File size: 38,397 Bytes
f7eb132 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 |
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8xtpBxD_mHlR",
"outputId": "be506f46-b4cf-42a1-c98e-c3ffe66d1254"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Accuracy: 0.0\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" Acanthosis nigricans 0.00 0.00 0.00 0.0\n",
" Acariasis 0.00 0.00 0.00 0.0\n",
" Acne 0.00 0.00 0.00 0.0\n",
" Acute bronchitis 0.00 0.00 0.00 1.0\n",
" Acute bronchospasm 0.00 0.00 0.00 1.0\n",
" Acute glaucoma 0.00 0.00 0.00 1.0\n",
" Acute pancreatitis 0.00 0.00 0.00 0.0\n",
" Acute stress reaction 0.00 0.00 0.00 1.0\n",
" Adjustment reaction 0.00 0.00 0.00 1.0\n",
" Alcohol intoxication 0.00 0.00 0.00 0.0\n",
" Alcohol withdrawal 0.00 0.00 0.00 1.0\n",
" Alcoholic liver disease 0.00 0.00 0.00 0.0\n",
" Allergy 0.00 0.00 0.00 0.0\n",
" Allergy to animals 0.00 0.00 0.00 1.0\n",
" Anemia due to chronic kidney disease 0.00 0.00 0.00 1.0\n",
" Anemia of chronic disease 0.00 0.00 0.00 1.0\n",
" Angina 0.00 0.00 0.00 0.0\n",
" Ankylosing spondylitis 0.00 0.00 0.00 0.0\n",
" Aphakia 0.00 0.00 0.00 0.0\n",
" Aphthous ulcer 0.00 0.00 0.00 1.0\n",
" Arthritis of the hip 0.00 0.00 0.00 1.0\n",
" Asthma 0.00 0.00 0.00 0.0\n",
" Atelectasis 0.00 0.00 0.00 0.0\n",
" Athlete's foot 0.00 0.00 0.00 1.0\n",
" Atonic bladder 0.00 0.00 0.00 0.0\n",
" Atrial fibrillation 0.00 0.00 0.00 0.0\n",
" Benign vaginal discharge (leukorrhea) 0.00 0.00 0.00 0.0\n",
" Bipolar disorder 0.00 0.00 0.00 1.0\n",
" Birth trauma 0.00 0.00 0.00 0.0\n",
" Bladder cancer 0.00 0.00 0.00 0.0\n",
" Breast cancer 0.00 0.00 0.00 1.0\n",
" Breast cyst 0.00 0.00 0.00 0.0\n",
" Bursitis 0.00 0.00 0.00 1.0\n",
" Carbon monoxide poisoning 0.00 0.00 0.00 0.0\n",
" Cellulitis or abscess of mouth 0.00 0.00 0.00 1.0\n",
" Cervicitis 0.00 0.00 0.00 0.0\n",
" Chalazion 0.00 0.00 0.00 0.0\n",
" Cholecystitis 0.00 0.00 0.00 0.0\n",
" Choledocholithiasis 0.00 0.00 0.00 0.0\n",
" Cholesteatoma 0.00 0.00 0.00 0.0\n",
" Chondromalacia of the patella 0.00 0.00 0.00 0.0\n",
" Chronic back pain 0.00 0.00 0.00 0.0\n",
" Chronic glaucoma 0.00 0.00 0.00 1.0\n",
" Chronic kidney disease 0.00 0.00 0.00 0.0\n",
" Chronic obstructive pulmonary disease (COPD) 0.00 0.00 0.00 0.0\n",
" Chronic otitis media 0.00 0.00 0.00 1.0\n",
" Chronic pain disorder 0.00 0.00 0.00 1.0\n",
" Chronic pancreatitis 0.00 0.00 0.00 1.0\n",
" Chronic rheumatic fever 0.00 0.00 0.00 0.0\n",
" Chronic ulcer 0.00 0.00 0.00 0.0\n",
" Cirrhosis 0.00 0.00 0.00 1.0\n",
" Cold sore 0.00 0.00 0.00 0.0\n",
" Colorectal cancer 0.00 0.00 0.00 0.0\n",
" Congenital rubella 0.00 0.00 0.00 1.0\n",
" Conjunctivitis due to allergy 0.00 0.00 0.00 1.0\n",
" Coronary atherosclerosis 0.00 0.00 0.00 1.0\n",
