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trigram_parameter_sweep_genre_extra.txt
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trigram_parameter_sweep_genre_extra.txt
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1000
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.408425 s
Extract genre features: 5.523046 s
B = 0
Average norm = 953.583048609
Number of features = 263296
Train genre Classifier: 55.93054 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 77 0 0 0 0 0 0 0 0 0 77
elect 0 71 0 0 0 1 0 0 0 0 72
indie 0 0 63 0 0 2 0 1 0 0 66
hipho 0 0 0 145 0 0 0 0 0 0 145
punk 0 0 0 0 26 0 0 0 0 0 26
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 0 3 0 0 258 1 0 0 262
rock 0 0 0 0 0 0 2 118 0 0 120
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 80 80
Got 77 71 63 148 26 78 260 120 77 80 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 0 0 0 3 0 1 6 6 1 0 17
elect 0 0 0 3 1 1 6 1 2 1 15
indie 3 0 2 5 0 2 0 2 1 0 15
hipho 0 2 0 19 0 1 5 0 0 0 27
punk 1 0 1 0 1 0 2 1 1 0 7
metal 0 0 0 3 0 2 1 3 0 2 11
pop 4 1 1 8 0 1 30 4 2 0 51
rock 0 0 0 5 2 3 5 9 4 3 31
blues 0 0 0 5 0 0 3 0 4 0 12
alter 0 0 0 6 0 0 4 2 1 1 14
Got 8 3 4 57 4 11 62 28 16 7 200
Error checking: 5.403439 s
Genre Train Error: 0.01
Genre Test Error: 0.66 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.34564 s
Extract genre features: 5.469972 s
B = 0
Average norm = 961.313948525
Number of features = 264403
Train genre Classifier: 63.042225 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 69 0 0 0 0 0 0 0 0 0 69
elect 0 77 0 0 0 0 0 0 0 0 77
indie 0 0 68 0 0 0 0 0 0 0 68
hipho 0 0 0 155 0 0 0 0 0 0 155
punk 0 0 0 0 27 0 0 0 0 0 27
metal 0 0 0 0 0 72 0 0 0 0 72
pop 0 0 0 2 0 1 254 3 1 0 261
rock 0 0 0 0 0 0 0 111 0 0 111
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 83 83
Got 69 77 68 157 27 73 254 114 78 83 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 4 0 1 3 1 1 1 8 1 1 21
elect 0 2 2 2 0 2 3 3 3 0 17
indie 1 0 2 1 0 1 2 4 1 0 12
hipho 1 0 3 14 0 0 3 1 0 0 22
punk 0 0 1 1 0 1 0 3 2 0 8
metal 2 0 0 2 0 4 4 3 1 1 17
pop 3 1 4 4 3 8 10 8 1 3 45
rock 4 0 4 1 2 4 4 11 3 0 33
blues 0 0 1 1 0 0 2 1 7 1 13
alter 2 0 2 3 1 0 2 1 0 1 12
Got 17 3 20 32 7 21 31 43 19 7 200
Error checking: 5.314928 s
Genre Train Error: 0.007
Genre Test Error: 0.725 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.226165 s
Extract genre features: 5.460478 s
B = 0
Average norm = 1090.47269527
Number of features = 261264
Train genre Classifier: 69.449224 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 72 0 0 0 0 0 0 0 0 0 72
elect 0 73 1 0 0 0 0 0 0 0 74
indie 0 0 74 0 0 0 0 0 0 0 74
hipho 0 0 0 143 0 0 1 0 0 0 144
punk 0 0 0 0 31 0 0 0 0 0 31
metal 0 0 0 0 0 77 0 0 0 0 77
pop 0 0 0 0 0 0 259 0 0 0 259
rock 0 0 0 0 0 0 1 121 0 0 122
blues 0 0 0 0 0 0 0 0 71 0 71
alter 0 0 0 0 0 0 0 0 0 76 76
