upload experiment_results.json
Browse files- experiment_results.json +515 -0
experiment_results.json
ADDED
|
@@ -0,0 +1,515 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"variant": "title",
|
| 4 |
+
"feature_dim": 1537,
|
| 5 |
+
"train_rows": 2537,
|
| 6 |
+
"test_rows": 939,
|
| 7 |
+
"results": [
|
| 8 |
+
{
|
| 9 |
+
"classifier": "logistic_regression",
|
| 10 |
+
"accuracy": 0.7902023429179978,
|
| 11 |
+
"macro_f1": 0.7782502214704681,
|
| 12 |
+
"report": {
|
| 13 |
+
"not_relevant": {
|
| 14 |
+
"precision": 0.8617594254937163,
|
| 15 |
+
"recall": 0.8,
|
| 16 |
+
"f1-score": 0.8297320656871219,
|
| 17 |
+
"support": 600.0
|
| 18 |
+
},
|
| 19 |
+
"relevant": {
|
| 20 |
+
"precision": 0.6858638743455497,
|
| 21 |
+
"recall": 0.7728613569321534,
|
| 22 |
+
"f1-score": 0.7267683772538142,
|
| 23 |
+
"support": 339.0
|
| 24 |
+
},
|
| 25 |
+
"accuracy": 0.7902023429179978,
|
| 26 |
+
"macro avg": {
|
| 27 |
+
"precision": 0.773811649919633,
|
| 28 |
+
"recall": 0.7864306784660767,
|
| 29 |
+
"f1-score": 0.7782502214704681,
|
| 30 |
+
"support": 939.0
|
| 31 |
+
},
|
| 32 |
+
"weighted avg": {
|
| 33 |
+
"precision": 0.7982571977629086,
|
| 34 |
+
"recall": 0.7902023429179978,
|
| 35 |
+
"f1-score": 0.7925598714604005,
|
| 36 |
+
"support": 939.0
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"classifier": "linear_svm",
|
| 42 |
+
"accuracy": 0.7742279020234292,
|
| 43 |
+
"macro_f1": 0.7619806014692379,
|
| 44 |
+
"report": {
|
| 45 |
+
"not_relevant": {
|
| 46 |
+
"precision": 0.8514492753623188,
|
| 47 |
+
"recall": 0.7833333333333333,
|
| 48 |
+
"f1-score": 0.8159722222222222,
|
| 49 |
+
"support": 600.0
|
| 50 |
+
},
|
| 51 |
+
"relevant": {
|
| 52 |
+
"precision": 0.6640826873385013,
|
| 53 |
+
"recall": 0.7581120943952803,
|
| 54 |
+
"f1-score": 0.7079889807162535,
|
| 55 |
+
"support": 339.0
|
| 56 |
+
},
|
| 57 |
+
"accuracy": 0.7742279020234292,
|
| 58 |
+
"macro avg": {
|
| 59 |
+
"precision": 0.7577659813504101,
|
| 60 |
+
"recall": 0.7707227138643068,
|
| 61 |
+
"f1-score": 0.7619806014692379,
|
| 62 |
+
"support": 939.0
|
| 63 |
+
},
|
| 64 |
+
"weighted avg": {
|
| 65 |
+
"precision": 0.7838057467786403,
|
| 66 |
+
"recall": 0.7742279020234292,
|
| 67 |
+
"f1-score": 0.7769878570778948,
|
| 68 |
+
"support": 939.0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"classifier": "random_forest",
|
| 74 |
+
"accuracy": 0.792332268370607,
|
| 75 |
+
"macro_f1": 0.7378735843627466,
|
| 76 |
+
"report": {
|
| 77 |
+
"not_relevant": {
|
| 78 |
+
"precision": 0.7640156453715776,
|
| 79 |
+
"recall": 0.9766666666666667,
|
| 80 |
+
"f1-score": 0.8573518653986832,
|
| 81 |
+
"support": 600.0
|
| 82 |
+
},
|
| 83 |
+
"relevant": {
|
| 84 |
+
"precision": 0.9186046511627907,
|
| 85 |
+
"recall": 0.46607669616519176,
|
| 86 |
+
"f1-score": 0.6183953033268101,