" Croup 0.00 0.00 0.00 0.0\n",
" Crushing injury 0.00 0.00 0.00 1.0\n",
" Cyst of the eyelid 0.00 0.00 0.00 1.0\n",
" Cystic Fibrosis 0.00 0.00 0.00 1.0\n",
" Cytomegalovirus infection 0.00 0.00 0.00 1.0\n",
" De Quervain disease 0.00 0.00 0.00 1.0\n",
" Degenerative disc disease 0.00 0.00 0.00 1.0\n",
" Dengue fever 0.00 0.00 0.00 0.0\n",
" Depression 0.00 0.00 0.00 0.0\n",
" Diabetes insipidus 0.00 0.00 0.00 1.0\n",
" Diaper rash 0.00 0.00 0.00 0.0\n",
" Dislocation of the ankle 0.00 0.00 0.00 0.0\n",
" Dislocation of the finger 0.00 0.00 0.00 1.0\n",
" Dislocation of the foot 0.00 0.00 0.00 1.0\n",
" Dislocation of the hip 0.00 0.00 0.00 1.0\n",
" Dislocation of the shoulder 0.00 0.00 0.00 0.0\n",
" Dissociative disorder 0.00 0.00 0.00 1.0\n",
" Down syndrome 0.00 0.00 0.00 1.0\n",
" Drug abuse (cocaine) 0.00 0.00 0.00 0.0\n",
" Drug reaction 0.00 0.00 0.00 1.0\n",
" Dry eye of unknown cause 0.00 0.00 0.00 0.0\n",
" Dyshidrosis 0.00 0.00 0.00 1.0\n",
" Ear drum damage 0.00 0.00 0.00 0.0\n",
" Ear wax impaction 0.00 0.00 0.00 1.0\n",
" Emphysema 0.00 0.00 0.00 0.0\n",
" Empyema 0.00 0.00 0.00 1.0\n",
" Encephalitis 0.00 0.00 0.00 0.0\n",
" Endocarditis 0.00 0.00 0.00 1.0\n",
" Endometrial hyperplasia 0.00 0.00 0.00 1.0\n",
" Esophageal cancer 0.00 0.00 0.00 0.0\n",
" Essential tremor 0.00 0.00 0.00 1.0\n",
" Factitious disorder 0.00 0.00 0.00 1.0\n",
" Fat embolism 0.00 0.00 0.00 1.0\n",
" Female genitalia infection 0.00 0.00 0.00 1.0\n",
" Fibroadenoma 0.00 0.00 0.00 1.0\n",
" Fibromyalgia 0.00 0.00 0.00 0.0\n",
" Floaters 0.00 0.00 0.00 0.0\n",
" Fluid overload 0.00 0.00 0.00 1.0\n",
" Foreign body in the eye 0.00 0.00 0.00 0.0\n",
" Foreign body in the throat 0.00 0.00 0.00 0.0\n",
" Foreign body in the vagina 0.00 0.00 0.00 0.0\n",
" Fracture of the ankle 0.00 0.00 0.00 1.0\n",
" Fracture of the arm 0.00 0.00 0.00 1.0\n",
" Fracture of the finger 0.00 0.00 0.00 0.0\n",
" Fracture of the hand 0.00 0.00 0.00 0.0\n",
" Fracture of the jaw 0.00 0.00 0.00 1.0\n",
" Fracture of the leg 0.00 0.00 0.00 0.0\n",
" Fracture of the patella 0.00 0.00 0.00 1.0\n",
" G6PD enzyme deficiency 0.00 0.00 0.00 0.0\n",
" Galactorrhea of unknown cause 0.00 0.00 0.00 0.0\n",
" Gallstone 0.00 0.00 0.00 0.0\n",
" Gastritis 0.00 0.00 0.00 0.0\n",
" Gastroduodenal ulcer 0.00 0.00 0.00 1.0\n",
" Gout 0.00 0.00 0.00 0.0\n",
" Granuloma inguinale 0.00 0.00 0.00 0.0\n",
" Gynecomastia 0.00 0.00 0.00 0.0\n",
" Hashimoto thyroiditis 0.00 0.00 0.00 1.0\n",
" Head and neck cancer 0.00 0.00 0.00 1.0\n",
" Heart attack 0.00 0.00 0.00 1.0\n",
" Heart contusion 0.00 0.00 0.00 0.0\n",
" Heart failure 0.00 0.00 0.00 1.0\n",
" Hemarthrosis 0.00 0.00 0.00 1.0\n",
" Hematoma 0.00 0.00 0.00 1.0\n",