Got 72 73 75 143 31 77 261 121 71 76 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 0 1 6 0 0 8 1 2 1 21
elect 0 3 0 4 0 1 3 1 1 0 13
indie 2 0 1 5 0 1 3 3 0 2 17
hipho 0 0 0 21 0 0 5 1 1 1 29
punk 1 0 1 1 0 0 1 1 0 1 6
metal 1 1 0 1 1 1 1 3 0 1 10
pop 2 3 0 4 2 1 23 7 2 3 47
rock 2 2 2 6 1 2 5 4 0 2 26
blues 1 1 1 0 0 0 9 2 2 0 16
alter 0 1 1 5 1 1 1 3 1 1 15
Got 11 11 7 53 5 7 59 26 9 12 200
Error checking: 5.304489 s
Genre Train Error: 0.003
Genre Test Error: 0.71 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.227179 s
Extract genre features: 5.458468 s
B = 0
Average norm = 1012.82492069
Number of features = 264960
Train genre Classifier: 79.441931 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 66 0 0 1 0 0 0 0 0 0 67
elect 0 76 0 0 0 0 0 0 0 0 76
indie 0 0 74 0 0 0 0 0 0 0 74
hipho 0 0 0 144 0 0 0 0 0 0 144
punk 0 0 0 0 30 0 0 0 0 0 30
metal 0 0 0 0 0 76 0 0 0 0 76
pop 0 0 0 2 0 0 256 1 0 0 259
rock 0 0 0 0 0 0 0 125 0 0 125
blues 0 0 0 0 0 0 0 0 76 0 76
alter 0 0 0 0 0 0 0 0 0 73 73
Got 66 76 74 147 30 76 256 126 76 73 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 1 0 0 7 0 1 4 3 1 1 18
elect 2 2 0 5 0 0 7 1 1 0 18
indie 1 0 1 4 0 3 6 1 1 1 18
hipho 0 0 0 26 0 0 3 0 0 0 29
punk 1 1 0 1 0 0 0 1 0 0 4
metal 2 0 1 3 0 2 3 2 0 1 14
pop 3 0 1 15 1 0 27 0 0 1 48
rock 1 3 0 7 0 3 6 3 0 1 24
blues 2 2 2 2 0 0 1 0 1 0 10
alter 2 1 2 7 0 0 1 2 0 2 17
Got 15 9 7 77 1 9 58 13 4 7 200
Error checking: 5.287621 s
Genre Train Error: 0.004
Genre Test Error: 0.675 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.238716 s
Extract genre features: 5.489995 s
B = 0
Average norm = 1005.91466142
Number of features = 263281
Train genre Classifier: 88.598503 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 82 0 0 0 0 0 0 0 0 0 82
elect 0 78 0 0 0 0 0 0 0 0 78
indie 0 0 74 0 0 0 0 0 0 0 74
hipho 0 0 0 140 0 0 2 0 0 0 142
punk 0 0 0 0 28 0 0 0 0 0 28
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 0 0 0 0 248 0 0 0 248
rock 0 0 0 0 0 0 2 121 0 0 123
blues 0 0 0 0 0 0 0 0 76 0 76
alter 0 0 0 0 0 0 0 0 0 74 74
Got 82 78 74 140 28 75 252 121 76 74 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 0 0 0 1 0 0 4 1 1 1 8
elect 1 4 1 0 0 1 5 0 1 0 13
indie 3 2 1 0 1 0 3 0 2 0 12
hipho 0 1 0 13 1 1 12 1 3 1 33
punk 0 1 0 1 0 0 3 0 1 1 7
metal 0 0 2 0 0 1 6 1 0 1 11
pop 3 3 0 2 1 1 36 2 5 1 54
rock 2 0 3 0 0 1 14 5 1 2 28
blues 0 1 1 1 0 0 7 1 4 0 15
alter 3 2 1 1 2 0 6 3 1 0 19
Got 12 14 9 19 5 5 96 14 19 7 200
Error checking: 5.34869 s
Genre Train Error: 0.004
Genre Test Error: 0.68 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.227096 s
Extract genre features: 5.458839 s
B = 0
Average norm = 1038.72675404
Number of features = 261828
Train genre Classifier: 95.091777 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 70 0 0 0 0 0 0 0 0 0 70
