Table 6 Original models’ accuracy Model...

Table 6

Original models’ accuracy

Model	Altman		Ohlson		Zmijewski
Company	Non-B.	Bankrupt	Non-B.	Bankrupt	Non-B.	Bankrupt
Sample	9,001	370	9,001	370	9,001	370
Predicted	7,591	270	7,979	285	7,377	308
Cut-off	≥4.03	<4.03	≤0.5	>0.5	≤0.5	>0.5
False	1,410	100	1,022	85	1,624	62
Type I error		27.03%		22.97%		16.76%
Type II error	15.66%		11.35%		18.04%
Accuracy	83.89%		88.19%		82.01%

Model	Altman		Ohlson		Zmijewski
Company	Non-B.	Bankrupt	Non-B.	Bankrupt	Non-B.	Bankrupt
Sample	9,001	370	9,001	370	9,001	370
Predicted	7,591	270	7,979	285	7,377	308
Cut-off	≥4.03	<4.03	≤0.5	>0.5	≤0.5	>0.5
False	1,410	100	1,022	85	1,624	62
Type I error		27.03%		22.97%		16.76%
Type II error	15.66%		11.35%		18.04%
Accuracy	83.89%		88.19%		82.01%

Note(s): Non-B. is the number of non-bankrupt companies. Bankrupt is the number of bankrupt companies. Type I error is the percentage of bankrupt companies classified by the model as non-bankrupt, and Type II error is the percentage of non-bankrupt companies classified as bankrupt. Accuracy is the percentage of correctly predicted types in the total sample

Source(s): Authors’ own elaboration

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