Toggle navigation
HyLAP
News
Project
Publications
Meta-Data
SVM
AdaBoost
Weka
Hyperparameter Response Surface
for Support Vector Machine
Linear Kernel
A9A
Data Set Name
2
Number of Classes
52098/13025
Number of Instances (train/test)
83
Number of Attributes
Polynomial Kernel
A9A
Data Set Name
2
Number of Classes
52098/13025
Number of Instances (train/test)
83
Number of Attributes
RBF-Kernel
A9A
Data Set Name
2
Number of Classes
52098/13025
Number of Instances (train/test)
83
Number of Attributes
Linear Kernel
abalone
Data Set Name
28
Number of Classes
3339/835
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
abalone
Data Set Name
28
Number of Classes
3339/835
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
abalone
Data Set Name
28
Number of Classes
3339/835
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
acoustic
Data Set Name
3
Number of Classes
94586/23647
Number of Instances (train/test)
50
Number of Attributes
Polynomial Kernel
acoustic
Data Set Name
3
Number of Classes
94586/23647
Number of Instances (train/test)
50
Number of Attributes
RBF-Kernel
acoustic
Data Set Name
3
Number of Classes
94586/23647
Number of Instances (train/test)
50
Number of Attributes
Linear Kernel
aloi
Data Set Name
1000
Number of Classes
86400/21600
Number of Instances (train/test)
128
Number of Attributes
Polynomial Kernel
aloi
Data Set Name
1000
Number of Classes
86400/21600
Number of Instances (train/test)
128
Number of Attributes
RBF-Kernel
aloi
Data Set Name
1000
Number of Classes
86400/21600
Number of Instances (train/test)
128
Number of Attributes
Linear Kernel
appendicitis
Data Set Name
2
Number of Classes
84/22
Number of Instances (train/test)
7
Number of Attributes
Polynomial Kernel
appendicitis
Data Set Name
2
Number of Classes
84/22
Number of Instances (train/test)
7
Number of Attributes
RBF-Kernel
appendicitis
Data Set Name
2
Number of Classes
84/22
Number of Instances (train/test)
7
Number of Attributes
Linear Kernel
australian
Data Set Name
2
Number of Classes
552/138
Number of Instances (train/test)
14
Number of Attributes
Polynomial Kernel
australian
Data Set Name
2
Number of Classes
552/138
Number of Instances (train/test)
14
Number of Attributes
RBF-Kernel
australian
Data Set Name
2
Number of Classes
552/138
Number of Instances (train/test)
14
Number of Attributes
Linear Kernel
automobile
Data Set Name
6
Number of Classes
127/32
Number of Instances (train/test)
75
Number of Attributes
Polynomial Kernel
automobile
Data Set Name
6
Number of Classes
127/32
Number of Instances (train/test)
75
Number of Attributes
RBF-Kernel
automobile
Data Set Name
6
Number of Classes
127/32
Number of Instances (train/test)
75
Number of Attributes
Linear Kernel
balance
Data Set Name
3
Number of Classes
500/125
Number of Instances (train/test)
3
Number of Attributes
Polynomial Kernel
balance
Data Set Name
3
Number of Classes
500/125
Number of Instances (train/test)
3
Number of Attributes
RBF-Kernel
balance
Data Set Name
3
Number of Classes
500/125
Number of Instances (train/test)
3
Number of Attributes
Linear Kernel
banana
Data Set Name
2
Number of Classes
4240/1060
Number of Instances (train/test)
2
Number of Attributes
Polynomial Kernel
banana
Data Set Name
2
Number of Classes
4240/1060
Number of Instances (train/test)
2
Number of Attributes
RBF-Kernel
banana
Data Set Name
2
Number of Classes
4240/1060
Number of Instances (train/test)
2
Number of Attributes
Linear Kernel
bands
Data Set Name
2
Number of Classes
292/73
Number of Instances (train/test)
19
Number of Attributes
Polynomial Kernel
bands
Data Set Name
2
Number of Classes
292/73
Number of Instances (train/test)
19
Number of Attributes
RBF-Kernel
bands
Data Set Name
2
Number of Classes
292/73
Number of Instances (train/test)
19
Number of Attributes
Linear Kernel
breast-cancer
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
breast-cancer
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
breast-cancer
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
bupa
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
Polynomial Kernel
bupa
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
RBF-Kernel
bupa
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
Linear Kernel
car
Data Set Name
4
Number of Classes
1382/346
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
car
Data Set Name
4
Number of Classes
1382/346
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
car
Data Set Name
4
Number of Classes
1382/346
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
census
Data Set Name
2
Number of Classes
114016/28505
Number of Instances (train/test)
396
Number of Attributes
Polynomial Kernel
census
Data Set Name
2
Number of Classes
114016/28505
Number of Instances (train/test)
396