elect 0 90 0 0 0 0 0 0 0 0 90
indie 0 0 72 0 0 0 0 0 0 0 72
hipho 0 0 0 138 0 0 1 0 0 0 139
punk 0 0 0 0 30 0 0 0 0 0 30
metal 0 0 0 0 0 70 0 0 0 0 70
pop 0 0 0 0 0 0 253 2 0 0 255
rock 0 0 0 0 0 0 0 126 0 0 126
blues 0 0 0 0 0 0 0 0 71 0 71
alter 0 0 0 0 0 0 0 0 0 77 77
Got 70 90 72 138 30 70 254 128 71 77 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 4 0 1 1 0 2 6 1 1 0 16
elect 1 1 0 0 0 1 6 1 0 0 10
indie 2 3 1 1 1 1 4 2 1 1 17
hipho 0 1 0 24 0 0 5 1 0 1 32
punk 1 0 0 0 0 0 2 1 0 0 4
metal 1 0 0 2 0 6 4 3 0 2 18
pop 2 0 1 5 0 0 35 5 2 0 50
rock 3 2 1 1 1 1 8 4 1 0 22
blues 2 0 0 1 1 0 8 1 4 1 18
alter 1 0 1 0 0 1 6 3 1 0 13
Got 17 7 5 35 3 12 84 22 10 5 200
Error checking: 5.357626 s
Genre Train Error: 0.003
Genre Test Error: 0.605 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.224622 s
Extract genre features: 5.43211 s
B = 0
Average norm = 1069.39841042
Number of features = 263817
Train genre Classifier: 53.522349 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 74 0 0 0 0 0 0 0 0 0 74
elect 0 76 0 1 0 0 0 0 0 0 77
indie 0 1 61 0 0 0 0 0 0 1 63
hipho 0 0 0 145 0 0 1 0 0 0 146
punk 0 0 0 0 32 0 0 0 0 0 32
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 0 0 0 0 248 1 0 0 249
rock 0 0 0 0 0 0 2 123 0 0 125
blues 0 0 0 0 0 0 0 0 80 0 80
alter 0 0 0 0 0 0 0 0 0 79 79
Got 74 77 61 146 32 75 251 124 80 80 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 0 0 1 0 3 7 1 1 1 16
elect 0 1 0 0 1 0 7 1 2 0 12
indie 2 2 1 1 1 0 5 4 4 2 22
hipho 2 0 0 15 0 1 8 1 0 2 29
punk 0 0 0 0 0 0 0 2 1 0 3
metal 0 0 0 2 1 3 7 1 0 1 15
pop 4 1 0 7 0 1 29 1 9 4 56
rock 2 0 0 1 0 3 8 4 1 5 24
blues 0 0 0 4 1 0 2 0 2 2 11
alter 0 1 0 2 1 1 1 3 1 2 12
Got 12 5 1 33 5 12 74 18 21 19 200
Error checking: 5.262529 s
Genre Train Error: 0.007
Genre Test Error: 0.705 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.216608 s
Extract genre features: 5.481354 s
B = 0
Average norm = 1047.27746146
Number of features = 262171
Train genre Classifier: 61.759699 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 74 0 0 0 0 0 0 0 0 0 74
elect 0 73 0 0 0 0 0 0 0 0 73
indie 0 0 78 0 0 0 0 0 0 0 78
hipho 0 0 1 140 0 0 1 0 0 0 142
punk 0 0 0 0 28 0 0 0 0 0 28
metal 0 0 0 0 0 71 0 0 0 0 71
pop 0 0 0 1 0 0 267 0 0 0 268
rock 0 0 0 0 0 0 0 123 0 0 123
blues 0 0 0 0 0 0 0 0 74 0 74
alter 0 0 0 0 0 0 0 0 0 69 69
Got 74 73 79 141 28 71 268 123 74 69 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 4 0 6 1 1 0 3 1 2 0 18
elect 2 3 4 4 0 1 5 3 2 0 24
indie 0 0 2 1 0 2 3 1 1 0 10
hipho 2 0 2 21 0 1 4 0 0 0 30
punk 0 0 1 0 0 0 0 2 0 1 4
metal 1 0 4 0 0 3 3 0 1 4 16
pop 0 0 2 5 3 0 25 8 1 0 44
rock 2 1 3 2 0 1 4 7 0 4 24
blues 2 1 1 1 0 1 3 2 1 0 12
alter 0 2 3 2 0 1 3 4 1 2 18
Got 13 7 28 37 4 10 53 28 9 11 200
Error checking: 5.388448 s
Genre Train Error: 0.003
Genre Test Error: 0.66 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.232021 s
