Upload folder using huggingface_hub
Browse files- baseline/baseline_results.json +180 -0
- baseline/logistic_regression_model.pkl +3 -0
- baseline/svm_model.pkl +3 -0
- training_results.json +182 -0
baseline/baseline_results.json
ADDED
|
@@ -0,0 +1,180 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"logistic_regression": {
|
| 3 |
+
"accuracy": 0.6903765690376569,
|
| 4 |
+
"f1_macro": 0.6843589377498572,
|
| 5 |
+
"f1_weighted": 0.688625985390297,
|
| 6 |
+
"precision_macro": 0.6876113798370672,
|
| 7 |
+
"recall_macro": 0.6834090343454455,
|
| 8 |
+
"mcc": 0.37099661458365396,
|
| 9 |
+
"per_class": {
|
| 10 |
+
"ACC": {
|
| 11 |
+
"precision": 0.6720977596741344,
|
| 12 |
+
"recall": 0.6122448979591837,
|
| 13 |
+
"f1-score": 0.6407766990291263,
|
| 14 |
+
"support": 539.0
|
| 15 |
+
},
|
| 16 |
+
"OFF": {
|
| 17 |
+
"precision": 0.703125,
|
| 18 |
+
"recall": 0.7545731707317073,
|
| 19 |
+
"f1-score": 0.7279411764705882,
|
| 20 |
+
"support": 656.0
|
| 21 |
+
},
|
| 22 |
+
"accuracy": 0.6903765690376569,
|
| 23 |
+
"macro avg": {
|
| 24 |
+
"precision": 0.6876113798370672,
|
| 25 |
+
"recall": 0.6834090343454455,
|
| 26 |
+
"f1-score": 0.6843589377498572,
|
| 27 |
+
"support": 1195.0
|
| 28 |
+
},
|
| 29 |
+
"weighted avg": {
|
| 30 |
+
"precision": 0.6891302865810531,
|
| 31 |
+
"recall": 0.6903765690376569,
|
| 32 |
+
"f1-score": 0.688625985390297,
|
| 33 |
+
"support": 1195.0
|
| 34 |
+
}
|
| 35 |
+
},
|
| 36 |
+
"confusion_matrix": [
|
| 37 |
+
[
|
| 38 |
+
330,
|
| 39 |
+
209
|
| 40 |
+
],
|
| 41 |
+
[
|
| 42 |
+
161,
|
| 43 |
+
495
|
| 44 |
+
]
|
| 45 |
+
],
|
| 46 |
+
"feature_importance": {
|
| 47 |
+
"ACC": [
|
| 48 |
+
[
|
| 49 |
+
"pederi",
|
| 50 |
+
3.2277062135346792
|
| 51 |
+
],
|
| 52 |
+
[
|
| 53 |
+
"pedera",
|
| 54 |
+
2.7636768303735866
|
| 55 |
+
],
|
| 56 |
+
[
|
| 57 |
+
"bolest",
|
| 58 |
+
2.746685301057598
|
| 59 |
+
],
|
| 60 |
+
[
|
| 61 |
+
"si",
|
| 62 |
+
2.3245377976690103
|
| 63 |
+
],
|
| 64 |
+
[
|
| 65 |
+
"sramota",
|
| 66 |
+
2.320226827930311
|
| 67 |
+
],
|
| 68 |
+
[
|
| 69 |
+
"bolesnici",
|
| 70 |
+
2.2613897370036664
|
| 71 |
+
],
|
| 72 |
+
[
|
| 73 |
+
"fuj",
|
| 74 |
+
2.1753834503926237
|
| 75 |
+
],
|
| 76 |
+
[
|
| 77 |
+
"pedercine",
|
| 78 |
+
2.1189725708947527
|
| 79 |
+
],
|
| 80 |
+
[
|
| 81 |
+
"ste",
|
| 82 |
+
2.0007848547380664
|
| 83 |
+
],
|
| 84 |
+
[
|
| 85 |
+
"ovo",
|
| 86 |
+
1.917972009918697
|
| 87 |
+
]
|
| 88 |
+
]
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
"svm": {
|
| 92 |
+
"accuracy": 0.6853556485355649,
|
| 93 |
+
"f1_macro": 0.6796849603348865,
|
| 94 |
+
"f1_weighted": 0.6838577308976498,
|
| 95 |
+
"precision_macro": 0.682278484661551,
|
| 96 |
+
"recall_macro": 0.6788358636137382,
|
| 97 |
+
"mcc": 0.3610979380868963,
|
| 98 |
+
"per_class": {
|
| 99 |
+
"ACC": {
|
| 100 |
+
"precision": 0.6639839034205232,
|
| 101 |
+
"recall": 0.6122448979591837,
|
| 102 |
+
"f1-score": 0.637065637065637,
|
| 103 |
+
"support": 539.0
|
| 104 |
+
},
|
| 105 |
+
"OFF": {
|
| 106 |
+
"precision": 0.7005730659025788,
|
| 107 |
+
"recall": 0.7454268292682927,
|
| 108 |
+
"f1-score": 0.7223042836041359,
|
| 109 |
+
"support": 656.0
|
| 110 |
+
},
|
| 111 |
+
"accuracy": 0.6853556485355649,
|
| 112 |
+
"macro avg": {
|
| 113 |
+
