Original: For 3 datasets the difference is more than 20% ; for 2 of these SER-DT is better while for the remaining one, CART is the winner.
Revised: For 3 datasets the difference is more than 20% ; for 2 of these SER-DT is better while for the remaining one, CART is the winner.

Original: In terms of depth wc we observe close values between the algorithms: only for the dataset bankruptcy the difference is more than 20% .
Revised: In terms of depth wc we observe close values between the algorithms: only for the dataset bankruptcy the difference is more than 20% .

Original: In this sense, we observe that dataset bankruptcy was an outlier considering explainability metrics.
Revised: In this sense, we observe that dataset bankruptcy was an outlier considering explainability metrics.

Original: [Table]
Revised: [Table]

Original: anuran 5.
Revised: anuran 5.

Original: audit risk 1.
Revised: audit risk 1.

Original: avila 5.
Revised: avila 5.

Original: banknote 4.
Revised: banknote 4.

Original: bankruptcy polish 4.
Revised: bankruptcy polish 4.

Original: cardiotocography 4.
Revised: cardiotocography 4.

Original: collins 5.
Revised: collins 5.

Original: default credit card 2.
Revised: default credit card 2.

Original: dry bean 4.
Revised: dry bean 4.

Original: eeg eye state 5.
Revised: eeg eye state 5.

Original: htru 2.
Revised: htru 2.

Original: iris 2.
Revised: iris 2.

Original: letter recognition 5.
Revised: letter recognition 5.

Original: mice 3.
Revised: mice 3.

Original: obs network 4.
Revised: obs network 4.

Original: occupancy room 4.
Revised: occupancy room 4.

Original: online shoppers intention 3.
Revised: online shoppers intention 3.

Original: pen digits 5.
Revised: pen digits 5.

Original: poker hand 4.
Revised: poker hand 4.

Original: sensorless 5.
Revised: sensorless 5.

Original: Average 4.
Revised: Average 4.

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: htru
Revised: htru

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: iris
Revised: iris

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: letter
Revised: letter

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: mice
Revised: mice

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: obs network
Revised: obs network

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: occupancy room
Revised: occupancy room

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: online shoppers intention
Revised: online shoppers intention

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: pen digits
Revised: pen digits

Original: [Table]
Revised: [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table]
Revised: [Table]

Original: poker hand
Revised: poker hand

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: sensorless
Revised: sensorless

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]

Original: Average
Revised: Average

Original: [Table] [Table]
Revised: [Table] [Table]

Original: [Table] [Table]
Revised: [Table] [Table]