Extract genre features: 5.472234 s
B = 0
Average norm = 1076.32858835
Number of features = 263777
Train genre Classifier: 69.985648 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 79 0 0 0 0 0 0 0 0 0 79
elect 0 78 0 0 0 0 0 0 0 0 78
indie 0 0 75 0 0 0 0 0 0 0 75
hipho 0 0 0 152 0 0 0 0 0 0 152
punk 0 0 0 0 25 0 0 0 0 0 25
metal 0 0 0 0 0 77 0 0 0 0 77
pop 0 1 0 1 0 0 243 1 0 0 246
rock 0 0 0 0 0 0 0 120 0 0 120
blues 0 0 0 0 0 0 0 0 74 0 74
alter 0 0 0 0 0 0 0 0 0 74 74
Got 79 79 75 153 25 77 243 121 74 74 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 0 0 4 0 1 3 2 0 3 15
elect 0 2 0 0 1 3 5 0 1 2 14
indie 0 0 3 1 1 0 2 4 0 0 11
hipho 1 0 0 18 1 0 3 1 1 1 26
punk 1 1 1 1 0 0 0 1 0 1 6
metal 1 0 1 0 0 6 5 1 0 0 14
pop 1 0 2 9 0 2 32 6 1 5 58
rock 1 0 1 3 0 2 4 6 2 5 24
blues 1 0 0 1 0 0 10 1 5 2 20
alter 1 1 2 2 0 0 0 4 0 2 12
Got 9 4 10 39 3 14 64 26 10 21 200
Error checking: 5.346355 s
Genre Train Error: 0.003
Genre Test Error: 0.62 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.215437 s
Extract genre features: 5.454302 s
B = 0
Average norm = 1087.50903408
Number of features = 264081
Train genre Classifier: 79.202923 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 72 0 0 0 0 0 1 0 0 0 73
elect 0 74 0 0 0 0 0 0 0 0 74
indie 0 0 68 0 0 0 2 0 0 0 70
hipho 0 0 0 146 0 0 1 0 0 0 147
punk 0 0 0 0 27 0 0 0 0 0 27
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 0 1 0 0 257 0 0 0 258
rock 0 0 0 0 0 0 2 132 0 0 134
blues 0 0 0 0 0 0 0 0 70 0 70
alter 0 0 0 0 0 0 1 0 0 71 72
Got 72 74 68 147 27 75 264 132 70 71 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 0 0 1 2 0 1 9 3 0 0 16
elect 0 1 0 2 0 0 12 3 0 0 18
indie 1 0 1 6 0 0 9 0 2 0 19
hipho 0 2 0 15 0 0 10 2 1 0 30
punk 0 0 0 2 1 1 3 0 0 0 7
metal 0 1 0 2 0 3 7 3 0 0 16
pop 2 1 0 7 0 0 31 4 1 0 46
rock 1 0 0 2 0 0 6 3 0 4 16
blues 1 0 0 4 0 0 10 1 1 2 19
alter 0 0 0 3 0 0 4 4 0 2 13
Got 5 5 2 45 1 5 101 23 5 8 200
Error checking: 5.286056 s
Genre Train Error: 0.008
Genre Test Error: 0.71 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.218563 s
Extract genre features: 5.499036 s
B = 0
Average norm = 1024.58783553
Number of features = 260756
Train genre Classifier: 85.747318 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 67 0 0 0 0 0 0 0 0 0 67
elect 0 73 0 0 0 0 0 0 0 0 73
indie 0 0 79 0 0 0 0 0 0 0 79
hipho 0 0 0 143 0 0 0 0 0 0 143
punk 0 0 0 0 30 0 0 0 0 0 30
metal 0 0 0 0 0 71 0 0 0 0 71
pop 0 0 0 0 0 0 259 2 0 0 261
rock 0 0 0 0 0 0 0 124 0 0 124
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 75 75
Got 67 73 79 143 30 71 259 126 77 75 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 0 1 4 1 2 4 1 2 1 18
elect 0 3 1 2 0 1 3 2 0 4 16
indie 0 2 2 0 0 0 5 2 0 3 14
hipho 0 1 0 18 0 2 4 0 1 0 26
punk 0 2 0 0 0 0 3 2 0 0 7
metal 0 0 0 1 0 7 5 3 0 1 17