"precision": 0.682278484661551,
|
| 114 |
+
"recall": 0.6788358636137382,
|
| 115 |
+
"f1-score": 0.6796849603348865,
|
| 116 |
+
"support": 1195.0
|
| 117 |
+
},
|
| 118 |
+
"weighted avg": {
|
| 119 |
+
"precision": 0.6840696696031411,
|
| 120 |
+
"recall": 0.6853556485355649,
|
| 121 |
+
"f1-score": 0.6838577308976498,
|
| 122 |
+
"support": 1195.0
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"confusion_matrix": [
|
| 126 |
+
[
|
| 127 |
+
330,
|
| 128 |
+
209
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
167,
|
| 132 |
+
489
|
| 133 |
+
]
|
| 134 |
+
],
|
| 135 |
+
"feature_importance": {
|
| 136 |
+
"ACC": [
|
| 137 |
+
[
|
| 138 |
+
"pederi",
|
| 139 |
+
2.5274928884061985
|
| 140 |
+
],
|
| 141 |
+
[
|
| 142 |
+
"pedera",
|
| 143 |
+
2.279152679091249
|
| 144 |
+
],
|
| 145 |
+
[
|
| 146 |
+
"bolest",
|
| 147 |
+
1.9927122415532121
|
| 148 |
+
],
|
| 149 |
+
[
|
| 150 |
+
"pedercine",
|
| 151 |
+
1.8973105040713285
|
| 152 |
+
],
|
| 153 |
+
[
|
| 154 |
+
"budala",
|
| 155 |
+
1.8139869462274756
|
| 156 |
+
],
|
| 157 |
+
[
|
| 158 |
+
"angela",
|
| 159 |
+
1.7586262544942983
|
| 160 |
+
],
|
| 161 |
+
[
|
| 162 |
+
"peder",
|
| 163 |
+
1.7244589389462244
|
| 164 |
+
],
|
| 165 |
+
[
|
| 166 |
+
"to nije",
|
| 167 |
+
1.6865866603545498
|
| 168 |
+
],
|
| 169 |
+
[
|
| 170 |
+
"problema",
|
| 171 |
+
1.6731235302763385
|
| 172 |
+
],
|
| 173 |
+
[
|
| 174 |
+
"govna",
|
| 175 |
+
1.6326998125577117
|
| 176 |
+
]
|
| 177 |
+
]
|
| 178 |
+
}
|
| 179 |
+
}
|
| 180 |
+
}
|
baseline/logistic_regression_model.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:699f54fd0e89913d28946b2b18dda2d49d20aa9a8773791201cb13005e214f12
|
| 3 |
+
size 458196
|
baseline/svm_model.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ce5b8ec02eaa7a9322e147d55f07c85a3bb5dbc7abea0e9eff9e4be83ed1ed7
|
| 3 |
+
size 458072
|
training_results.json
ADDED
|
@@ -0,0 +1,182 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"baseline": {
|
| 3 |
+
"logistic_regression": {
|
| 4 |
+
"accuracy": 0.6903765690376569,
|
| 5 |
+
"f1_macro": 0.6843589377498572,
|
| 6 |
+
"f1_weighted": 0.688625985390297,
|
| 7 |
+
"precision_macro": 0.6876113798370672,
|
| 8 |
+
"recall_macro": 0.6834090343454455,
|
| 9 |
+
"mcc": 0.37099661458365396,
|
| 10 |
+
"per_class": {
|
| 11 |
+
"ACC": {
|
| 12 |
+
"precision": 0.6720977596741344,
|
| 13 |
+
"recall": 0.6122448979591837,
|
| 14 |
+
"f1-score": 0.6407766990291263,
|
| 15 |
+
"support": 539.0
|
| 16 |
+
},
|
| 17 |
+
"OFF": {
|
| 18 |
+
"precision": 0.703125,
|
| 19 |
+
"recall": 0.7545731707317073,
|
| 20 |
+
"f1-score": 0.7279411764705882,
|
| 21 |
+
"support": 656.0
|
| 22 |
+
},
|
| 23 |
+
"accuracy": 0.6903765690376569,
|
| 24 |
+
"macro avg": {
|
| 25 |
+
"precision": 0.6876113798370672,
|
| 26 |
+
"recall": 0.6834090343454455,
|
| 27 |
+
"f1-score": 0.6843589377498572,
|
| 28 |
+
"support": 1195.0
|
| 29 |
+
},
|
| 30 |
+
"weighted avg": {
|
| 31 |
+
"precision": 0.6891302865810531,
|
| 32 |
+
"recall": 0.6903765690376569,
|
| 33 |
+
"f1-score": 0.688625985390297,
|
| 34 |
+
"support": 1195.0
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"confusion_matrix": [
|
| 38 |
+
[
|
| 39 |
+
330,
|
| 40 |
+
209
|
| 41 |
+
],
|
| 42 |
+
[
|
| 43 |
+
161,
|
| 44 |
+
495
|
| 45 |
+
]
|
| 46 |
+
],
|
| 47 |