" Hemolytic anemia 0.00 0.00 0.00 1.0\n",
" High blood pressure 0.00 0.00 0.00 0.0\n",
" Hirsutism 0.00 0.00 0.00 1.0\n",
" Human immunodeficiency virus infection (HIV) 0.00 0.00 0.00 1.0\n",
" Hydatidiform mole 0.00 0.00 0.00 1.0\n",
" Hydrocele of the testicle 0.00 0.00 0.00 0.0\n",
" Hydronephrosis 0.00 0.00 0.00 1.0\n",
" Hyperemesis gravidarum 0.00 0.00 0.00 0.0\n",
" Hypergammaglobulinemia 0.00 0.00 0.00 1.0\n",
" Hyperkalemia 0.00 0.00 0.00 0.0\n",
" Hypernatremia 0.00 0.00 0.00 1.0\n",
"Hypertrophic obstructive cardiomyopathy (HOCM) 0.00 0.00 0.00 1.0\n",
" Hyponatremia 0.00 0.00 0.00 0.0\n",
" Impetigo 0.00 0.00 0.00 1.0\n",
" Indigestion 0.00 0.00 0.00 1.0\n",
" Infectious gastroenteritis 0.00 0.00 0.00 1.0\n",
" Ingrown toe nail 0.00 0.00 0.00 1.0\n",
" Inguinal hernia 0.00 0.00 0.00 0.0\n",
" Injury of the ankle 0.00 0.00 0.00 0.0\n",
" Injury to the abdomen 0.00 0.00 0.00 1.0\n",
" Injury to the finger 0.00 0.00 0.00 1.0\n",
" Injury to the hip 0.00 0.00 0.00 1.0\n",
" Injury to the knee 0.00 0.00 0.00 0.0\n",
" Insect bite 0.00 0.00 0.00 0.0\n",
" Intestinal cancer 0.00 0.00 0.00 1.0\n",
" Intestinal malabsorption 0.00 0.00 0.00 1.0\n",
" Intestinal obstruction 0.00 0.00 0.00 0.0\n",
" Intracranial abscess 0.00 0.00 0.00 1.0\n",
" Irritable bowel syndrome 0.00 0.00 0.00 0.0\n",
" Kaposi sarcoma 0.00 0.00 0.00 1.0\n",
" Kidney cancer 0.00 0.00 0.00 1.0\n",
" Kidney stone 0.00 0.00 0.00 1.0\n",
" Knee ligament or meniscus tear 0.00 0.00 0.00 1.0\n",
" Lactose intolerance 0.00 0.00 0.00 1.0\n",
" Leishmaniasis 0.00 0.00 0.00 1.0\n",
" Lichen planus 0.00 0.00 0.00 1.0\n",
" Lipoma 0.00 0.00 0.00 1.0\n",
" Lung cancer 0.00 0.00 0.00 1.0\n",
" Lymphadenitis 0.00 0.00 0.00 0.0\n",
" Lymphangitis 0.00 0.00 0.00 1.0\n",
" Lymphogranuloma venereum 0.00 0.00 0.00 1.0\n",
" Magnesium deficiency 0.00 0.00 0.00 1.0\n",
" Malignant hypertension 0.00 0.00 0.00 1.0\n",
" Marijuana abuse 0.00 0.00 0.00 0.0\n",
" Mastoiditis 0.00 0.00 0.00 1.0\n",
" Meckel diverticulum 0.00 0.00 0.00 0.0\n",
" Migraine 0.00 0.00 0.00 1.0\n",
" Mitral valve disease 0.00 0.00 0.00 1.0\n",
" Molluscum contagiosum 0.00 0.00 0.00 1.0\n",
" Mononucleosis 0.00 0.00 0.00 0.0\n",
" Moyamoya disease 0.00 0.00 0.00 0.0\n",
" Mucositis 0.00 0.00 0.00 0.0\n",
" Mumps 0.00 0.00 0.00 1.0\n",
" Muscle spasm 0.00 0.00 0.00 1.0\n",
" Narcolepsy 0.00 0.00 0.00 0.0\n",
" Neonatal jaundice 0.00 0.00 0.00 1.0\n",
" Neurosis 0.00 0.00 0.00 0.0\n",
" Noninfectious gastroenteritis 0.00 0.00 0.00 0.0\n",
" Obstructive sleep apnea (OSA) 0.00 0.00 0.00 1.0\n",
" Onychomycosis 0.00 0.00 0.00 0.0\n",
" Open wound of the cheek 0.00 0.00 0.00 1.0\n",
" Open wound of the finger 0.00 0.00 0.00 0.0\n",
" Open wound of the hand 0.00 0.00 0.00 1.0\n",