Number of Attributes
RBF-Kernel
census
Data Set Name
2
Number of Classes
114016/28505
Number of Instances (train/test)
396
Number of Attributes
Linear Kernel
chess
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
72
Number of Attributes
Polynomial Kernel
chess
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
72
Number of Attributes
RBF-Kernel
chess
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
72
Number of Attributes
Linear Kernel
cleveland
Data Set Name
5
Number of Classes
237/60
Number of Instances (train/test)
13
Number of Attributes
Polynomial Kernel
cleveland
Data Set Name
5
Number of Classes
237/60
Number of Instances (train/test)
13
Number of Attributes
RBF-Kernel
cleveland
Data Set Name
5
Number of Classes
237/60
Number of Instances (train/test)
13
Number of Attributes
Linear Kernel
cmc
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
cmc
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
cmc
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
cod-rna
Data Set Name
2
Number of Classes
264921/66231
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
cod-rna
Data Set Name
2
Number of Classes
264921/66231
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
cod-rna
Data Set Name
2
Number of Classes
264921/66231
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
coil2000
Data Set Name
2
Number of Classes
7857/1965
Number of Instances (train/test)
80
Number of Attributes
Polynomial Kernel
coil2000
Data Set Name
2
Number of Classes
7857/1965
Number of Instances (train/test)
80
Number of Attributes
RBF-Kernel
coil2000
Data Set Name
2
Number of Classes
7857/1965
Number of Instances (train/test)
80
Number of Attributes
Linear Kernel
colon-cancer
Data Set Name
2
Number of Classes
49/13
Number of Instances (train/test)
2000
Number of Attributes
Polynomial Kernel
colon-cancer
Data Set Name
2
Number of Classes
49/13
Number of Instances (train/test)
2000
Number of Attributes
RBF-Kernel
colon-cancer
Data Set Name
2
Number of Classes
49/13
Number of Instances (train/test)
2000
Number of Attributes
Linear Kernel
connect-4
Data Set Name
3
Number of Classes
54045/13512
Number of Instances (train/test)
125
Number of Attributes
Polynomial Kernel
connect-4
Data Set Name
3
Number of Classes
54045/13512
Number of Instances (train/test)
125
Number of Attributes
RBF-Kernel
connect-4
Data Set Name
3
Number of Classes
54045/13512
Number of Instances (train/test)
125
Number of Attributes
Linear Kernel
contraceptive
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
9
Number of Attributes
Polynomial Kernel
contraceptive
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
9
Number of Attributes
RBF-Kernel
contraceptive
Data Set Name
3
Number of Classes
1178/295
Number of Instances (train/test)
9
Number of Attributes
Linear Kernel
covtypem
Data Set Name
7
Number of Classes
464809/116203
Number of Instances (train/test)
19
Number of Attributes
Polynomial Kernel
covtypem
Data Set Name
7
Number of Classes
464809/116203
Number of Instances (train/test)
19
Number of Attributes
RBF-Kernel
covtypem
Data Set Name
7
Number of Classes
464809/116203
Number of Instances (train/test)
19
Number of Attributes
Linear Kernel
credit-g
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
credit-g
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
credit-g
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
crx
Data Set Name
2
Number of Classes
522/131
Number of Instances (train/test)
45
Number of Attributes
Polynomial Kernel
crx
Data Set Name
2
Number of Classes
522/131
Number of Instances (train/test)
45
Number of Attributes
RBF-Kernel
crx
Data Set Name
2
Number of Classes
522/131
Number of Instances (train/test)
45
Number of Attributes
Linear Kernel
dermatology
Data Set Name
6
Number of Classes
286/72
Number of Instances (train/test)
34
Number of Attributes
Polynomial Kernel
dermatology
Data Set Name
6
Number of Classes
286/72
Number of Instances (train/test)
34
Number of Attributes
RBF-Kernel
dermatology
Data Set Name
6
Number of Classes
286/72
Number of Instances (train/test)
34
Number of Attributes
Linear Kernel
diabetes
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
diabetes
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
diabetes
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
dna
Data Set Name
3
Number of Classes
1600/400
Number of Instances (train/test)
180
Number of Attributes
Polynomial Kernel
dna
Data Set Name
3
Number of Classes
1600/400
Number of Instances (train/test)
180
Number of Attributes
RBF-Kernel
dna
Data Set Name
3
Number of Classes
1600/400
Number of Instances (train/test)
180
Number of Attributes
Linear Kernel
duke-breast-cancer
Data Set Name
2
Number of Classes
35/9
Number of Instances (train/test)
7129