pop 1 6 1 9 0 1 27 4 2 0 51
rock 2 4 0 4 1 2 7 5 0 2 27
blues 0 3 1 2 1 0 1 1 1 0 10
alter 0 0 1 1 0 3 5 0 1 3 14
Got 5 21 7 41 3 18 64 20 7 14 200
Error checking: 5.346231 s
Genre Train Error: 0.002
Genre Test Error: 0.66 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.218036 s
Extract genre features: 5.490176 s
B = 0
Average norm = 989.219693911
Number of features = 267991
Train genre Classifier: 97.713633 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 76 0 0 0 0 0 0 0 0 0 76
elect 0 69 1 0 0 0 0 0 0 0 70
indie 0 0 79 0 0 0 0 0 0 0 79
hipho 0 0 0 149 0 0 0 0 0 0 149
punk 0 0 0 0 26 0 0 0 0 0 26
metal 0 0 0 0 0 69 0 0 0 0 69
pop 0 0 0 1 0 0 253 1 0 0 255
rock 0 0 0 0 1 0 0 124 0 0 125
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 74 74
Got 76 69 80 150 27 69 253 125 77 74 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 0 0 2 0 2 3 1 1 1 12
elect 0 2 1 0 1 2 5 2 0 1 14
indie 3 1 2 0 1 1 2 0 1 1 12
hipho 1 0 1 19 1 0 3 1 1 0 27
punk 1 0 1 0 0 2 1 1 0 2 8
metal 0 1 1 0 0 9 2 3 0 1 17
pop 5 6 2 10 1 0 24 3 1 3 55
rock 2 0 4 1 2 5 8 3 2 2 29
blues 2 0 0 3 0 1 4 2 1 0 13
alter 2 0 2 2 0 1 2 3 0 1 13
Got 18 10 14 37 6 23 54 19 7 12 200
Error checking: 5.336566 s
Genre Train Error: 0.004
Genre Test Error: 0.685 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.227595 s
Extract genre features: 5.395564 s
B = 0
Average norm = 949.564146994
Number of features = 261641
Train genre Classifier: 53.86397 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 71 0 0 0 0 0 0 0 0 0 71
elect 0 71 0 0 0 0 0 0 1 0 72
indie 0 0 82 0 0 0 0 0 0 0 82
hipho 0 0 0 145 0 0 1 0 0 0 146
punk 0 0 0 0 22 0 0 0 0 0 22
metal 0 0 0 0 0 71 0 0 0 0 71
pop 0 0 0 1 0 0 251 2 0 0 254
rock 0 0 0 0 0 0 0 125 0 0 125
blues 0 0 0 0 0 0 0 0 78 0 78
alter 0 0 0 0 0 0 0 0 0 79 79
Got 71 71 82 146 22 71 252 127 79 79 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 5 0 1 2 0 1 5 3 1 1 19
elect 1 1 2 2 2 0 3 1 0 3 15
indie 4 0 1 1 0 1 4 0 0 1 12
hipho 0 0 0 12 0 0 3 1 1 0 17
punk 0 0 1 0 1 1 2 1 1 2 9
metal 0 1 0 4 0 5 4 2 1 2 19
pop 4 0 1 11 0 2 27 2 5 3 55
rock 2 3 2 0 1 1 7 4 3 3 26
blues 3 1 2 1 0 0 4 0 2 0 13
alter 1 2 2 0 1 4 2 0 0 3 15
Got 20 8 12 33 5 15 61 14 14 18 200
Error checking: 5.24322 s
Genre Train Error: 0.005
Genre Test Error: 0.695 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.221964 s
Extract genre features: 5.469108 s
B = 0
Average norm = 1080.93592906
Number of features = 263825
Train genre Classifier: 62.55523 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 74 0 0 0 0 0 0 0 0 0 74
elect 0 85 0 0 0 0 0 0 0 0 85
indie 0 0 76 0 0 0 1 0 0 0 77
hipho 0 0 0 147 0 0 0 0 0 0 147
punk 0 0 0 0 29 0 0 0 0 0 29
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 0 2 0 0 249 1 0 0 252
rock 0 0 0 0 0 0 0 117 0 0 117
blues 0 0 0 0 0 0 0 0 74 0 74
alter 0 0 0 0 0 0 0 0 0 70 70