" Open wound of the head 0.00 0.00 0.00 1.0\n",
" Open wound of the hip 0.00 0.00 0.00 0.0\n",
" Open wound of the mouth 0.00 0.00 0.00 1.0\n",
" Open wound of the neck 0.00 0.00 0.00 1.0\n",
" Open wound of the shoulder 0.00 0.00 0.00 0.0\n",
" Oral leukoplakia 0.00 0.00 0.00 0.0\n",
" Oral mucosal lesion 0.00 0.00 0.00 0.0\n",
" Oral thrush (yeast infection) 0.00 0.00 0.00 1.0\n",
" Osteoarthritis 0.00 0.00 0.00 0.0\n",
" Otitis externa (swimmer's ear) 0.00 0.00 0.00 0.0\n",
" Pancreatic cancer 0.00 0.00 0.00 1.0\n",
" Panic disorder 0.00 0.00 0.00 0.0\n",
" Parkinson disease 0.00 0.00 0.00 0.0\n",
" Paronychia 0.00 0.00 0.00 0.0\n",
" Patau syndrome 0.00 0.00 0.00 0.0\n",
" Pelvic fistula 0.00 0.00 0.00 1.0\n",
" Pelvic organ prolapse 0.00 0.00 0.00 0.0\n",
" Pemphigus 0.00 0.00 0.00 0.0\n",
" Pericarditis 0.00 0.00 0.00 1.0\n",
" Perirectal infection 0.00 0.00 0.00 1.0\n",
" Peritonsillar abscess 0.00 0.00 0.00 1.0\n",
" Personality disorder 0.00 0.00 0.00 0.0\n",
" Phimosis 0.00 0.00 0.00 1.0\n",
" Pilonidal cyst 0.00 0.00 0.00 1.0\n",
" Placental abruption 0.00 0.00 0.00 1.0\n",
" Pleural effusion 0.00 0.00 0.00 1.0\n",
" Pneumonia 0.00 0.00 0.00 0.0\n",
" Pneumothorax 0.00 0.00 0.00 1.0\n",
" Poisoning due to analgesics 0.00 0.00 0.00 1.0\n",
" Poisoning due to antidepressants 0.00 0.00 0.00 0.0\n",
" Polycystic ovarian syndrome (PCOS) 0.00 0.00 0.00 0.0\n",
" Premature ovarian failure 0.00 0.00 0.00 1.0\n",
" Premenstrual tension syndrome 0.00 0.00 0.00 0.0\n",
" Problem during pregnancy 0.00 0.00 0.00 0.0\n",
" Protein deficiency 0.00 0.00 0.00 0.0\n",
" Pseudohypoparathyroidism 0.00 0.00 0.00 1.0\n",
" Psoriasis 0.00 0.00 0.00 0.0\n",
" Psychotic disorder 0.00 0.00 0.00 1.0\n",
" Pulmonary embolism 0.00 0.00 0.00 0.0\n",
" Pulmonary eosinophilia 0.00 0.00 0.00 1.0\n",
" Pulmonary fibrosis 0.00 0.00 0.00 0.0\n",
" Pyelonephritis 0.00 0.00 0.00 0.0\n",
" Pyloric stenosis 0.00 0.00 0.00 1.0\n",
" Rabies 0.00 0.00 0.00 0.0\n",
" Reactive arthritis 0.00 0.00 0.00 1.0\n",
" Sarcoidosis 0.00 0.00 0.00 1.0\n",
" Scarlet fever 0.00 0.00 0.00 1.0\n",
" Sciatica 0.00 0.00 0.00 0.0\n",
" Scoliosis 0.00 0.00 0.00 1.0\n",
" Scurvy 0.00 0.00 0.00 1.0\n",
" Sebaceous cyst 0.00 0.00 0.00 0.0\n",
" Sepsis 0.00 0.00 0.00 1.0\n",
" Septic arthritis 0.00 0.00 0.00 1.0\n",
" Shingles (herpes zoster) 0.00 0.00 0.00 0.0\n",
" Sickle cell crisis 0.00 0.00 0.00 1.0\n",
" Sjogren syndrome 0.00 0.00 0.00 1.0\n",
" Skin pigmentation disorder 0.00 0.00 0.00 1.0\n",
" Smoking or tobacco addiction 0.00 0.00 0.00 1.0\n",
" Spermatocele 0.00 0.00 0.00 1.0\n",
" Spondylitis 0.00 0.00 0.00 0.0\n",
" Spondylolisthesis 0.00 0.00 0.00 1.0\n",
" Spondylosis 0.00 0.00 0.00 0.0\n",
" Sporotrichosis 0.00 0.00 0.00 1.0\n",
