HC-85/flood-prediction

Name: HC-85/flood-prediction
Creator: HC-85
Published: 2024-06-12 21:28:39
License: 暂无描述

Hugging Face2024-06-12 更新2024-06-29 收录

下载链接：

https://hf-mirror.com/datasets/HC-85/flood-prediction

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官方服务：

资源简介：

--- dataset_info: config_name: openfe features: - name: MonsoonIntensity dtype: int64 - name: TopographyDrainage dtype: int64 - name: RiverManagement dtype: int64 - name: Deforestation dtype: int64 - name: Urbanization dtype: int64 - name: ClimateChange dtype: int64 - name: DamsQuality dtype: int64 - name: Siltation dtype: int64 - name: AgriculturalPractices dtype: int64 - name: Encroachments dtype: int64 - name: IneffectiveDisasterPreparedness dtype: int64 - name: DrainageSystems dtype: int64 - name: CoastalVulnerability dtype: int64 - name: Landslides dtype: int64 - name: Watersheds dtype: int64 - name: DeterioratingInfrastructure dtype: int64 - name: PopulationScore dtype: int64 - name: WetlandLoss dtype: int64 - name: InadequatePlanning dtype: int64 - name: PoliticalFactors dtype: int64 - name: autoFE_f_0 dtype: float64 - name: autoFE_f_1 dtype: float64 - name: autoFE_f_2 dtype: float64 - name: autoFE_f_3 dtype: float64 - name: autoFE_f_4 dtype: float64 - name: autoFE_f_5 dtype: float64 - name: autoFE_f_6 dtype: float64 - name: autoFE_f_7 dtype: float64 - name: autoFE_f_8 dtype: float64 - name: autoFE_f_9 dtype: float64 - name: autoFE_f_10 dtype: float64 - name: autoFE_f_11 dtype: float64 - name: autoFE_f_12 dtype: float64 - name: autoFE_f_13 dtype: float64 - name: autoFE_f_14 dtype: float64 - name: autoFE_f_15 dtype: float64 - name: autoFE_f_16 dtype: float64 - name: autoFE_f_17 dtype: float64 - name: autoFE_f_18 dtype: float64 - name: autoFE_f_19 dtype: float64 - name: autoFE_f_20 dtype: float64 - name: autoFE_f_21 dtype: float64 - name: autoFE_f_22 dtype: float64 - name: autoFE_f_23 dtype: float64 - name: autoFE_f_24 dtype: float64 - name: autoFE_f_25 dtype: float64 - name: autoFE_f_26 dtype: float64 - name: autoFE_f_27 dtype: float64 - name: autoFE_f_28 dtype: float64 - name: autoFE_f_29 dtype: float64 - name: autoFE_f_30 dtype: float64 - name: autoFE_f_31 dtype: float64 - name: autoFE_f_32 dtype: float64 - name: autoFE_f_33 dtype: float64 - name: autoFE_f_34 dtype: float64 - name: autoFE_f_35 dtype: float64 - name: autoFE_f_36 dtype: float64 - name: autoFE_f_37 dtype: float64 - name: autoFE_f_38 dtype: float64 - name: autoFE_f_39 dtype: float64 - name: autoFE_f_40 dtype: float64 - name: autoFE_f_41 dtype: float64 - name: autoFE_f_42 dtype: float64 - name: autoFE_f_43 dtype: float64 - name: autoFE_f_44 dtype: float64 - name: autoFE_f_45 dtype: float64 - name: autoFE_f_46 dtype: float64 - name: autoFE_f_47 dtype: float64 - name: autoFE_f_48 dtype: float64 - name: autoFE_f_49 dtype: float64 - name: autoFE_f_50 dtype: float64 - name: autoFE_f_51 dtype: float64 - name: autoFE_f_52 