Number of Attributes
Polynomial Kernel
duke-breast-cancer
Data Set Name
2
Number of Classes
35/9
Number of Instances (train/test)
7129
Number of Attributes
RBF-Kernel
duke-breast-cancer
Data Set Name
2
Number of Classes
35/9
Number of Instances (train/test)
7129
Number of Attributes
Linear Kernel
ecoli
Data Set Name
8
Number of Classes
268/68
Number of Instances (train/test)
7
Number of Attributes
Polynomial Kernel
ecoli
Data Set Name
8
Number of Classes
268/68
Number of Instances (train/test)
7
Number of Attributes
RBF-Kernel
ecoli
Data Set Name
8
Number of Classes
268/68
Number of Instances (train/test)
7
Number of Attributes
Linear Kernel
factors
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
216
Number of Attributes
Polynomial Kernel
factors
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
216
Number of Attributes
RBF-Kernel
factors
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
216
Number of Attributes
Linear Kernel
flare
Data Set Name
6
Number of Classes
852/214
Number of Instances (train/test)
40
Number of Attributes
Polynomial Kernel
flare
Data Set Name
6
Number of Classes
852/214
Number of Instances (train/test)
40
Number of Attributes
RBF-Kernel
flare
Data Set Name
6
Number of Classes
852/214
Number of Instances (train/test)
40
Number of Attributes
Linear Kernel
fourclass
Data Set Name
2
Number of Classes
689/173
Number of Instances (train/test)
2
Number of Attributes
Polynomial Kernel
fourclass
Data Set Name
2
Number of Classes
689/173
Number of Instances (train/test)
2
Number of Attributes
RBF-Kernel
fourclass
Data Set Name
2
Number of Classes
689/173
Number of Instances (train/test)
2
Number of Attributes
Linear Kernel
fourier
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
76
Number of Attributes
Polynomial Kernel
fourier
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
76
Number of Attributes
RBF-Kernel
fourier
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
76
Number of Attributes
Linear Kernel
german-numer
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
23
Number of Attributes
Polynomial Kernel
german-numer
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
23
Number of Attributes
RBF-Kernel
german-numer
Data Set Name
2
Number of Classes
800/200
Number of Instances (train/test)
23
Number of Attributes
Linear Kernel
gisette
Data Set Name
2
Number of Classes
5600/1400
Number of Instances (train/test)
4996
Number of Attributes
Polynomial Kernel
gisette
Data Set Name
2
Number of Classes
5600/1400
Number of Instances (train/test)
4996
Number of Attributes
RBF-Kernel
gisette
Data Set Name
2
Number of Classes
5600/1400
Number of Instances (train/test)
4996
Number of Attributes
Linear Kernel
haberman
Data Set Name
2
Number of Classes
244/62
Number of Instances (train/test)
3
Number of Attributes
Polynomial Kernel
haberman
Data Set Name
2
Number of Classes
244/62
Number of Instances (train/test)
3
Number of Attributes
RBF-Kernel
haberman
Data Set Name
2
Number of Classes
244/62
Number of Instances (train/test)
3
Number of Attributes
Linear Kernel
hayes-roth
Data Set Name
3
Number of Classes
128/32
Number of Instances (train/test)
4
Number of Attributes
Polynomial Kernel
hayes-roth
Data Set Name
3
Number of Classes
128/32
Number of Instances (train/test)
4
Number of Attributes
RBF-Kernel
hayes-roth
Data Set Name
3
Number of Classes
128/32
Number of Instances (train/test)
4
Number of Attributes
Linear Kernel
heart
Data Set Name
2
Number of Classes
216/54
Number of Instances (train/test)
13
Number of Attributes
Polynomial Kernel
heart
Data Set Name
2
Number of Classes
216/54
Number of Instances (train/test)
13
Number of Attributes
RBF-Kernel
heart
Data Set Name
2
Number of Classes
216/54
Number of Instances (train/test)
13
Number of Attributes
Linear Kernel
hepatitis
Data Set Name
2
Number of Classes
64/16
Number of Instances (train/test)
18
Number of Attributes
Polynomial Kernel
hepatitis
Data Set Name
2
Number of Classes
64/16
Number of Instances (train/test)
18
Number of Attributes
RBF-Kernel
hepatitis
Data Set Name
2
Number of Classes
64/16
Number of Instances (train/test)
18
Number of Attributes
Linear Kernel
housevotes
Data Set Name
2
Number of Classes
185/47
Number of Instances (train/test)
31
Number of Attributes
Polynomial Kernel
housevotes
Data Set Name
2
Number of Classes
185/47
Number of Instances (train/test)
31
Number of Attributes
RBF-Kernel
housevotes
Data Set Name
2
Number of Classes
185/47
Number of Instances (train/test)
31
Number of Attributes
Linear Kernel
ijcnn1
Data Set Name
2
Number of Classes
101360/25341
Number of Instances (train/test)
22
Number of Attributes
Polynomial Kernel
ijcnn1
Data Set Name
2
Number of Classes
101360/25341
Number of Instances (train/test)
22