" Sprain or strain 0.00 0.00 0.00 0.0\n",
" Stenosis of the tear duct 0.00 0.00 0.00 1.0\n",
" Strep throat 0.00 0.00 0.00 1.0\n",
" Stress incontinence 0.00 0.00 0.00 1.0\n",
" Stroke 0.00 0.00 0.00 1.0\n",
" Subarachnoid hemorrhage 0.00 0.00 0.00 1.0\n",
" Subconjunctival hemorrhage 0.00 0.00 0.00 1.0\n",
" Tendinitis 0.00 0.00 0.00 1.0\n",
" Testicular torsion 0.00 0.00 0.00 1.0\n",
" Thoracic aortic aneurysm 0.00 0.00 0.00 1.0\n",
" Tietze syndrome 0.00 0.00 0.00 0.0\n",
" Tonsillar hypertrophy 0.00 0.00 0.00 1.0\n",
" Tonsillitis 0.00 0.00 0.00 0.0\n",
" Tooth abscess 0.00 0.00 0.00 0.0\n",
" Tooth disorder 0.00 0.00 0.00 0.0\n",
" Torticollis 0.00 0.00 0.00 1.0\n",
" Tourette syndrome 0.00 0.00 0.00 1.0\n",
" Toxoplasmosis 0.00 0.00 0.00 1.0\n",
" Tracheitis 0.00 0.00 0.00 1.0\n",
" Transient ischemic attack 0.00 0.00 0.00 0.0\n",
" Trichinosis 0.00 0.00 0.00 1.0\n",
" Trichomonas infection 0.00 0.00 0.00 1.0\n",
" Tricuspid valve disease 0.00 0.00 0.00 1.0\n",
" Turner syndrome 0.00 0.00 0.00 1.0\n",
" Urethral stricture 0.00 0.00 0.00 0.0\n",
" Urge incontinence 0.00 0.00 0.00 1.0\n",
" Urinary tract obstruction 0.00 0.00 0.00 0.0\n",
" Vaginal yeast infection 0.00 0.00 0.00 0.0\n",
" Vaginitis 0.00 0.00 0.00 0.0\n",
" Varicocele of the testicles 0.00 0.00 0.00 1.0\n",
" Viral exanthem 0.00 0.00 0.00 1.0\n",
" Viral warts 0.00 0.00 0.00 0.0\n",
" Vitamin A deficiency 0.00 0.00 0.00 1.0\n",
" Vitreous degeneration 0.00 0.00 0.00 0.0\n",
" Vulvar cancer 0.00 0.00 0.00 1.0\n",
" Vulvar disorder 0.00 0.00 0.00 1.0\n",
" Vulvodynia 0.00 0.00 0.00 1.0\n",
" West Nile virus 0.00 0.00 0.00 1.0\n",
" Whooping cough 0.00 0.00 0.00 0.0\n",
" Wilson disease 0.00 0.00 0.00 0.0\n",
"\n",
" accuracy 0.00 160.0\n",
" macro avg 0.00 0.00 0.00 160.0\n",
" weighted avg 0.00 0.00 0.00 160.0\n",
"\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.9/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n"
]
}
],
"source": [
"import pandas as pd\n",
"import re\n",
"import spacy\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.metrics import accuracy_score, classification_report\n",
"from sklearn.linear_model import LogisticRegression\n",
"\n",
"# Load the data\n",
"data = pd.read_csv('symptomssingle.csv')\n",
"\n",
"# Check for any missing values and remove them\n",
"data = data.dropna()\n",
"\n",
"# Define a function to separate symptoms and diseases from the text\n",
"def separate_symptoms_and_diseases(text):\n",
" symptoms = re.findall(r'{\"symptoms\":\"(.*?)\"}', text)\n",
" disease = re.sub(r'(?:{\"symptoms\":\".*?\"},?)+', '', text).strip()\n",
" disease = disease.replace('],', '').strip() # Remove '],' from the disease name\n",
" return symptoms, disease\n",
"\n",
"# Apply the function to the data\n",