dtype: float64 - name: autoFE_f_53 dtype: float64 - name: autoFE_f_54 dtype: float64 - name: autoFE_f_55 dtype: float64 - name: autoFE_f_56 dtype: float64 - name: autoFE_f_57 dtype: float64 - name: autoFE_f_58 dtype: float64 - name: autoFE_f_59 dtype: float64 - name: autoFE_f_60 dtype: float64 - name: autoFE_f_61 dtype: float64 - name: autoFE_f_62 dtype: float64 - name: autoFE_f_63 dtype: float64 - name: autoFE_f_64 dtype: float64 - name: autoFE_f_65 dtype: float64 - name: autoFE_f_66 dtype: float64 - name: autoFE_f_67 dtype: float64 - name: autoFE_f_68 dtype: float64 - name: autoFE_f_69 dtype: float64 - name: autoFE_f_70 dtype: float64 - name: autoFE_f_71 dtype: float64 - name: autoFE_f_72 dtype: float64 - name: autoFE_f_73 dtype: float64 - name: autoFE_f_74 dtype: float64 - name: autoFE_f_75 dtype: float64 - name: autoFE_f_76 dtype: float64 - name: autoFE_f_77 dtype: float64 - name: autoFE_f_78 dtype: float64 - name: autoFE_f_79 dtype: float64 - name: autoFE_f_80 dtype: float64 - name: autoFE_f_81 dtype: float64 - name: autoFE_f_82 dtype: float64 - name: autoFE_f_83 dtype: float64 - name: autoFE_f_84 dtype: float64 - name: autoFE_f_85 dtype: float64 - name: autoFE_f_86 dtype: float64 - name: autoFE_f_87 dtype: float64 - name: autoFE_f_88 dtype: float64 - name: autoFE_f_89 dtype: float64 - name: autoFE_f_90 dtype: float64 - name: autoFE_f_91 dtype: float64 - name: autoFE_f_92 dtype: float64 - name: autoFE_f_93 dtype: float64 - name: autoFE_f_94 dtype: float64 - name: autoFE_f_95 dtype: float64 - name: autoFE_f_96 dtype: float64 - name: autoFE_f_97 dtype: float64 - name: autoFE_f_98 dtype: float64 - name: autoFE_f_99 dtype: float64 - name: autoFE_f_100 dtype: float64 - name: autoFE_f_101 dtype: float64 - name: autoFE_f_102 dtype: float64 - name: autoFE_f_103 dtype: float64 - name: autoFE_f_104 dtype: float64 - name: autoFE_f_105 dtype: float64 - name: autoFE_f_106 dtype: float64 - name: autoFE_f_107 dtype: float64 - name: autoFE_f_108 dtype: float64 - name: autoFE_f_109 dtype: float64 - name: autoFE_f_110 dtype: float64 - name: autoFE_f_111 dtype: float64 - name: autoFE_f_112 dtype: float64 - name: autoFE_f_113 dtype: float64 - name: autoFE_f_114 dtype: float64 - name: autoFE_f_115 dtype: float64 - name: autoFE_f_116 dtype: float64 - name: autoFE_f_117 dtype: float64 - name: autoFE_f_118 dtype: float64 - name: autoFE_f_119 dtype: float64 - name: autoFE_f_120 dtype: float64 - name: autoFE_f_121 dtype: float64 - name: autoFE_f_122 dtype: float64 - name: autoFE_f_123 dtype: float64 - name: autoFE_f_124 dtype: float64 - name: autoFE_f_125 dtype: float64 - name: autoFE_f_126 dtype: float64 - name: autoFE_f_127 dtype: float64 - name: autoFE_f_128 dtype: float64 - name: autoFE_f_129 dtype: float64 - name: autoFE_f_130 dtype: float64 - name: autoFE_f_131 dtype: float64 - name: autoFE_f_132 dtype: float64 - name: autoFE_f_133 dtype: float64 - name: autoFE_f_134 dtype: float64 - name: autoFE_f_135 dtype: float64 - name: autoFE_f_136 dtype: float64 - name: autoFE_f_137 dtype: float64 - name: autoFE_f_138 dtype: float64 - name: autoFE_f_139 dtype: float64 - name: autoFE_f_140 dtype: float64 - name: autoFE_f_141 dtype: float64 - name: autoFE_f_142 dtype: float64 - name: autoFE_f_143 dtype: float64 - name: autoFE_f_144 dtype: float64 - name: autoFE_f_145 dtype: float64 - name: autoFE_f_146 dtype: float64 - name: autoFE_f_147 dtype: float64 - name: autoFE_f_148 dtype: float64 - name: autoFE_f_149 dtype: float64 - name: autoFE_f_150 dtype: float64 - name: autoFE_f_151 dtype: float64 - name: autoFE_f_152 dtype: float64 - name: autoFE_f_153 dtype: float64 - name: autoFE_f_154 dtype: float64 - name: autoFE_f_155 dtype: float64 - name: autoFE_f_156 dtype: float64 - name: autoFE_f_157 dtype: float64 - name: autoFE_f_158 dtype: float64 - name: autoFE_f_159 dtype: float64 - name: autoFE_f_160 dtype: float64 - name: autoFE_f_161 dtype: float64 - name: autoFE_f_162 dtype: float64 - name: autoFE_f_163 dtype: float64 - name: autoFE_f_164 dtype: float64 - name: autoFE_f_165 dtype: float64 - name: autoFE_f_166 dtype: float64 - name: autoFE_f_167 dtype: float64 - name: autoFE_f_168 dtype: float64 - name: autoFE_f_169 dtype: float64 - name: autoFE_f_170 dtype: float64 - name: autoFE_f_171 dtype: float64 - name: autoFE_f_172 dtype: float64 - name: autoFE_f_173 dtype: float64 - name: autoFE_f_174 dtype: float64 - name: autoFE_f_175 dtype: float64 - name: autoFE_f_176 dtype: float64 - name: autoFE_f_177 dtype: float64 - name: autoFE_f_178 dtype: float64 - name: autoFE_f_179 dtype: float64 - name: autoFE_f_180 dtype: float64 - name: autoFE_f_181 dtype: float64 - name: autoFE_f_182 dtype: float64 - name: autoFE_f_183 dtype: float64 - name: autoFE_f_184 dtype: float64 - name: autoFE_f_185 dtype: float64 - name: autoFE_f_186 dtype: float64 - name: autoFE_f_187 dtype: float64 - name: autoFE_f_188 dtype: float64 - name: autoFE_f_189 dtype: float64 - name: autoFE_f_190 dtype: float64 - name: autoFE_f_191 dtype: float64 - name: autoFE_f_192 dtype: float64 - name: autoFE_f_193 dtype: float64 - name: autoFE_f_194 dtype: float64 - name: autoFE_f_195 dtype: float64 - name: autoFE_f_196 dtype: float64 - name: autoFE_f_197 dtype: float64 - name: autoFE_f_198 dtype: float64 - name: autoFE_f_199 dtype: float64 - name: autoFE_f_200 dtype: float64 - name: autoFE_f_201 dtype: float64 - name: autoFE_f_202 dtype: float64 - name: autoFE_f_203 dtype: float64 - name: autoFE_f_204 dtype: float64 - name: autoFE_f_205 dtype: float64 - name: autoFE_f_206 dtype: float64 - name: autoFE_f_207 dtype: float64 - name: autoFE_f_208 dtype: float64 - name: autoFE_f_209 dtype: float64 - name: autoFE_f_210 dtype: float64 - name: autoFE_f_211 dtype: float64 - name: autoFE_f_212 dtype: float64 - name: autoFE_f_213 dtype: float64 - name: autoFE_f_214 dtype: float64 - name: autoFE_f_215 dtype: float64 - name: autoFE_f_216 dtype: float64 - name: autoFE_f_217 dtype: float64 - name: autoFE_f_218 dtype: float64 - name: autoFE_f_219 dtype: float64 - name: autoFE_f_220 dtype: float64 - name: autoFE_f_221 dtype: float64 - name: autoFE_f_222 dtype: float64 - name: autoFE_f_223 dtype: float64 - name: autoFE_f_224 dtype: float64 - name: autoFE_f_225 dtype: float64 - name: autoFE_f_226 dtype: float64 - name: autoFE_f_227 dtype: float64 - name: autoFE_f_228 dtype: float64 - name: autoFE_f_229 dtype: float64 - name: autoFE_f_230 dtype: float64 - name: autoFE_f_231 dtype: float64 - name: autoFE_f_232 dtype: float64 - name: autoFE_f_233 dtype: float64 - name: autoFE_f_234 dtype: float64 - name: autoFE_f_235 dtype: float64 - name: autoFE_f_236 dtype: float64 - name: autoFE_f_237 dtype: float64 - name: autoFE_f_238 dtype: float64 - name: autoFE_f_239 dtype: float64 - name: autoFE_f_240 dtype: float64 - name: autoFE_f_241 dtype: float64 - name: autoFE_f_242 dtype: float64 - name: autoFE_f_243 dtype: float64 - name: autoFE_f_244 dtype: float64 - name: autoFE_f_245 dtype: float64 - name: autoFE_f_246 dtype: float64 - name: autoFE_f_247 dtype: float64 - name: autoFE_f_248 dtype: float64 - name: autoFE_f_249 dtype: float64 - name: autoFE_f_250 dtype: float64 - name: autoFE_f_251 dtype: float64 - name: autoFE_f_252 dtype: float64 - name: autoFE_f_253 dtype: float64 - name: autoFE_f_254 dtype: float64 - name: autoFE_f_255 dtype: float64 - name: autoFE_f_256 dtype: float64 - name: autoFE_f_257 dtype: float64 - name: autoFE_f_258 dtype: float64 - name: autoFE_f_259 dtype: float64 - name: autoFE_f_260 dtype: float64 - name: autoFE_f_261 dtype: float64 - name: autoFE_f_262 dtype: float64 - name: autoFE_f_263 dtype: float64 - name: autoFE_f_264 dtype: float64 - name: autoFE_f_265 dtype: float64 - name: autoFE_f_266 dtype: float64 - name: autoFE_f_267 dtype: float64 - name: autoFE_f_268 dtype: float64 - name: autoFE_f_269 dtype: float64 - name: autoFE_f_270 dtype: float64 - name: autoFE_f_271 dtype: float64 - name: autoFE_f_272 dtype: float64 - name: autoFE_f_273 dtype: float64 - name: autoFE_f_274 dtype: float64 - name: autoFE_f_275 dtype: float64 - name: autoFE_f_276 dtype: float64 - name: autoFE_f_277 dtype: float64 - name: autoFE_f_278 dtype: float64 - name: autoFE_f_279 dtype: float64 - name: autoFE_f_280 dtype: float64 - name: autoFE_f_281 dtype: float64 - name: autoFE_f_282 dtype: float64 - name: autoFE_f_283 dtype: float64 - name: autoFE_f_284 dtype: float64 - name: autoFE_f_285 dtype: float64 - name: autoFE_f_286 dtype: float64 - name: autoFE_f_287 dtype: float64 - name: autoFE_f_288 dtype: float64 - name: autoFE_f_289 dtype: float64 - name: autoFE_f_290 dtype: float64 - name: autoFE_f_291 dtype: float64 - name: autoFE_f_292 dtype: float64 - name: autoFE_f_293 dtype: float64 - name: autoFE_f_294 dtype: float64 - name: autoFE_f_295 dtype: float64 - name: autoFE_f_296 dtype: float64 - name: autoFE_f_297 dtype: float64 - name: autoFE_f_298 dtype: float64 - name: autoFE_f_299 dtype: float64 - name: autoFE_f_300 dtype: float64 - name: autoFE_f_301 dtype: float64 - name: autoFE_f_302 dtype: float64 - name: autoFE_f_303 dtype: float64 - name: autoFE_f_304 dtype: float64 - name: autoFE_f_305 dtype: float64 - name: autoFE_f_306 dtype: float64 - name: autoFE_f_307 dtype: float64 - name: autoFE_f_308 dtype: float64 - name: autoFE_f_309 dtype: float64 - name: autoFE_f_310 dtype: float64 - name: autoFE_f_311 dtype: float64 - name: autoFE_f_312 dtype: float64 - name: autoFE_f_313 dtype: float64 - name: autoFE_f_314 dtype: float64 - name: autoFE_f_315 dtype: float64 - name: autoFE_f_316 dtype: float64 - name: autoFE_f_317 dtype: float64 - name: autoFE_f_318 dtype: float64 - name: autoFE_f_319 dtype: float64 - name: autoFE_f_320 dtype: float64 - name: autoFE_f_321 dtype: float64 - name: autoFE_f_322 dtype: float64 - name: autoFE_f_323 dtype: float64 - name: autoFE_f_324 dtype: float64 - name: autoFE_f_325 dtype: float64 - name: autoFE_f_326 dtype: float64 - name: autoFE_f_327 dtype: float64 - name: autoFE_f_328 dtype: float64 - name: autoFE_f_329 dtype: float64 - name: autoFE_f_330 dtype: float64 - name: autoFE_f_331 dtype: float64 - name: autoFE_f_332 dtype: float64 - name: autoFE_f_333 dtype: float64 - name: autoFE_f_334 dtype: float64 - name: autoFE_f_335 dtype: float64 - name: autoFE_f_336 dtype: float64 - name: autoFE_f_337 dtype: float64 - name: autoFE_f_338 dtype: float64 - name: autoFE_f_339 dtype: float64 - name: autoFE_f_340 dtype: float64 - name: autoFE_f_341 dtype: float64 - name: autoFE_f_342 dtype: float64 - name: autoFE_f_343 dtype: float64 - name: autoFE_f_344 dtype: float64 - name: autoFE_f_345 dtype: float64 - name: autoFE_f_346 dtype: float64 - name: autoFE_f_347 dtype: float64 - name: autoFE_f_348 dtype: float64 - name: autoFE_f_349 dtype: float64 - name: autoFE_f_350 dtype: float64 - name: autoFE_f_351 dtype: float64 - name: autoFE_f_352 dtype: float64 - name: autoFE_f_353 dtype: float64 - name: autoFE_f_354 dtype: float64 - name: autoFE_f_355 dtype: float64 - name: autoFE_f_356 dtype: float64 - name: autoFE_f_357 dtype: float64 - name: autoFE_f_358 dtype: float64 - name: autoFE_f_359 dtype: float64 - name: autoFE_f_360 dtype: float64 - name: autoFE_f_361 dtype: float64 - name: autoFE_f_362 dtype: float64 - name: autoFE_f_363 dtype: float64 - name: autoFE_f_364 dtype: float64 - name: autoFE_f_365 dtype: float64 - name: autoFE_f_366 dtype: float64 - name: autoFE_f_367 dtype: float64 - name: autoFE_f_368 dtype: float64 - name: autoFE_f_369 dtype: float64 - name: autoFE_f_370 dtype: float64 - name: autoFE_f_371 dtype: float64 - name: autoFE_f_372 dtype: float64 - name: autoFE_f_373 dtype: float64 - name: autoFE_f_374 dtype: float64 - name: autoFE_f_375 dtype: float64 - name: autoFE_f_376 dtype: float64 - name: autoFE_f_377 dtype: float64 - name: