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Author: Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown. Source: [Mulan](http://mulan.sourceforge.net/datasets-mlc.html) Please cite: ### Description Scene recognition dataset - It contains characteristics about images and their classes. The original dataset is a multi-label classification problem with 6 different labels: {Beach, Sunset, FallFoliage, Field, Mountain, Urban}. The current dataset is a binary classification problem considering just the 'Urban' label. ### Sources Matthew R. Boutell, Jiebo Luo, Xipeng Shen, and Christopher M. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004. ### Dataset Information Multi-label classification problem, based on real-world images. Instances: 2407 Features: 294 numerical features with values between [0,1] Classes/Labels: 2 {Urban, Nor Urban} No missing values

300 features

Urban (target)nominal2 unique values
0 missing
attr1numeric2349 unique values
0 missing
attr2numeric2346 unique values
0 missing
attr3numeric2354 unique values
0 missing
attr4numeric2343 unique values
0 missing
attr5numeric2346 unique values
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attr6numeric2346 unique values
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attr7numeric2345 unique values
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attr8numeric2349 unique values
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attr9numeric2369 unique values
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attr10numeric2361 unique values
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attr11numeric2363 unique values
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attr12numeric2372 unique values
0 missing
attr13numeric2370 unique values
0 missing
attr14numeric2365 unique values
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attr15numeric2370 unique values
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attr16numeric2378 unique values
0 missing
attr17numeric2382 unique values
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attr18numeric2379 unique values
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attr19numeric2381 unique values
0 missing
attr20numeric2380 unique values
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attr21numeric2371 unique values
0 missing
attr22numeric2367 unique values
0 missing
attr23numeric2375 unique values
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attr24numeric2383 unique values
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attr25numeric2385 unique values
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attr26numeric2383 unique values
0 missing
attr27numeric2381 unique values
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attr28numeric2366 unique values
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attr29numeric2360 unique values
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attr30numeric2378 unique values
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attr31numeric2380 unique values
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attr32numeric2385 unique values
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attr33numeric2380 unique values
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attr34numeric2362 unique values
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attr35numeric2351 unique values
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attr36numeric2336 unique values
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attr37numeric2356 unique values
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attr38numeric2367 unique values
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attr39numeric2374 unique values
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attr40numeric2366 unique values
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attr41numeric2350 unique values
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attr42numeric2333 unique values
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attr43numeric2280 unique values
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attr44numeric2307 unique values
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attr45numeric2327 unique values
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attr46numeric2324 unique values
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attr47numeric2319 unique values
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attr48numeric2301 unique values
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attr49numeric2277 unique values
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attr50numeric2278 unique values
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attr51numeric2241 unique values
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attr52numeric2243 unique values
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attr53numeric2258 unique values
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attr54numeric2255 unique values
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attr55numeric2249 unique values
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attr56numeric2277 unique values
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attr57numeric2317 unique values
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attr58numeric2330 unique values
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attr59numeric2334 unique values
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attr60numeric2322 unique values
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attr61numeric2333 unique values
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attr62numeric2326 unique values
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attr63numeric2311 unique values
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attr64numeric2359 unique values
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attr65numeric2362 unique values
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attr66numeric2357 unique values
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attr67numeric2366 unique values
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attr68numeric2357 unique values
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attr69numeric2360 unique values
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attr70numeric2350 unique values
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attr71numeric2350 unique values
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attr72numeric2361 unique values
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attr73numeric2371 unique values
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attr74numeric2373 unique values
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attr75numeric2373 unique values
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attr76numeric2364 unique values
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attr77numeric2361 unique values
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attr78numeric2365 unique values
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attr79numeric2358 unique values
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attr80numeric2368 unique values
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attr81numeric2362 unique values
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attr82numeric2369 unique values
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attr83numeric2352 unique values
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attr84numeric2370 unique values
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attr85numeric2354 unique values
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attr86numeric2348 unique values
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attr87numeric2352 unique values
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attr88numeric2354 unique values
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attr89numeric2356 unique values
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attr90numeric2348 unique values
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attr91numeric2353 unique values
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attr92numeric2326 unique values
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attr93numeric2334 unique values
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attr94numeric2345 unique values
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attr95numeric2342 unique values
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attr96numeric2343 unique values
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attr97numeric2338 unique values
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attr98numeric2322 unique values
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attr99numeric2198 unique values
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attr100numeric2210 unique values
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attr101numeric2225 unique values
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attr102numeric2217 unique values
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attr103numeric2213 unique values
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attr104numeric2221 unique values
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attr105numeric2219 unique values
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attr106numeric2256 unique values
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attr107numeric2276 unique values
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attr108numeric2274 unique values
0 missing
attr109numeric2264 unique values
0 missing
attr110numeric2270 unique values
0 missing
attr111numeric2273 unique values
0 missing
attr112numeric2267 unique values
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attr113numeric2294 unique values
0 missing
attr114numeric2305 unique values
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attr115numeric2305 unique values
0 missing
attr116numeric2317 unique values
0 missing
attr117numeric2300 unique values
0 missing
