Table 1. Open in new tab Comparison of... | Oxford Academic

Table 1.

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Comparison of models based on different score metrics

	Model	Precision score	Recall score	F1 score	Accuracy	Log loss
1	Logistic Regression	0.892	0.902	0.893	0.894	0.246
2	Random Forest	0.840	0.830	0.834	0.841	0.886
3	Decision Tree	0.843	0.827	0.832	0.841	3.769

	Model	Precision score	Recall score	F1 score	Accuracy	Log loss
1	Logistic Regression	0.892	0.902	0.893	0.894	0.246
2	Random Forest	0.840	0.830	0.834	0.841	0.886
3	Decision Tree	0.843	0.827	0.832	0.841	3.769

Table 1.

Open in new tab

Comparison of models based on different score metrics

	Model	Precision score	Recall score	F1 score	Accuracy	Log loss
1	Logistic Regression	0.892	0.902	0.893	0.894	0.246
2	Random Forest	0.840	0.830	0.834	0.841	0.886
3	Decision Tree	0.843	0.827	0.832	0.841	3.769

	Model	Precision score	Recall score	F1 score	Accuracy	Log loss
1	Logistic Regression	0.892	0.902	0.893	0.894	0.246
2	Random Forest	0.840	0.830	0.834	0.841	0.886
3	Decision Tree	0.843	0.827	0.832	0.841	3.769