+
"feature_importance": {
|
| 48 |
+
"ACC": [
|
| 49 |
+
[
|
| 50 |
+
"pederi",
|
| 51 |
+
3.2277062135346792
|
| 52 |
+
],
|
| 53 |
+
[
|
| 54 |
+
"pedera",
|
| 55 |
+
2.7636768303735866
|
| 56 |
+
],
|
| 57 |
+
[
|
| 58 |
+
"bolest",
|
| 59 |
+
2.746685301057598
|
| 60 |
+
],
|
| 61 |
+
[
|
| 62 |
+
"si",
|
| 63 |
+
2.3245377976690103
|
| 64 |
+
],
|
| 65 |
+
[
|
| 66 |
+
"sramota",
|
| 67 |
+
2.320226827930311
|
| 68 |
+
],
|
| 69 |
+
[
|
| 70 |
+
"bolesnici",
|
| 71 |
+
2.2613897370036664
|
| 72 |
+
],
|
| 73 |
+
[
|
| 74 |
+
"fuj",
|
| 75 |
+
2.1753834503926237
|
| 76 |
+
],
|
| 77 |
+
[
|
| 78 |
+
"pedercine",
|
| 79 |
+
2.1189725708947527
|
| 80 |
+
],
|
| 81 |
+
[
|
| 82 |
+
"ste",
|
| 83 |
+
2.0007848547380664
|
| 84 |
+
],
|
| 85 |
+
[
|
| 86 |
+
"ovo",
|
| 87 |
+
1.917972009918697
|
| 88 |
+
]
|
| 89 |
+
]
|
| 90 |
+
}
|
| 91 |
+
},
|
| 92 |
+
"svm": {
|
| 93 |
+
"accuracy": 0.6853556485355649,
|
| 94 |
+
"f1_macro": 0.6796849603348865,
|
| 95 |
+
"f1_weighted": 0.6838577308976498,
|
| 96 |
+
"precision_macro": 0.682278484661551,
|
| 97 |
+
"recall_macro": 0.6788358636137382,
|
| 98 |
+
"mcc": 0.3610979380868963,
|
| 99 |
+
"per_class": {
|
| 100 |
+
"ACC": {
|
| 101 |
+
"precision": 0.6639839034205232,
|
| 102 |
+
"recall": 0.6122448979591837,
|
| 103 |
+
"f1-score": 0.637065637065637,
|
| 104 |
+
"support": 539.0
|
| 105 |
+
},
|
| 106 |
+
"OFF": {
|
| 107 |
+
"precision": 0.7005730659025788,
|
| 108 |
+
"recall": 0.7454268292682927,
|
| 109 |
+
"f1-score": 0.7223042836041359,
|
| 110 |
+
"support": 656.0
|
| 111 |
+
},
|
| 112 |
+
"accuracy": 0.6853556485355649,
|
| 113 |
+
"macro avg": {
|
| 114 |
+
"precision": 0.682278484661551,
|
| 115 |
+
"recall": 0.6788358636137382,
|
| 116 |
+
"f1-score": 0.6796849603348865,
|
| 117 |
+
"support": 1195.0
|
| 118 |
+
},
|
| 119 |
+
"weighted avg": {
|
| 120 |
+
"precision": 0.6840696696031411,
|
| 121 |
+
"recall": 0.6853556485355649,
|
| 122 |
+
"f1-score": 0.6838577308976498,
|
| 123 |
+
"support": 1195.0
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
"confusion_matrix": [
|
| 127 |
+
[
|
| 128 |
+
330,
|
| 129 |
+
209
|
| 130 |
+
],
|
| 131 |
+
[
|
| 132 |
+
167,
|
| 133 |
+
489
|
| 134 |
+
]
|
| 135 |
+
],
|
| 136 |
+
"feature_importance": {
|
| 137 |
+
"ACC": [
|
| 138 |
+
[
|
| 139 |
+
"pederi",
|
| 140 |
+
2.5274928884061985
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
"pedera",
|
| 144 |
+
2.279152679091249
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
"bolest",
|
| 148 |
+
1.9927122415532121
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
"pedercine",
|
| 152 |
+
1.8973105040713285
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
"budala",
|
| 156 |
+
1.8139869462274756
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
"angela",
|
| 160 |
+
1.7586262544942983
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
"peder",
|
| 164 |
+
1.7244589389462244
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
"to nije",
|
| 168 |
+
1.6865866603545498
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
"problema",
|
| 172 |
+
1.6731235302763385
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
"govna",
|
| 176 |
+
1.6326998125577117
|
| 177 |
+
]
|
| 178 |
+
]
|
| 179 |
+
}
|
| 180 |
+
}
|
| 181 |
+
}
|
| 182 |
+
}
|