|
| 87 |
+
"support": 339.0
|
| 88 |
+
},
|
| 89 |
+
"accuracy": 0.792332268370607,
|
| 90 |
+
"macro avg": {
|
| 91 |
+
"precision": 0.8413101482671841,
|
| 92 |
+
"recall": 0.7213716814159292,
|
| 93 |
+
"f1-score": 0.7378735843627466,
|
| 94 |
+
"support": 939.0
|
| 95 |
+
},
|
| 96 |
+
"weighted avg": {
|
| 97 |
+
"precision": 0.8198257337243159,
|
| 98 |
+
"recall": 0.792332268370607,
|
| 99 |
+
"f1-score": 0.771083202414269,
|
| 100 |
+
"support": 939.0
|
| 101 |
+
}
|
| 102 |
+
}
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"classifier": "hist_gradient_boosting",
|
| 106 |
+
"accuracy": 0.8604898828541001,
|
| 107 |
+
"macro_f1": 0.8457801386874217,
|
| 108 |
+
"report": {
|
| 109 |
+
"not_relevant": {
|
| 110 |
+
"precision": 0.8728139904610492,
|
| 111 |
+
"recall": 0.915,
|
| 112 |
+
"f1-score": 0.8934092758340114,
|
| 113 |
+
"support": 600.0
|
| 114 |
+
},
|
| 115 |
+
"relevant": {
|
| 116 |
+
"precision": 0.8354838709677419,
|
| 117 |
+
"recall": 0.7640117994100295,
|
| 118 |
+
"f1-score": 0.7981510015408321,
|
| 119 |
+
"support": 339.0
|
| 120 |
+
},
|
| 121 |
+
"accuracy": 0.8604898828541001,
|
| 122 |
+
"macro avg": {
|
| 123 |
+
"precision": 0.8541489307143956,
|
| 124 |
+
"recall": 0.8395058997050148,
|
| 125 |
+
"f1-score": 0.8457801386874217,
|
| 126 |
+
"support": 939.0
|
| 127 |
+
},
|
| 128 |
+
"weighted avg": {
|
| 129 |
+
"precision": 0.8593369824650627,
|
| 130 |
+
"recall": 0.8604898828541001,
|
| 131 |
+
"f1-score": 0.8590189084374323,
|
| 132 |
+
"support": 939.0
|
| 133 |
+
}
|
| 134 |
+
}
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"classifier": "mlp",
|
| 138 |
+
"accuracy": 0.8647497337593184,
|
| 139 |
+
"macro_f1": 0.8519598532670428,
|
| 140 |
+
"report": {
|
| 141 |
+
"not_relevant": {
|
| 142 |
+
"precision": 0.8845528455284553,
|
| 143 |
+
"recall": 0.9066666666666666,
|
| 144 |
+
"f1-score": 0.8954732510288066,
|
| 145 |
+
"support": 600.0
|
| 146 |
+
},
|
| 147 |
+
"relevant": {
|
| 148 |
+
"precision": 0.8271604938271605,
|
| 149 |
+
"recall": 0.7905604719764012,
|
| 150 |
+
"f1-score": 0.808446455505279,
|
| 151 |
+
"support": 339.0
|
| 152 |
+
},
|
| 153 |
+
"accuracy": 0.8647497337593184,
|
| 154 |
+
"macro avg": {
|
| 155 |
+
"precision": 0.8558566696778078,
|
| 156 |
+
"recall": 0.848613569321534,
|
| 157 |
+
"f1-score": 0.8519598532670428,
|
| 158 |
+
"support": 939.0
|
| 159 |
+
},
|
| 160 |
+
"weighted avg": {
|
| 161 |
+
"precision": 0.8638329230292658,
|
| 162 |
+
"recall": 0.8647497337593184,
|
| 163 |
+
"f1-score": 0.8640546315586513,
|
| 164 |
+
"support": 939.0
|
| 165 |
+
}
|
| 166 |
+
}
|
| 167 |
+
}
|
| 168 |
+
],
|
| 169 |
+
"best_classifier": "mlp",
|
| 170 |
+
"best_macro_f1": 0.8519598532670428,
|
| 171 |
+
"best_accuracy": 0.8647497337593184
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"variant": "abstract",
