86	73.40	84.19
	Class 1	91.95	83.40	93.82	74.63	96.29	78.77	85.46
	Class 2	81.36	54.23	87.98	52.40	88.73	53.30	70.57
	Class 3	89.21	73.84	92.88	71.22	93.70	72.51	82.46
	Class 4	92.61	78.39	96.44	85.55	94.31	81.81	89.93
Fold 5	Class 0	88.25	68.78	93.49	74.00	91.75	71.29	82.87
	Class 1	91.87	82.88	93.86	74.94	96.11	78.71	85.53
	Class 2	81.49	52.38	88.79	53.96	88.15	53.16	71.05
	Class 3	88.89	74.87	92.17	69.15	94.00	71.89	81.57
	Class 4	91.87	77.92	95.71	83.35	94.02	80.54	88.69
Average	Class 0	87.98	67.12	94.33	78.28	90.41	72.27	84.34
	Class 1	85.78	68.45	89.01	53.69	93.81	60.18	73.75
	Class 2	76.64	43.22	87.63	53.47	82.44	47.78	67.95
	Class 3	80.73	52.87	84.89	34.29	92.34	41.56	63.31
	Class 4	82.60	55.61	90.79	64.68	87.08	59.79	75.88

ISSN: 1472-6947