Number of Attributes
RBF-Kernel
ijcnn1
Data Set Name
2
Number of Classes
101360/25341
Number of Instances (train/test)
22
Number of Attributes
Linear Kernel
ionosphere
Data Set Name
2
Number of Classes
280/71
Number of Instances (train/test)
34
Number of Attributes
Polynomial Kernel
ionosphere
Data Set Name
2
Number of Classes
280/71
Number of Instances (train/test)
34
Number of Attributes
RBF-Kernel
ionosphere
Data Set Name
2
Number of Classes
280/71
Number of Instances (train/test)
34
Number of Attributes
Linear Kernel
iris
Data Set Name
3
Number of Classes
120/30
Number of Instances (train/test)
4
Number of Attributes
Polynomial Kernel
iris
Data Set Name
3
Number of Classes
120/30
Number of Instances (train/test)
4
Number of Attributes
RBF-Kernel
iris
Data Set Name
3
Number of Classes
120/30
Number of Instances (train/test)
4
Number of Attributes
Linear Kernel
karhunen
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
64
Number of Attributes
Polynomial Kernel
karhunen
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
64
Number of Attributes
RBF-Kernel
karhunen
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
64
Number of Attributes
Linear Kernel
kddcup
Data Set Name
23
Number of Classes
395216/98804
Number of Instances (train/test)
138
Number of Attributes
Polynomial Kernel
kddcup
Data Set Name
23
Number of Classes
395216/98804
Number of Instances (train/test)
138
Number of Attributes
RBF-Kernel
kddcup
Data Set Name
23
Number of Classes
395216/98804
Number of Instances (train/test)
138
Number of Attributes
Linear Kernel
kr-vs-k
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
44
Number of Attributes
Polynomial Kernel
kr-vs-k
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
44
Number of Attributes
RBF-Kernel
kr-vs-k
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
44
Number of Attributes
Linear Kernel
kr-vs-kp
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
36
Number of Attributes
Polynomial Kernel
kr-vs-kp
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
36
Number of Attributes
RBF-Kernel
kr-vs-kp
Data Set Name
2
Number of Classes
2556/640
Number of Instances (train/test)
36
Number of Attributes
Linear Kernel
kropt
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
6
Number of Attributes
Polynomial Kernel
kropt
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
6
Number of Attributes
RBF-Kernel
kropt
Data Set Name
18
Number of Classes
22444/5612
Number of Instances (train/test)
6
Number of Attributes
Linear Kernel
led7digit
Data Set Name
10
Number of Classes
400/100
Number of Instances (train/test)
5
Number of Attributes
Polynomial Kernel
led7digit
Data Set Name
10
Number of Classes
400/100
Number of Instances (train/test)
5
Number of Attributes
RBF-Kernel
led7digit
Data Set Name
10
Number of Classes
400/100
Number of Instances (train/test)
5
Number of Attributes
Linear Kernel
letter
Data Set Name
26
Number of Classes
12000/3000
Number of Instances (train/test)
16
Number of Attributes
Polynomial Kernel
letter
Data Set Name
26
Number of Classes
12000/3000
Number of Instances (train/test)
16
Number of Attributes
RBF-Kernel
letter
Data Set Name
26
Number of Classes
12000/3000
Number of Instances (train/test)
16
Number of Attributes
Linear Kernel
leukemia
Data Set Name
2
Number of Classes
57/15
Number of Instances (train/test)
7129
Number of Attributes
Polynomial Kernel
leukemia
Data Set Name
2
Number of Classes
57/15
Number of Instances (train/test)
7129
Number of Attributes
RBF-Kernel
leukemia
Data Set Name
2
Number of Classes
57/15
Number of Instances (train/test)
7129
Number of Attributes
Linear Kernel
liver-disorders
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
Polynomial Kernel
liver-disorders
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
RBF-Kernel
liver-disorders
Data Set Name
2
Number of Classes
276/69
Number of Instances (train/test)
6
Number of Attributes
Linear Kernel
lymphography
Data Set Name
3
Number of Classes
118/30
Number of Instances (train/test)
46
Number of Attributes
Polynomial Kernel
lymphography
Data Set Name
3
Number of Classes
118/30
Number of Instances (train/test)
46
Number of Attributes
RBF-Kernel
lymphography
Data Set Name
3
Number of Classes
118/30
Number of Instances (train/test)
46
Number of Attributes
Linear Kernel
magic
Data Set Name
2
Number of Classes
15216/3804
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
magic
Data Set Name
2
Number of Classes
15216/3804
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
magic
Data Set Name
2
Number of Classes
15216/3804
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
mammographic
Data Set Name
2
Number of Classes
664/166
Number of Instances (train/test)
5
Number of Attributes
Polynomial Kernel
mammographic