Got 74 85 76 149 29 75 250 118 74 70 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 1 0 0 2 0 1 8 1 1 0 14
elect 0 1 0 0 0 0 4 2 0 2 9
indie 1 0 0 2 0 1 2 1 2 2 11
hipho 0 1 0 14 1 0 10 1 0 1 28
punk 0 0 0 0 1 0 2 0 0 1 4
metal 0 1 0 3 0 5 2 3 0 1 15
pop 1 0 0 6 0 1 43 2 1 3 57
rock 2 3 1 2 1 2 9 7 2 4 33
blues 1 1 0 2 0 0 6 0 4 2 16
alter 0 2 0 1 0 2 6 1 1 0 13
Got 6 9 1 32 3 12 92 18 11 16 200
Error checking: 5.293987 s
Genre Train Error: 0.004
Genre Test Error: 0.62 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.217439 s
Extract genre features: 5.446294 s
B = 0
Average norm = 1076.3632142
Number of features = 264361
Train genre Classifier: 71.551837 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 68 0 0 1 0 0 0 0 0 0 69
elect 0 78 0 0 0 0 0 0 0 0 78
indie 0 1 71 0 0 0 0 0 0 0 72
hipho 0 0 0 150 0 0 1 0 0 0 151
punk 0 0 0 0 28 0 0 0 0 0 28
metal 0 0 0 0 0 72 0 0 0 0 72
pop 0 0 0 0 0 0 255 0 0 0 255
rock 0 0 0 0 0 0 1 122 0 0 123
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 75 75
Got 68 79 71 151 28 72 257 122 77 75 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 0 0 2 7 0 0 2 5 0 0 16
elect 0 0 2 7 0 0 4 4 0 0 17
indie 0 2 2 9 0 1 4 1 0 0 19
hipho 0 0 1 21 0 0 2 0 0 0 24
punk 1 0 0 0 0 0 0 1 1 0 3
metal 0 0 0 5 1 5 2 3 0 1 17
pop 0 2 0 13 0 1 28 4 0 1 49
rock 3 0 5 6 0 0 3 8 0 1 26
blues 0 1 2 1 0 0 4 4 1 1 14
alter 0 0 0 7 0 0 2 2 0 4 15
Got 4 5 14 76 1 7 51 32 2 8 200
Error checking: 5.321351 s
Genre Train Error: 0.004
Genre Test Error: 0.655 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.218735 s
Extract genre features: 5.443707 s
B = 0
Average norm = 1073.61865082
Number of features = 260824
Train genre Classifier: 76.998902 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 77 0 0 0 0 0 0 0 0 0 77
elect 0 83 0 0 0 0 0 0 0 0 83
indie 0 0 74 0 0 0 0 0 0 0 74
hipho 0 0 0 136 0 0 0 0 0 0 136
punk 0 0 0 0 31 0 0 0 0 0 31
metal 0 0 0 0 0 78 0 0 0 0 78
pop 0 0 0 1 0 0 254 0 0 0 255
rock 0 0 0 0 0 0 0 121 0 0 121
blues 0 0 0 0 0 0 0 0 80 0 80
alter 0 0 0 0 0 0 0 0 0 65 65
Got 77 83 74 137 31 78 254 121 80 65 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 7 0 0 0 0 1 3 2 0 0 13
elect 1 1 2 2 0 0 4 1 2 0 13
indie 2 2 0 0 0 0 1 5 2 0 12
hipho 0 1 0 20 4 0 7 1 1 0 34
punk 1 1 0 0 0 0 0 1 0 0 3
metal 1 2 1 2 1 2 4 4 0 0 17
pop 2 5 5 6 1 0 24 5 4 0 52
rock 2 4 3 2 1 0 6 8 0 2 28
blues 1 0 0 3 0 0 2 1 3 1 11
alter 2 0 1 3 0 0 3 5 2 1 17
Got 19 16 12 38 7 3 54 33 14 4 200
Error checking: 5.284432 s
Genre Train Error: 0.001
Genre Test Error: 0.67 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.213374 s
Extract genre features: 5.458512 s
B = 0
Average norm = 1063.49613576
Number of features = 265014
Train genre Classifier: 88.92222 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 80 0 0 0 0 0 0 0 0 0 80
elect 0 82 0 0 0 0 0 0 0 0 82