autoFE_f_378 dtype: float64 - name: autoFE_f_379 dtype: float64 - name: autoFE_f_380 dtype: float64 - name: autoFE_f_381 dtype: float64 - name: autoFE_f_382 dtype: float64 - name: autoFE_f_383 dtype: float64 - name: autoFE_f_384 dtype: float64 - name: autoFE_f_385 dtype: float64 - name: autoFE_f_386 dtype: float64 - name: autoFE_f_387 dtype: float64 - name: autoFE_f_388 dtype: float64 - name: autoFE_f_389 dtype: float64 - name: autoFE_f_390 dtype: float64 - name: autoFE_f_391 dtype: float64 - name: autoFE_f_392 dtype: float64 - name: autoFE_f_393 dtype: float64 - name: autoFE_f_394 dtype: float64 - name: autoFE_f_395 dtype: float64 - name: autoFE_f_396 dtype: float64 - name: autoFE_f_397 dtype: float64 - name: autoFE_f_398 dtype: float64 - name: autoFE_f_399 dtype: float64 - name: autoFE_f_400 dtype: float64 - name: autoFE_f_401 dtype: float64 - name: autoFE_f_402 dtype: float64 - name: autoFE_f_403 dtype: float64 - name: autoFE_f_404 dtype: float64 - name: autoFE_f_405 dtype: float64 - name: autoFE_f_406 dtype: float64 - name: autoFE_f_407 dtype: float64 - name: autoFE_f_408 dtype: float64 - name: autoFE_f_409 dtype: float64 - name: autoFE_f_410 dtype: float64 - name: autoFE_f_411 dtype: float64 - name: autoFE_f_412 dtype: float64 - name: autoFE_f_413 dtype: float64 - name: autoFE_f_414 dtype: float64 - name: autoFE_f_415 dtype: float64 - name: autoFE_f_416 dtype: float64 - name: autoFE_f_417 dtype: float64 - name: autoFE_f_418 dtype: float64 - name: autoFE_f_419 dtype: float64 - name: autoFE_f_420 dtype: float64 - name: autoFE_f_421 dtype: float64 - name: autoFE_f_422 dtype: float64 - name: autoFE_f_423 dtype: float64 - name: autoFE_f_424 dtype: float64 - name: autoFE_f_425 dtype: float64 - name: autoFE_f_426 dtype: float64 - name: autoFE_f_427 dtype: float64 - name: autoFE_f_428 dtype: float64 - name: autoFE_f_429 dtype: float64 - name: autoFE_f_430 dtype: float64 - name: autoFE_f_431 dtype: float64 - name: autoFE_f_432 dtype: float64 - name: autoFE_f_433 dtype: float64 - name: autoFE_f_434 dtype: float64 - name: autoFE_f_435 dtype: float64 - name: autoFE_f_436 dtype: float64 - name: autoFE_f_437 dtype: float64 - name: autoFE_f_438 dtype: float64 - name: autoFE_f_439 dtype: float64 - name: autoFE_f_440 dtype: float64 - name: autoFE_f_441 dtype: float64 - name: autoFE_f_442 dtype: float64 - name: autoFE_f_443 dtype: float64 - name: autoFE_f_444 dtype: float64 - name: autoFE_f_445 dtype: float64 - name: autoFE_f_446 dtype: float64 - name: autoFE_f_447 dtype: float64 - name: autoFE_f_448 dtype: float64 - name: autoFE_f_449 dtype: float64 - name: autoFE_f_450 dtype: float64 splits: - name: test num_bytes: 2810358848 num_examples: 745305 - name: train num_bytes: 4278284226 num_examples: 1117957 download_size: 910975792 dataset_size: 4918128926 configs: - config_name: openfe data_files: - split: test path: openfe/test-* - split: train path: openfe/train-*/train-* ---