Data Set Name
2
Number of Classes
664/166
Number of Instances (train/test)
5
Number of Attributes
RBF-Kernel
mammographic
Data Set Name
2
Number of Classes
664/166
Number of Instances (train/test)
5
Number of Attributes
Linear Kernel
marketing
Data Set Name
9
Number of Classes
5500/1376
Number of Instances (train/test)
12
Number of Attributes
Polynomial Kernel
marketing
Data Set Name
9
Number of Classes
5500/1376
Number of Instances (train/test)
12
Number of Attributes
RBF-Kernel
marketing
Data Set Name
9
Number of Classes
5500/1376
Number of Instances (train/test)
12
Number of Attributes
Linear Kernel
mnist
Data Set Name
10
Number of Classes
56000/14000
Number of Instances (train/test)
660
Number of Attributes
Polynomial Kernel
mnist
Data Set Name
10
Number of Classes
56000/14000
Number of Instances (train/test)
660
Number of Attributes
RBF-Kernel
mnist
Data Set Name
10
Number of Classes
56000/14000
Number of Instances (train/test)
660
Number of Attributes
Linear Kernel
molecular-biology
Data Set Name
4
Number of Classes
84/22
Number of Instances (train/test)
57
Number of Attributes
Polynomial Kernel
molecular-biology
Data Set Name
4
Number of Classes
84/22
Number of Instances (train/test)
57
Number of Attributes
RBF-Kernel
molecular-biology
Data Set Name
4
Number of Classes
84/22
Number of Instances (train/test)
57
Number of Attributes
Linear Kernel
monk-2
Data Set Name
2
Number of Classes
345/87
Number of Instances (train/test)
6
Number of Attributes
Polynomial Kernel
monk-2
Data Set Name
2
Number of Classes
345/87
Number of Instances (train/test)
6
Number of Attributes
RBF-Kernel
monk-2
Data Set Name
2
Number of Classes
345/87
Number of Instances (train/test)
6
Number of Attributes
Linear Kernel
morphological
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
6
Number of Attributes
Polynomial Kernel
morphological
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
6
Number of Attributes
RBF-Kernel
morphological
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
6
Number of Attributes
Linear Kernel
movement_libras
Data Set Name
15
Number of Classes
288/72
Number of Instances (train/test)
90
Number of Attributes
Polynomial Kernel
movement_libras
Data Set Name
15
Number of Classes
288/72
Number of Instances (train/test)
90
Number of Attributes
RBF-Kernel
movement_libras
Data Set Name
15
Number of Classes
288/72
Number of Instances (train/test)
90
Number of Attributes
Linear Kernel
mushrooms
Data Set Name
2
Number of Classes
6499/1625
Number of Instances (train/test)
107
Number of Attributes
Polynomial Kernel
mushrooms
Data Set Name
2
Number of Classes
6499/1625
Number of Instances (train/test)
107
Number of Attributes
RBF-Kernel
mushrooms
Data Set Name
2
Number of Classes
6499/1625
Number of Instances (train/test)
107
Number of Attributes
Linear Kernel
news20m
Data Set Name
20
Number of Classes
12748/3187
Number of Instances (train/test)
28520
Number of Attributes
Polynomial Kernel
news20m
Data Set Name
20
Number of Classes
12748/3187
Number of Instances (train/test)
28520
Number of Attributes
RBF-Kernel
news20m
Data Set Name
20
Number of Classes
12748/3187
Number of Instances (train/test)
28520
Number of Attributes
Linear Kernel
newthyroid
Data Set Name
3
Number of Classes
172/43
Number of Instances (train/test)
5
Number of Attributes
Polynomial Kernel
newthyroid
Data Set Name
3
Number of Classes
172/43
Number of Instances (train/test)
5
Number of Attributes
RBF-Kernel
newthyroid
Data Set Name
3
Number of Classes
172/43
Number of Instances (train/test)
5
Number of Attributes
Linear Kernel
nursery
Data Set Name
5
Number of Classes
10368/2592
Number of Instances (train/test)
27
Number of Attributes
Polynomial Kernel
nursery
Data Set Name
5
Number of Classes
10368/2592
Number of Instances (train/test)
27
Number of Attributes
RBF-Kernel
nursery
Data Set Name
5
Number of Classes
10368/2592
Number of Instances (train/test)
27
Number of Attributes
Linear Kernel
optdigits
Data Set Name
10
Number of Classes
4496/1124
Number of Instances (train/test)
61
Number of Attributes
Polynomial Kernel
optdigits
Data Set Name
10
Number of Classes
4496/1124
Number of Instances (train/test)
61
Number of Attributes
RBF-Kernel
optdigits
Data Set Name
10
Number of Classes
4496/1124
Number of Instances (train/test)
61
Number of Attributes
Linear Kernel
page-blocks
Data Set Name
5
Number of Classes
4377/1095
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
page-blocks
Data Set Name
5
Number of Classes
4377/1095
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
page-blocks
Data Set Name
5
Number of Classes
4377/1095
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
pendigits
Data Set Name
10
Number of Classes
8793/2199
Number of Instances (train/test)