indie 0 0 77 0 0 0 0 0 0 0 77
hipho 0 0 0 153 0 0 0 0 0 0 153
punk 0 0 0 0 28 0 0 0 0 0 28
metal 0 0 0 0 0 77 0 0 0 0 77
pop 0 0 0 1 1 0 239 0 0 0 241
rock 0 0 0 0 0 0 0 117 0 0 117
blues 0 0 0 0 0 0 0 0 74 0 74
alter 0 0 0 0 0 0 0 0 0 71 71
Got 80 82 77 154 29 77 239 117 74 71 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 1 0 1 1 1 1 1 0 1 1 8
elect 1 1 1 3 1 0 5 1 1 1 15
indie 0 2 1 1 1 0 1 0 2 1 9
hipho 0 1 0 17 1 1 0 1 1 1 23
punk 1 0 0 2 1 0 3 0 0 0 7
metal 1 0 0 2 0 2 2 2 0 2 11
pop 2 1 3 17 8 1 20 8 3 3 66
rock 3 1 3 8 2 2 4 2 4 2 31
blues 0 1 0 2 0 0 5 0 5 1 14
alter 0 0 2 6 2 0 2 0 2 2 16
Got 9 7 11 59 17 7 43 14 19 14 200
Error checking: 5.32324 s
Genre Train Error: 0.002
Genre Test Error: 0.74 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.371571 s
Extract genre features: 5.435128 s
B = 0
Average norm = 1026.09611843
Number of features = 261867
Train genre Classifier: 96.33337 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 80 0 0 0 0 0 0 0 0 0 80
elect 0 73 0 0 0 0 0 0 0 0 73
indie 0 0 71 0 0 0 0 0 0 0 71
hipho 0 1 0 148 0 0 0 0 0 0 149
punk 0 0 0 0 32 0 0 0 0 0 32
metal 0 0 0 0 0 78 0 0 0 0 78
pop 0 1 0 0 0 0 264 0 0 0 265
rock 0 0 0 0 0 0 0 123 0 0 123
blues 0 0 0 0 0 0 0 0 69 0 69
alter 0 0 0 1 0 0 0 0 0 59 60
Got 80 75 71 149 32 78 264 123 69 59 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 3 1 1 1 1 1 2 1 0 0 11
elect 1 1 0 4 1 3 4 1 0 0 15
indie 2 3 0 4 0 2 3 3 0 0 17
hipho 2 1 0 18 1 1 3 2 0 0 28
punk 0 0 0 2 0 0 1 0 0 0 3
metal 0 1 1 0 0 2 3 0 0 1 8
pop 1 3 0 10 2 0 22 2 1 3 44
rock 4 2 1 5 3 0 7 4 1 2 29
blues 1 1 1 6 0 0 6 3 3 1 22
alter 3 2 1 5 1 2 3 2 0 4 23
Got 17 15 5 55 9 11 54 18 5 11 200
Error checking: 5.415077 s
Genre Train Error: 0.003
Genre Test Error: 0.715 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.222098 s
Extract genre features: 5.515685 s
B = 0
Average norm = 1071.08995141
Number of features = 263639
Train genre Classifier: 53.502109 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 68 0 0 0 0 0 0 0 0 0 68
elect 0 79 1 0 0 0 0 0 0 0 80
indie 0 1 76 0 0 0 0 0 0 0 77
hipho 0 0 0 148 0 0 0 0 0 0 148
punk 0 0 0 0 32 0 0 0 0 0 32
metal 0 0 0 0 0 72 0 0 0 0 72
pop 0 1 0 4 0 0 245 1 0 0 251
rock 0 0 0 0 0 0 2 116 0 0 118
blues 0 0 0 0 0 0 0 0 71 1 72
alter 0 0 0 0 0 0 0 0 0 82 82
Got 68 81 77 152 32 72 247 117 71 83 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 6 2 2 4 0 1 2 0 0 2 19
elect 1 3 0 3 0 0 2 0 0 2 11
indie 2 1 1 5 0 0 2 0 1 3 15
hipho 1 2 0 23 0 1 1 0 0 0 28
punk 2 1 0 0 1 1 0 0 0 0 5
metal 1 2 1 4 0 7 1 2 0 1 19
pop 2 9 0 17 0 1 20 1 0 4 54
rock 4 3 3 4 0 1 3 5 0 4 27
blues 1 1 0 3 0 0 2 0 1 2 10
alter 0 2 2 5 0 0 0 0 1 2 12
Got 20 26 9 68 1 12 33 8 3 20 200
Error checking: 5.330082 s
Genre Train Error: 0.011
Genre Test Error: 0.655 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.216931 s