The dataset named openfe includes a variety of features related to environmental and socio-economic factors, such as MonsoonIntensity, TopographyDrainage, and Urbanization, among others. Each feature is specified with a data type, mostly int64 and float64. The dataset is divided into test and train splits with details on the number of examples and bytes. Additionally, the download and dataset sizes are provided.

提供机构：

HC-85

原始信息汇总

数据集概述

数据集名称

openfe

特征信息

数据集包含以下特征：

MonsoonIntensity: int64
TopographyDrainage: int64
RiverManagement: int64
Deforestation: int64
Urbanization: int64
ClimateChange: int64
DamsQuality: int64
Siltation: int64
AgriculturalPractices: int64
Encroachments: int64
IneffectiveDisasterPreparedness: int64
DrainageSystems: int64
CoastalVulnerability: int64
Landslides: int64
Watersheds: int64
DeterioratingInfrastructure: int64
PopulationScore: int64
WetlandLoss: int64
InadequatePlanning: int64
PoliticalFactors: int64
autoFE_f_0: float64
autoFE_f_1: float64
autoFE_f_2: float64
autoFE_f_3: float64
autoFE_f_4: float64
autoFE_f_5: float64
autoFE_f_6: float64
autoFE_f_7: float64
autoFE_f_8: float64
autoFE_f_9: float64
autoFE_f_10: float64
autoFE_f_11: float64
autoFE_f_12: float64
autoFE_f_13: float64
autoFE_f_14: float64
autoFE_f_15: float64
autoFE_f_16: float64
autoFE_f_17: float64
autoFE_f_18: float64
autoFE_f_19: float64
autoFE_f_20: float64
autoFE_f_21: float64
autoFE_f_22: float64
autoFE_f_23: float64
autoFE_f_24: float64
autoFE_f_25: float64
autoFE_f_26: float64
autoFE_f_27: float64
autoFE_f_28: float64
autoFE_f_29: float64
autoFE_f_30: float64
autoFE_f_31: float64
autoFE_f_32: float64
autoFE_f_33: float64
autoFE_f_34: float64
autoFE_f_35: float64
autoFE_f_36: float64
autoFE_f_37: float64
autoFE_f_38: float64
autoFE_f_39: float64
autoFE_f_40: float64
autoFE_f_41: float64
autoFE_f_42: float64
autoFE_f_43: float64
autoFE_f_44: float64
autoFE_f_45: float64
autoFE_f_46: float64
autoFE_f_47: float64
autoFE_f_48: float64
autoFE_f_49: float64
autoFE_f_50: float64
autoFE_f_51: float64
autoFE_f_52: float64
autoFE_f_53: float64
autoFE_f_54: float64
autoFE_f_55: float64
autoFE_f_56: float64
autoFE_f_57: float64
autoFE_f_58: float64
autoFE_f_59: float64
autoFE_f_60: float64
autoFE_f_61: float64
autoFE_f_62: float64
autoFE_f_63: float64
autoFE_f_64: float64
autoFE_f_65: float64
autoFE_f_66: float64
autoFE_f_67: float64
autoFE_f_68: float64
autoFE_f_69: float64
autoFE_f_70: float64
autoFE_f_71: float64
autoFE_f_72: float64
autoFE_f_73: float64
autoFE_f_74: float64
autoFE_f_75: float64
autoFE_f_76: float64
autoFE_f_77: float64
autoFE_f_78: float64
autoFE_f_79: float64
autoFE_f_80: float64
autoFE_f_81: float64
autoFE_f_82: float64
autoFE_f_83: float64
autoFE_f_84: float64
autoFE_f_85: float64
autoFE_f_86: float64
autoFE_f_87: float64
autoFE_f_88: float64
autoFE_f_89: float64
autoFE_f_90: float64
autoFE_f_91: float64
autoFE_f_92: float64
autoFE_f_93: float64
autoFE_f_94: float64
autoFE_f_95: float64
autoFE_f_96: float64
autoFE_f_97: float64
autoFE_f_98: float64
autoFE_f_99: float64
autoFE_f_100: float64
autoFE_f_101: float64
autoFE_f_102: float64
autoFE_f_103: float64
autoFE_f_104: float64
autoFE_f_105: float64
autoFE_f_106: float64
autoFE_f_107: float64
autoFE_f_108: float64
autoFE_f_109: float64
autoFE_f_110: float64
autoFE_f_111: float64
autoFE_f_112: float64
autoFE_f_113: float64
autoFE_f_114: float64
autoFE_f_115: float64
autoFE_f_116: float64
autoFE_f_117: float64
autoFE_f_118: float64
autoFE_f_119: float64
autoFE_f_120: float64
autoFE_f_121: float64
autoFE_f_122: float64
autoFE_f_123: float64
autoFE_f_124: float64
autoFE_f_125: float64
autoFE_f_126: float64
autoFE_f_127: float64
autoFE_f_128: float64
autoFE_f_129: float64
autoFE_f_130: float64
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搜集汇总