15
Number of Attributes
Polynomial Kernel
pendigits
Data Set Name
10
Number of Classes
8793/2199
Number of Instances (train/test)
15
Number of Attributes
RBF-Kernel
pendigits
Data Set Name
10
Number of Classes
8793/2199
Number of Instances (train/test)
15
Number of Attributes
Linear Kernel
phoneme
Data Set Name
2
Number of Classes
4323/1081
Number of Instances (train/test)
5
Number of Attributes
Polynomial Kernel
phoneme
Data Set Name
2
Number of Classes
4323/1081
Number of Instances (train/test)
5
Number of Attributes
RBF-Kernel
phoneme
Data Set Name
2
Number of Classes
4323/1081
Number of Instances (train/test)
5
Number of Attributes
Linear Kernel
pima
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
pima
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
pima
Data Set Name
2
Number of Classes
614/154
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
pixel
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
239
Number of Attributes
Polynomial Kernel
pixel
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
239
Number of Attributes
RBF-Kernel
pixel
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
239
Number of Attributes
Linear Kernel
post-operative
Data Set Name
3
Number of Classes
69/18
Number of Instances (train/test)
21
Number of Attributes
Polynomial Kernel
post-operative
Data Set Name
3
Number of Classes
69/18
Number of Instances (train/test)
21
Number of Attributes
RBF-Kernel
post-operative
Data Set Name
3
Number of Classes
69/18
Number of Instances (train/test)
21
Number of Attributes
Linear Kernel
rcv1
Data Set Name
2
Number of Classes
16193/4049
Number of Instances (train/test)
46195
Number of Attributes
Polynomial Kernel
rcv1
Data Set Name
2
Number of Classes
16193/4049
Number of Instances (train/test)
46195
Number of Attributes
RBF-Kernel
rcv1
Data Set Name
2
Number of Classes
16193/4049
Number of Instances (train/test)
46195
Number of Attributes
Linear Kernel
real-sim
Data Set Name
2
Number of Classes
57847/14462
Number of Instances (train/test)
20508
Number of Attributes
Polynomial Kernel
real-sim
Data Set Name
2
Number of Classes
57847/14462
Number of Instances (train/test)
20508
Number of Attributes
RBF-Kernel
real-sim
Data Set Name
2
Number of Classes
57847/14462
Number of Instances (train/test)
20508
Number of Attributes
Linear Kernel
ring
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
ring
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
ring
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
saheart
Data Set Name
2
Number of Classes
369/93
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
saheart
Data Set Name
2
Number of Classes
369/93
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
saheart
Data Set Name
2
Number of Classes
369/93
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
satimage
Data Set Name
6
Number of Classes
3548/887
Number of Instances (train/test)
36
Number of Attributes
Polynomial Kernel
satimage
Data Set Name
6
Number of Classes
3548/887
Number of Instances (train/test)
36
Number of Attributes
RBF-Kernel
satimage
Data Set Name
6
Number of Classes
3548/887
Number of Instances (train/test)
36
Number of Attributes
Linear Kernel
segment
Data Set Name
7
Number of Classes
1848/462
Number of Instances (train/test)
19
Number of Attributes
Polynomial Kernel
segment
Data Set Name
7
Number of Classes
1848/462
Number of Instances (train/test)
19
Number of Attributes
RBF-Kernel
segment
Data Set Name
7
Number of Classes
1848/462
Number of Instances (train/test)
19
Number of Attributes
Linear Kernel
seismic
Data Set Name
3
Number of Classes
78822/19706
Number of Instances (train/test)
50
Number of Attributes
Polynomial Kernel
seismic
Data Set Name
3
Number of Classes
78822/19706
Number of Instances (train/test)
50
Number of Attributes
RBF-Kernel
seismic
Data Set Name
3
Number of Classes
78822/19706
Number of Instances (train/test)
50
Number of Attributes
Linear Kernel
shuttle
Data Set Name
7
Number of Classes
34800/8700
Number of Instances (train/test)
9
Number of Attributes
Polynomial Kernel
shuttle
Data Set Name
7
Number of Classes
34800/8700
Number of Instances (train/test)
9
Number of Attributes
RBF-Kernel
shuttle
Data Set Name
7
Number of Classes
34800/8700
Number of Instances (train/test)
9
Number of Attributes
Linear Kernel
solar-flare
Data Set Name
3
Number of Classes
852/214
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
solar-flare
Data Set Name
3
Number of Classes
852/214
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
solar-flare
Data Set Name
3
Number of Classes
852/214
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
sonar-scale
Data Set Name
2
Number of Classes
166/42
Number of Instances (train/test)
60
Number of Attributes
Polynomial Kernel