Extract genre features: 5.505694 s
B = 0
Average norm = 1007.37462564
Number of features = 262958
Train genre Classifier: 63.1829 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 79 0 0 0 0 0 0 0 0 0 79
elect 0 77 0 0 0 0 0 0 0 0 77
indie 0 0 72 0 0 0 0 0 0 0 72
hipho 0 0 1 147 0 0 1 0 0 0 149
punk 0 0 0 0 28 0 0 0 0 0 28
metal 0 0 0 0 0 75 0 0 0 0 75
pop 0 0 1 1 0 0 257 0 0 0 259
rock 0 0 0 0 0 0 3 117 0 0 120
blues 0 0 0 0 0 0 0 0 68 0 68
alter 0 0 0 0 0 0 0 0 0 73 73
Got 79 77 74 148 28 75 261 117 68 73 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 1 0 1 4 0 0 5 3 0 0 14
elect 2 0 2 3 0 0 7 0 0 0 14
indie 0 0 4 1 0 0 5 2 0 1 13
hipho 0 0 0 23 0 0 3 3 1 1 31
punk 0 0 1 0 0 0 3 1 1 0 6
metal 1 1 2 4 0 3 3 1 0 0 15
pop 1 1 1 9 0 0 30 2 0 0 44
rock 1 0 1 4 2 2 4 8 0 2 24
blues 3 3 0 8 0 1 3 2 3 1 24
alter 2 0 0 3 0 0 3 5 0 2 15
Got 11 5 12 59 2 6 66 27 5 7 200
Error checking: 5.405431 s
Genre Train Error: 0.007
Genre Test Error: 0.63 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.228288 s
Extract genre features: 5.547198 s
B = 0
Average norm = 1024.18869273
Number of features = 260839
Train genre Classifier: 72.932523 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 72 0 0 0 0 0 0 0 0 0 72
elect 0 67 1 0 0 0 0 0 0 0 68
indie 0 0 80 0 0 0 0 0 0 0 80
hipho 1 0 0 134 0 0 3 1 2 0 141
punk 0 0 0 0 27 0 0 0 0 0 27
metal 0 0 0 0 0 73 0 0 0 0 73
pop 0 0 0 0 0 0 261 2 0 0 263
rock 0 0 0 0 0 0 0 127 0 0 127
blues 0 0 0 0 0 0 0 0 77 0 77
alter 0 0 0 0 0 0 0 0 0 72 72
Got 73 67 81 134 27 73 264 130 79 72 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 3 0 1 0 1 3 3 1 4 0 16
elect 0 1 2 1 1 2 8 1 1 0 17
indie 2 0 3 0 0 0 3 2 1 0 11
hipho 2 0 1 11 2 0 11 4 1 0 32
punk 0 1 0 0 0 0 2 2 2 1 8
metal 1 0 2 0 0 3 5 3 0 0 14
pop 4 4 4 2 0 3 27 4 2 1 51
rock 1 1 2 0 0 2 7 4 1 2 20
blues 3 0 2 0 0 0 3 1 9 0 18
alter 1 0 4 0 1 0 2 3 1 1 13
Got 17 7 21 14 5 13 71 25 22 5 200
Error checking: 5.617578 s
Genre Train Error: 0.01
Genre Test Error: 0.69 with 10 genre labels
Total number of songs = 1361
count 100
elect 103
indie 100
hipho 196
punk 38
metal 100
pop 343
rock 166
blues 100
alter 99
Load examples: 0.373793 s
Extract genre features: 5.497249 s
B = 0
Average norm = 975.909946451
Number of features = 265892
Train genre Classifier: 81.702047 s
count elect indie hipho punk metal pop rock blues alter Wanted
count 71 0 0 0 0 0 0 0 0 0 71
elect 0 84 0 1 0 0 0 0 0 1 86
indie 0 0 76 0 0 0 0 0 0 1 77
hipho 0 0 0 141 0 0 1 0 0 0 142
punk 0 0 0 0 29 0 0 0 0 0 29
metal 0 0 0 0 0 88 0 0 0 0 88
pop 0 0 0 0 0 0 241 0 0 0 241
rock 0 0 0 0 0 0 1 118 0 0 119
blues 0 0 0 0 0 0 0 0 74 0 74
alter 0 0 0 0 0 0 0 0 0 73 73
Got 71 84 76 142 29 88 243 118 74 75 1000
count elect indie hipho punk metal pop rock blues alter Wanted
count 2 1 6 2 0 0 3 3 0 0 17
elect 0 1 2 1 0 1 7 1 0 0 13
indie 0 1 4 2 0 2 2 2 0 2 15