|
| 175 |
+
"feature_dim": 1537,
|
| 176 |
+
"train_rows": 2537,
|
| 177 |
+
"test_rows": 939,
|
| 178 |
+
"results": [
|
| 179 |
+
{
|
| 180 |
+
"classifier": "logistic_regression",
|
| 181 |
+
"accuracy": 0.8168264110756124,
|
| 182 |
+
"macro_f1": 0.7988091085754148,
|
| 183 |
+
"report": {
|
| 184 |
+
"not_relevant": {
|
| 185 |
+
"precision": 0.8451612903225807,
|
| 186 |
+
"recall": 0.8733333333333333,
|
| 187 |
+
"f1-score": 0.8590163934426229,
|
| 188 |
+
"support": 600.0
|
| 189 |
+
},
|
| 190 |
+
"relevant": {
|
| 191 |
+
"precision": 0.7617554858934169,
|
| 192 |
+
"recall": 0.7168141592920354,
|
| 193 |
+
"f1-score": 0.7386018237082067,
|
| 194 |
+
"support": 339.0
|
| 195 |
+
},
|
| 196 |
+
"accuracy": 0.8168264110756124,
|
| 197 |
+
"macro avg": {
|
| 198 |
+
"precision": 0.8034583881079989,
|
| 199 |
+
"recall": 0.7950737463126843,
|
| 200 |
+
"f1-score": 0.7988091085754148,
|
| 201 |
+
"support": 939.0
|
| 202 |
+
},
|
| 203 |
+
"weighted avg": {
|
| 204 |
+
"precision": 0.8150499296181222,
|
| 205 |
+
"recall": 0.8168264110756124,
|
| 206 |
+
"f1-score": 0.8155440407909007,
|
| 207 |
+
"support": 939.0
|
| 208 |
+
}
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"classifier": "linear_svm",
|
| 213 |
+
"accuracy": 0.7976570820021299,
|
| 214 |
+
"macro_f1": 0.778674004088843,
|
| 215 |
+
"report": {
|
| 216 |
+
"not_relevant": {
|
| 217 |
+
"precision": 0.8338762214983714,
|
| 218 |
+
"recall": 0.8533333333333334,
|
| 219 |
+
"f1-score": 0.8434925864909391,
|
| 220 |
+
"support": 600.0
|
| 221 |
+
},
|
| 222 |
+
"relevant": {
|
| 223 |
+
"precision": 0.7292307692307692,
|
| 224 |
+
"recall": 0.6991150442477876,
|
| 225 |
+
"f1-score": 0.713855421686747,
|
| 226 |
+
"support": 339.0
|
| 227 |
+
},
|
| 228 |
+
"accuracy": 0.7976570820021299,
|
| 229 |
+
"macro avg": {
|
| 230 |
+
"precision": 0.7815534953645703,
|
| 231 |
+
"recall": 0.7762241887905605,
|
| 232 |
+
"f1-score": 0.778674004088843,
|
| 233 |
+
"support": 939.0
|
| 234 |
+
},
|
| 235 |
+
"weighted avg": {
|
| 236 |
+
"precision": 0.796096872916138,
|
| 237 |
+
"recall": 0.7976570820021299,
|
| 238 |
+
"f1-score": 0.796690670762908,
|
| 239 |
+
"support": 939.0
|
| 240 |
+
}
|
| 241 |
+
}
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"classifier": "random_forest",
|
| 245 |
+
"accuracy": 0.805111821086262,
|
| 246 |
+
"macro_f1": 0.7533986490074208,
|
| 247 |
+
"report": {
|
| 248 |
+
"not_relevant": {
|
| 249 |
+
"precision": 0.7711313394018205,
|
| 250 |
+
"recall": 0.9883333333333333,
|
| 251 |
+
"f1-score": 0.8663257852447042,
|
| 252 |
+
"support": 600.0
|
| 253 |
+
},
|
| 254 |
+
"relevant": {
|
| 255 |
+
"precision": 0.9588235294117647,
|
| 256 |
+
"recall": 0.4808259587020649,
|
| 257 |
+
"f1-score": 0.6404715127701375,
|
| 258 |
+
"support": 339.0
|
| 259 |
+
},