sonar-scale
Data Set Name
2
Number of Classes
166/42
Number of Instances (train/test)
60
Number of Attributes
RBF-Kernel
sonar-scale
Data Set Name
2
Number of Classes
166/42
Number of Instances (train/test)
60
Number of Attributes
Linear Kernel
spambase
Data Set Name
2
Number of Classes
3677/920
Number of Instances (train/test)
57
Number of Attributes
Polynomial Kernel
spambase
Data Set Name
2
Number of Classes
3677/920
Number of Instances (train/test)
57
Number of Attributes
RBF-Kernel
spambase
Data Set Name
2
Number of Classes
3677/920
Number of Instances (train/test)
57
Number of Attributes
Linear Kernel
spectfheart
Data Set Name
2
Number of Classes
213/54
Number of Instances (train/test)
44
Number of Attributes
Polynomial Kernel
spectfheart
Data Set Name
2
Number of Classes
213/54
Number of Instances (train/test)
44
Number of Attributes
RBF-Kernel
spectfheart
Data Set Name
2
Number of Classes
213/54
Number of Instances (train/test)
44
Number of Attributes
Linear Kernel
splice
Data Set Name
2
Number of Classes
2540/635
Number of Instances (train/test)
58
Number of Attributes
Polynomial Kernel
splice
Data Set Name
2
Number of Classes
2540/635
Number of Instances (train/test)
58
Number of Attributes
RBF-Kernel
splice
Data Set Name
2
Number of Classes
2540/635
Number of Instances (train/test)
58
Number of Attributes
Linear Kernel
svmguide1
Data Set Name
2
Number of Classes
5671/1418
Number of Instances (train/test)
4
Number of Attributes
Polynomial Kernel
svmguide1
Data Set Name
2
Number of Classes
5671/1418
Number of Instances (train/test)
4
Number of Attributes
RBF-Kernel
svmguide1
Data Set Name
2
Number of Classes
5671/1418
Number of Instances (train/test)
4
Number of Attributes
Linear Kernel
svmguide2
Data Set Name
3
Number of Classes
312/79
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
svmguide2
Data Set Name
3
Number of Classes
312/79
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
svmguide2
Data Set Name
3
Number of Classes
312/79
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
svmguide3
Data Set Name
2
Number of Classes
1027/257
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
svmguide3
Data Set Name
2
Number of Classes
1027/257
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
svmguide3
Data Set Name
2
Number of Classes
1027/257
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
svmguide4
Data Set Name
6
Number of Classes
489/123
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
svmguide4
Data Set Name
6
Number of Classes
489/123
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
svmguide4
Data Set Name
6
Number of Classes
489/123
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
tae
Data Set Name
3
Number of Classes
120/31
Number of Instances (train/test)
5
Number of Attributes
Polynomial Kernel
tae
Data Set Name
3
Number of Classes
120/31
Number of Instances (train/test)
5
Number of Attributes
RBF-Kernel
tae
Data Set Name
3
Number of Classes
120/31
Number of Instances (train/test)
5
Number of Attributes
Linear Kernel
texture
Data Set Name
11
Number of Classes
4400/1100
Number of Instances (train/test)
40
Number of Attributes
Polynomial Kernel
texture
Data Set Name
11
Number of Classes
4400/1100
Number of Instances (train/test)
40
Number of Attributes
RBF-Kernel
texture
Data Set Name
11
Number of Classes
4400/1100
Number of Instances (train/test)
40
Number of Attributes
Linear Kernel
thyroid
Data Set Name
3
Number of Classes
5760/1440
Number of Instances (train/test)
21
Number of Attributes
Polynomial Kernel
thyroid
Data Set Name
3
Number of Classes
5760/1440
Number of Instances (train/test)
21
Number of Attributes
RBF-Kernel
thyroid
Data Set Name
3
Number of Classes
5760/1440
Number of Instances (train/test)
21
Number of Attributes
Linear Kernel
tic-tac-toe
Data Set Name
2
Number of Classes
766/192
Number of Instances (train/test)
26
Number of Attributes
Polynomial Kernel
tic-tac-toe
Data Set Name
2
Number of Classes
766/192
Number of Instances (train/test)
26
Number of Attributes
RBF-Kernel
tic-tac-toe
Data Set Name
2
Number of Classes
766/192
Number of Instances (train/test)
26
Number of Attributes
Linear Kernel
titanic
Data Set Name
2
Number of Classes
1760/441
Number of Instances (train/test)
3
Number of Attributes
Polynomial Kernel
titanic
Data Set Name
2
Number of Classes
1760/441
Number of Instances (train/test)
3
Number of Attributes
RBF-Kernel
titanic
Data Set Name
2
Number of Classes
1760/441
Number of Instances (train/test)
3
Number of Attributes
Linear Kernel
twonorm
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
Polynomial Kernel
twonorm
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
RBF-Kernel
twonorm
Data Set Name
2
Number of Classes
5920/1480
Number of Instances (train/test)