数据集介绍

构建方式

HC-85/flood-prediction数据集的构建旨在通过集成多源数据，为洪水预测提供丰富的特征集。该数据集包含了从自然地理到社会经济等多个维度的信息，如季风强度、地形排水情况、河流管理、森林砍伐、城市化、气候变化、大坝质量、泥沙淤积、农业实践、侵占、无效的灾害准备、排水系统、沿海脆弱性、滑坡、流域、基础设施恶化、人口密度、湿地损失、规划不足、政治因素等。此外，数据集中还包含了由自动特征工程生成的多个衍生特征，以增强模型的预测能力。

使用方法

使用HC-85/flood-prediction数据集进行洪水预测时，首先需要将数据集下载并加载到本地环境。然后，可以根据研究需要选择训练集和测试集。数据集包含了丰富的特征，可以使用特征选择技术来选择对预测任务最有影响的特征。最后，可以使用机器学习模型对数据进行训练，并使用测试集来评估模型的性能。在模型的训练和评估过程中，可以利用数据集的多样性和全面性来提高模型的预测精度和泛化能力。

背景与挑战

背景概述

洪水预测是自然灾害管理中的关键领域，对于保障人民生命财产安全至关重要。HC-85/flood-prediction数据集正是为了应对这一挑战而创建的。该数据集由HC-85团队开发，包含了一系列与洪水预测相关的特征，如季风强度、地形排水情况、河流管理、森林砍伐、城市化进程、气候变化、大坝质量、泥沙淤积、农业实践、侵占、无效的灾害预防措施、排水系统、海岸线脆弱性、滑坡、流域、基础设施退化、人口密度、湿地丧失、规划不足、政治因素等。这些特征的引入旨在提供一个全面的数据集，以支持洪水预测模型的研究和开发。

当前挑战

尽管HC-85/flood-prediction数据集提供了丰富的特征，但仍然存在一些挑战。首先，数据集的构建过程中可能面临数据收集的困难，特别是对于一些难以量化的特征，如政治因素和无效的灾害预防措施。其次，由于数据集的复杂性，如何有效地处理和整合这些特征以构建高精度的洪水预测模型，是一个亟待解决的问题。此外，由于洪水预测涉及到多种自然和社会经济因素，因此模型的泛化能力也是一个重要挑战。最后，随着气候变化和人类活动的影响，洪水预测模型需要不断更新以适应新的环境和条件。

常用场景

经典使用场景

洪水预测作为一项重要的自然灾害风险管理任务，对于减少洪水带来的损失和保护人民生命财产安全具有重要意义。HC-85/flood-prediction数据集提供了丰富的洪水相关特征，包括季风强度、地形排水、河流管理、森林砍伐、城市化和气候变化等，为洪水预测研究提供了详实的数据基础。

解决学术问题

HC-85/flood-prediction数据集的建立，为洪水预测研究提供了一种新的数据来源，有助于解决洪水预测模型训练数据不足的问题。此外，该数据集的丰富特征，有助于研究人员探索和发现洪水预测的新因素，从而提高洪水预测的准确性和可靠性。

实际应用

HC-85/flood-prediction数据集的实际应用场景广泛，包括但不限于洪水预测模型的训练和验证、洪水风险评估、洪水应急预案的制定等。此外，该数据集还可以用于洪水相关的研究和教学，为洪水预测领域的研究人员和学生提供宝贵的数据资源。

数据集最近研究