|
| 260 |
+
"accuracy": 0.805111821086262,
|
| 261 |
+
"macro avg": {
|
| 262 |
+
"precision": 0.8649774344067926,
|
| 263 |
+
"recall": 0.7345796460176991,
|
| 264 |
+
"f1-score": 0.7533986490074208,
|
| 265 |
+
"support": 939.0
|
| 266 |
+
},
|
| 267 |
+
"weighted avg": {
|
| 268 |
+
"precision": 0.8388924175843243,
|
| 269 |
+
"recall": 0.805111821086262,
|
| 270 |
+
"f1-score": 0.7847873418273686,
|
| 271 |
+
"support": 939.0
|
| 272 |
+
}
|
| 273 |
+
}
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"classifier": "hist_gradient_boosting",
|
| 277 |
+
"accuracy": 0.8743343982960596,
|
| 278 |
+
"macro_f1": 0.8627315434246128,
|
| 279 |
+
"report": {
|
| 280 |
+
"not_relevant": {
|
| 281 |
+
"precision": 0.8937908496732027,
|
| 282 |
+
"recall": 0.9116666666666666,
|
| 283 |
+
"f1-score": 0.9026402640264026,
|
| 284 |
+
"support": 600.0
|
| 285 |
+
},
|
| 286 |
+
"relevant": {
|
| 287 |
+
"precision": 0.8379204892966361,
|
| 288 |
+
"recall": 0.8082595870206489,
|
| 289 |
+
"f1-score": 0.8228228228228228,
|
| 290 |
+
"support": 339.0
|
| 291 |
+
},
|
| 292 |
+
"accuracy": 0.8743343982960596,
|
| 293 |
+
"macro avg": {
|
| 294 |
+
"precision": 0.8658556694849193,
|
| 295 |
+
"recall": 0.8599631268436578,
|
| 296 |
+
"f1-score": 0.8627315434246128,
|
| 297 |
+
"support": 939.0
|
| 298 |
+
},
|
| 299 |
+
"weighted avg": {
|
| 300 |
+
"precision": 0.8736204000803847,
|
| 301 |
+
"recall": 0.8743343982960596,
|
| 302 |
+
"f1-score": 0.8738243826973147,
|
| 303 |
+
"support": 939.0
|
| 304 |
+
}
|
| 305 |
+
}
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"classifier": "mlp",
|
| 309 |
+
"accuracy": 0.8711395101171459,
|
| 310 |
+
"macro_f1": 0.8593366405154153,
|
| 311 |
+
"report": {
|
| 312 |
+
"not_relevant": {
|
| 313 |
+
"precision": 0.8919803600654664,
|
| 314 |
+
"recall": 0.9083333333333333,
|
| 315 |
+
"f1-score": 0.9000825763831544,
|
| 316 |
+
"support": 600.0
|
| 317 |
+
},
|
| 318 |
+
"relevant": {
|
| 319 |
+
"precision": 0.8323170731707317,
|
| 320 |
+
"recall": 0.8053097345132744,
|
| 321 |
+
"f1-score": 0.8185907046476761,
|
| 322 |
+
"support": 339.0
|
| 323 |
+
},
|
| 324 |
+
"accuracy": 0.8711395101171459,
|
| 325 |
+
"macro avg": {
|
| 326 |
+
"precision": 0.862148716618099,
|
| 327 |
+
"recall": 0.8568215339233038,
|
| 328 |
+
"f1-score": 0.8593366405154153,
|
| 329 |
+
"support": 939.0
|
| 330 |
+
},
|
| 331 |
+
"weighted avg": {
|
| 332 |
+
"precision": 0.8704405791737571,
|
| 333 |
+
"recall": 0.8711395101171459,
|
| 334 |
+
"f1-score": 0.8706621881847229,
|
| 335 |
+
"support": 939.0
|
| 336 |
+
}
|
| 337 |
+
}
|
| 338 |
+
}
|
| 339 |
+
],
|
| 340 |
+
"best_classifier": "hist_gradient_boosting",
|
| 341 |
+
"best_macro_f1": 0.8627315434246128,
|
| 342 |
+
"best_accuracy": 0.8743343982960596
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"variant": "title_abstract",