20
Number of Attributes
Linear Kernel
usps
Data Set Name
10
Number of Classes
7438/1860
Number of Instances (train/test)
255
Number of Attributes
Polynomial Kernel
usps
Data Set Name
10
Number of Classes
7438/1860
Number of Instances (train/test)
255
Number of Attributes
RBF-Kernel
usps
Data Set Name
10
Number of Classes
7438/1860
Number of Instances (train/test)
255
Number of Attributes
Linear Kernel
vehicle
Data Set Name
4
Number of Classes
676/170
Number of Instances (train/test)
18
Number of Attributes
Polynomial Kernel
vehicle
Data Set Name
4
Number of Classes
676/170
Number of Instances (train/test)
18
Number of Attributes
RBF-Kernel
vehicle
Data Set Name
4
Number of Classes
676/170
Number of Instances (train/test)
18
Number of Attributes
Linear Kernel
vowel
Data Set Name
11
Number of Classes
422/106
Number of Instances (train/test)
10
Number of Attributes
Polynomial Kernel
vowel
Data Set Name
11
Number of Classes
422/106
Number of Instances (train/test)
10
Number of Attributes
RBF-Kernel
vowel
Data Set Name
11
Number of Classes
422/106
Number of Instances (train/test)
10
Number of Attributes
Linear Kernel
W8A
Data Set Name
2
Number of Classes
51760/12940
Number of Instances (train/test)
299
Number of Attributes
Polynomial Kernel
W8A
Data Set Name
2
Number of Classes
51760/12940
Number of Instances (train/test)
299
Number of Attributes
RBF-Kernel
W8A
Data Set Name
2
Number of Classes
51760/12940
Number of Instances (train/test)
299
Number of Attributes
Linear Kernel
waveform-5000
Data Set Name
3
Number of Classes
4000/1000
Number of Instances (train/test)
40
Number of Attributes
Polynomial Kernel
waveform-5000
Data Set Name
3
Number of Classes
4000/1000
Number of Instances (train/test)
40
Number of Attributes
RBF-Kernel
waveform-5000
Data Set Name
3
Number of Classes
4000/1000
Number of Instances (train/test)
40
Number of Attributes
Linear Kernel
wdbc
Data Set Name
2
Number of Classes
455/114
Number of Instances (train/test)
30
Number of Attributes
Polynomial Kernel
wdbc
Data Set Name
2
Number of Classes
455/114
Number of Instances (train/test)
30
Number of Attributes
RBF-Kernel
wdbc
Data Set Name
2
Number of Classes
455/114
Number of Instances (train/test)
30
Number of Attributes
Linear Kernel
wine
Data Set Name
3
Number of Classes
142/36
Number of Instances (train/test)
13
Number of Attributes
Polynomial Kernel
wine
Data Set Name
3
Number of Classes
142/36
Number of Instances (train/test)
13
Number of Attributes
RBF-Kernel
wine
Data Set Name
3
Number of Classes
142/36
Number of Instances (train/test)
13
Number of Attributes
Linear Kernel
winequality-red
Data Set Name
6
Number of Classes
1279/320
Number of Instances (train/test)
11
Number of Attributes
Polynomial Kernel
winequality-red
Data Set Name
6
Number of Classes
1279/320
Number of Instances (train/test)
11
Number of Attributes
RBF-Kernel
winequality-red
Data Set Name
6
Number of Classes
1279/320
Number of Instances (train/test)
11
Number of Attributes
Linear Kernel
winequality-white
Data Set Name
7
Number of Classes
3918/980
Number of Instances (train/test)
11
Number of Attributes
Polynomial Kernel
winequality-white
Data Set Name
7
Number of Classes
3918/980
Number of Instances (train/test)
11
Number of Attributes
RBF-Kernel
winequality-white
Data Set Name
7
Number of Classes
3918/980
Number of Instances (train/test)
11
Number of Attributes
Linear Kernel
wisconsin
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
9
Number of Attributes
Polynomial Kernel
wisconsin
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
9
Number of Attributes
RBF-Kernel
wisconsin
Data Set Name
2
Number of Classes
546/137
Number of Instances (train/test)
9
Number of Attributes
Linear Kernel
yeast
Data Set Name
10
Number of Classes
1187/297
Number of Instances (train/test)
8
Number of Attributes
Polynomial Kernel
yeast
Data Set Name
10
Number of Classes
1187/297
Number of Instances (train/test)
8
Number of Attributes
RBF-Kernel
yeast
Data Set Name
10
Number of Classes
1187/297
Number of Instances (train/test)
8
Number of Attributes
Linear Kernel
zernike
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
47
Number of Attributes
Polynomial Kernel
zernike
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
47
Number of Attributes
RBF-Kernel
zernike
Data Set Name
10
Number of Classes
1600/400
Number of Instances (train/test)
47
Number of Attributes
Linear Kernel
zoo
Data Set Name
7
Number of Classes
80/21
Number of Instances (train/test)
35
Number of Attributes
Polynomial Kernel
zoo
Data Set Name
7
Number of Classes
80/21
Number of Instances (train/test)
35
Number of Attributes
RBF-Kernel
zoo
Data Set Name
7
Number of Classes
80/21
Number of Instances (train/test)
35
Number of Attributes