Journal of Big Data

Table 5 The dataset properties that are significant when explaining the cost of comprehensibility using a number of standard dataset properties as independent variables in a regression model where the cost is the dependent variable

From: The non-linear nature of the cost of comprehensibility

Variable	MSE	Pr(>F)	Coef
F1v	0.089	0.0002	0.116
L3	0.059	0.003	0.096
T4	0.045	0.012	0.063
L2	0.044	0.012	0.089
L1	0.042	0.014	0.082
N4	0.038	0.020	0.094
CanCor	0.032	0.034	\(-\) 0.075e
F3	0.031	0.036	0.087
F3	0.031	0.036	0.087
EqNumAttr	0.029	0.044	\(-\) 0.171e
NsRatio	0.029	0.044	\(-\) 0.171e

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