|
| 346 |
+
"feature_dim": 1537,
|
| 347 |
+
"train_rows": 2537,
|
| 348 |
+
"test_rows": 939,
|
| 349 |
+
"results": [
|
| 350 |
+
{
|
| 351 |
+
"classifier": "logistic_regression",
|
| 352 |
+
"accuracy": 0.8178913738019169,
|
| 353 |
+
"macro_f1": 0.8035144180468794,
|
| 354 |
+
"report": {
|
| 355 |
+
"not_relevant": {
|
| 356 |
+
"precision": 0.8617200674536256,
|
| 357 |
+
"recall": 0.8516666666666667,
|
| 358 |
+
"f1-score": 0.856663872590109,
|
| 359 |
+
"support": 600.0
|
| 360 |
+
},
|
| 361 |
+
"relevant": {
|
| 362 |
+
"precision": 0.7427745664739884,
|
| 363 |
+
"recall": 0.7581120943952803,
|
| 364 |
+
"f1-score": 0.7503649635036497,
|
| 365 |
+
"support": 339.0
|
| 366 |
+
},
|
| 367 |
+
"accuracy": 0.8178913738019169,
|
| 368 |
+
"macro avg": {
|
| 369 |
+
"precision": 0.802247316963807,
|
| 370 |
+
"recall": 0.8048893805309735,
|
| 371 |
+
"f1-score": 0.8035144180468794,
|
| 372 |
+
"support": 939.0
|
| 373 |
+
},
|
| 374 |
+
"weighted avg": {
|
| 375 |
+
"precision": 0.8187780814769515,
|
| 376 |
+
"recall": 0.8178913738019169,
|
| 377 |
+
"f1-score": 0.8182875891180008,
|
| 378 |
+
"support": 939.0
|
| 379 |
+
}
|
| 380 |
+
}
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"classifier": "linear_svm",
|
| 384 |
+
"accuracy": 0.7997870074547391,
|
| 385 |
+
"macro_f1": 0.7849038395929389,
|
| 386 |
+
"report": {
|
| 387 |
+
"not_relevant": {
|
| 388 |
+
"precision": 0.8515358361774744,
|
| 389 |
+
"recall": 0.8316666666666667,
|
| 390 |
+
"f1-score": 0.8414839797639123,
|
| 391 |
+
"support": 600.0
|
| 392 |
+
},
|
| 393 |
+
"relevant": {
|
| 394 |
+
"precision": 0.7138810198300283,
|
| 395 |
+
"recall": 0.7433628318584071,
|
| 396 |
+
"f1-score": 0.7283236994219653,
|
| 397 |
+
"support": 339.0
|
| 398 |
+
},
|
| 399 |
+
"accuracy": 0.7997870074547391,
|
| 400 |
+
"macro avg": {
|
| 401 |
+
"precision": 0.7827084280037513,
|
| 402 |
+
"recall": 0.787514749262537,
|
| 403 |
+
"f1-score": 0.7849038395929389,
|
| 404 |
+
"support": 939.0
|
| 405 |
+
},
|
| 406 |
+
"weighted avg": {
|
| 407 |
+
"precision": 0.8018393689338277,
|
| 408 |
+
"recall": 0.7997870074547391,
|
| 409 |
+
"f1-score": 0.8006305878193755,
|
| 410 |
+
"support": 939.0
|
| 411 |
+
}
|
| 412 |
+
}
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"classifier": "random_forest",
|
| 416 |
+
"accuracy": 0.7965921192758253,
|
| 417 |
+
"macro_f1": 0.7444970759817364,
|
| 418 |
+
"report": {
|
| 419 |
+
"not_relevant": {
|
| 420 |
+
"precision": 0.7680209698558322,
|
| 421 |
+
"recall": 0.9766666666666667,
|
| 422 |
+
"f1-score": 0.8598679383712399,
|
| 423 |
+
"support": 600.0
|
| 424 |
+
},
|
| 425 |
+
"relevant": {
|
| 426 |
+
"precision": 0.9204545454545454,
|
| 427 |
+
"recall": 0.4778761061946903,
|
| 428 |
+
"f1-score": 0.629126213592233,
|
| 429 |
+