"data['symptoms_and_diseases'] = data['data'].apply(separate_symptoms_and_diseases)\n",
"data[['symptoms', 'disease']] = pd.DataFrame(data['symptoms_and_diseases'].tolist(), index=data.index)\n",
"data = data.drop(columns=['data', 'symptoms_and_diseases'])\n",
"\n",
"# Load the spaCy model\n",
"nlp = spacy.load('en_core_web_sm')\n",
"\n",
"# Preprocessing function\n",
"def preprocess(symptoms):\n",
" processed_symptoms = []\n",
" for symptom in symptoms:\n",
" doc = nlp(symptom)\n",
" processed_symptom = ' '.join(token.lemma_.lower() for token in doc if not token.is_stop and token.is_alpha)\n",
" processed_symptoms.append(processed_symptom)\n",
" return ' '.join(processed_symptoms)\n",
"\n",
"# Preprocess the symptoms column\n",
"data['symptoms_preprocessed'] = data['symptoms'].apply(preprocess)\n",
"\n",
"\n",
"# Split the data into train and test sets\n",
"X_train, X_test, y_train, y_test = train_test_split(data['symptoms_preprocessed'], data['disease'], test_size=0.2, random_state=42)\n",
"\n",
"# Create a pipeline for text classification\n",
"pipeline = Pipeline([\n",
" ('tfidf', TfidfVectorizer(ngram_range=(1, 2))),\n",
" ('classifier', LogisticRegression(solver='liblinear', C=10))\n",
"])\n",
"\n",
"# Train the model\n",
"pipeline.fit(X_train, y_train)\n",
"\n",
"# Make predictions\n",
"y_pred = pipeline.predict(X_test)\n",
"\n",
"# Evaluate the model\n",
"print(\"Accuracy: \", accuracy_score(y_test, y_pred))\n",
"print(\"Classification Report:\\n\", classification_report(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"source": [
"!pip install joblib\n",
"import joblib\n",
"\n",
"# Save the trained model\n",
"joblib.dump(pipeline, 'DiseasePredictionBasedonSymptoms.joblib')\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KGsxAjX2mNH6",
"outputId": "9cdcae24-8e5d-43f5-c321-40b3fedd2519"
},
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: joblib in /usr/local/lib/python3.9/dist-packages (1.1.1)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['DiseasePredictionBasedonSymptoms.joblib']"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"import joblib\n",
"\n",
"# Load the saved model\n",
"loaded_pipeline = joblib.load('DiseasePredictionBasedonSymptoms.joblib')\n",
"\n",
"# Make predictions using the loaded model (example)\n",
"sample_symptom = \"Skin Rash\"\n",
"processed_symptom = preprocess([sample_symptom])\n",
"prediction = loaded_pipeline.predict([processed_symptom])\n",
"\n",
"print(\"Predicted disease:\", prediction[0])\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JEuWqGV-mWew",
"outputId": "292c024d-e739-4c7a-c530-093edd85b08d"
},
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Predicted disease: Contact dermatitis\n"
]
}
]
}
]
} |