"support": 339.0
|
| 430 |
+
},
|
| 431 |
+
"accuracy": 0.7965921192758253,
|
| 432 |
+
"macro avg": {
|
| 433 |
+
"precision": 0.8442377576551888,
|
| 434 |
+
"recall": 0.7272713864306785,
|
| 435 |
+
"f1-score": 0.7444970759817364,
|
| 436 |
+
"support": 939.0
|
| 437 |
+
},
|
| 438 |
+
"weighted avg": {
|
| 439 |
+
"precision": 0.823052899704569,
|
| 440 |
+
"recall": 0.7965921192758253,
|
| 441 |
+
"f1-score": 0.7765650153679563,
|
| 442 |
+
"support": 939.0
|
| 443 |
+
}
|
| 444 |
+
}
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"classifier": "hist_gradient_boosting",
|
| 448 |
+
"accuracy": 0.8828541001064962,
|
| 449 |
+
"macro_f1": 0.8716881658451264,
|
| 450 |
+
"report": {
|
| 451 |
+
"not_relevant": {
|
| 452 |
+
"precision": 0.8977272727272727,
|
| 453 |
+
"recall": 0.9216666666666666,
|
| 454 |
+
"f1-score": 0.9095394736842105,
|
| 455 |
+
"support": 600.0
|
| 456 |
+
},
|
| 457 |
+
"relevant": {
|
| 458 |
+
"precision": 0.8544891640866873,
|
| 459 |
+
"recall": 0.8141592920353983,
|
| 460 |
+
"f1-score": 0.8338368580060423,
|
| 461 |
+
"support": 339.0
|
| 462 |
+
},
|
| 463 |
+
"accuracy": 0.8828541001064962,
|
| 464 |
+
"macro avg": {
|
| 465 |
+
"precision": 0.8761082184069799,
|
| 466 |
+
"recall": 0.8679129793510325,
|
| 467 |
+
"f1-score": 0.8716881658451264,
|
| 468 |
+
"support": 939.0
|
| 469 |
+
},
|
| 470 |
+
"weighted avg": {
|
| 471 |
+
"precision": 0.8821173485215661,
|
| 472 |
+
"recall": 0.8828541001064962,
|
| 473 |
+
"f1-score": 0.8822091363946484,
|
| 474 |
+
"support": 939.0
|
| 475 |
+
}
|
| 476 |
+
}
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"classifier": "mlp",
|
| 480 |
+
"accuracy": 0.8572949946751863,
|
| 481 |
+
"macro_f1": 0.8441188713465941,
|
| 482 |
+
"report": {
|
| 483 |
+
"not_relevant": {
|
| 484 |
+
"precision": 0.880718954248366,
|
| 485 |
+
"recall": 0.8983333333333333,
|
| 486 |
+
"f1-score": 0.8894389438943895,
|
| 487 |
+
"support": 600.0
|
| 488 |
+
},
|
| 489 |
+
"relevant": {
|
| 490 |
+
"precision": 0.8134556574923547,
|
| 491 |
+
"recall": 0.7846607669616519,
|
| 492 |
+
"f1-score": 0.7987987987987988,
|
| 493 |
+
"support": 339.0
|
| 494 |
+
},
|
| 495 |
+
"accuracy": 0.8572949946751863,
|
| 496 |
+
"macro avg": {
|
| 497 |
+
"precision": 0.8470873058703603,
|
| 498 |
+
"recall": 0.8414970501474925,
|
| 499 |
+
"f1-score": 0.8441188713465941,
|
| 500 |
+
"support": 939.0
|
| 501 |
+
},
|
| 502 |
+
"weighted avg": {
|
| 503 |
+
"precision": 0.8564353998284641,
|
| 504 |
+
"recall": 0.8572949946751863,
|
| 505 |
+
"f1-score": 0.8567158244189844,
|
| 506 |
+
"support": 939.0
|
| 507 |
+
}
|
| 508 |
+
}
|
| 509 |
+
}
|
| 510 |
+
],
|
| 511 |
+
"best_classifier": "hist_gradient_boosting",
|
| 512 |
+
"best_macro_f1": 0.8716881658451264,
|
| 513 |
+
"best_accuracy": 0.8828541001064962
|
| 514 |
+
}
|
| 515 |
+
]
|