attr118numeric2311 unique values
0 missing
attr119numeric2288 unique values
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attr120numeric2311 unique values
0 missing
attr121numeric2317 unique values
0 missing
attr122numeric2312 unique values
0 missing
attr123numeric2324 unique values
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attr124numeric2308 unique values
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attr125numeric2315 unique values
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attr126numeric2307 unique values
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attr127numeric2322 unique values
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attr128numeric2327 unique values
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attr129numeric2329 unique values
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attr130numeric2325 unique values
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attr131numeric2328 unique values
0 missing
attr132numeric2324 unique values
0 missing
attr133numeric2329 unique values
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attr134numeric2343 unique values
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attr135numeric2342 unique values
0 missing
attr136numeric2338 unique values
0 missing
attr137numeric2317 unique values
0 missing
attr138numeric2329 unique values
0 missing
attr139numeric2329 unique values
0 missing
attr140numeric2337 unique values
0 missing
attr141numeric2316 unique values
0 missing
attr142numeric2329 unique values
0 missing
attr143numeric2331 unique values
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attr144numeric2313 unique values
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attr145numeric2324 unique values
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attr146numeric2328 unique values
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attr147numeric2304 unique values
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attr148numeric2150 unique values
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attr149numeric2127 unique values
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attr150numeric2135 unique values
0 missing
attr151numeric2100 unique values
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attr152numeric2106 unique values
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attr153numeric2123 unique values
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attr154numeric2179 unique values
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attr155numeric2255 unique values
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attr156numeric2271 unique values
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attr157numeric2265 unique values
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attr158numeric2292 unique values
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attr159numeric2265 unique values
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attr160numeric2287 unique values
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attr161numeric2252 unique values
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attr162numeric2309 unique values
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attr163numeric2335 unique values
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attr164numeric2330 unique values
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attr165numeric2320 unique values
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attr166numeric2329 unique values
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attr167numeric2323 unique values
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attr168numeric2329 unique values
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attr169numeric2337 unique values
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attr170numeric2326 unique values
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attr171numeric2353 unique values
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attr172numeric2336 unique values
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attr173numeric2342 unique values
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attr174numeric2342 unique values
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attr175numeric2324 unique values
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attr176numeric2342 unique values
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attr177numeric2348 unique values
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attr178numeric2336 unique values
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attr179numeric2338 unique values
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attr180numeric2346 unique values
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attr181numeric2344 unique values
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attr182numeric2339 unique values
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attr183numeric2321 unique values
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attr184numeric2339 unique values
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attr185numeric2332 unique values
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attr186numeric2338 unique values
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attr187numeric2343 unique values
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attr188numeric2323 unique values
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attr189numeric2329 unique values
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attr190numeric2293 unique values
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attr191numeric2309 unique values
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attr192numeric2292 unique values
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attr193numeric2294 unique values
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attr194numeric2301 unique values
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attr195numeric2294 unique values
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attr196numeric2273 unique values
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attr197numeric2103 unique values
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attr198numeric2096 unique values
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attr199numeric2098 unique values
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attr200numeric2115 unique values
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attr201numeric2092 unique values
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attr202numeric2089 unique values
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attr203numeric2100 unique values
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attr204numeric2200 unique values
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attr205numeric2191 unique values
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attr206numeric2196 unique values
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attr207numeric2201 unique values
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attr208numeric2206 unique values
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attr209numeric2210 unique values
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attr211numeric2245 unique values
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attr215numeric2255 unique values
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attr216numeric2248 unique values
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attr217numeric2251 unique values
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attr218numeric2269 unique values
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attr219numeric2277 unique values
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attr220numeric2274 unique values
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attr221numeric2275 unique values
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attr222numeric2280 unique values
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attr223numeric2288 unique values
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attr224numeric2266 unique values
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attr225numeric2277 unique values
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attr226numeric2281 unique values
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attr227numeric2278 unique values
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attr228numeric2275 unique values
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attr229numeric2273 unique values
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attr230numeric2270 unique values
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attr231numeric2280 unique values
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attr232numeric2268 unique values
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attr233numeric2256 unique values
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attr234numeric2271 unique values
0 missing
attr235numeric2247 unique values
0 missing
attr236numeric2241 unique values
0 missing
attr237numeric2260 unique values
0 missing
attr238numeric2263 unique values
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attr239numeric2232 unique values
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attr240numeric2234 unique values
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attr241numeric2240 unique values
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attr242numeric2241 unique values
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attr243numeric2236 unique values
0 missing
attr244numeric2233 unique values
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attr245numeric2236 unique values
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attr246numeric2327 unique values
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attr247numeric2312 unique values
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attr248numeric2293 unique values
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attr249numeric2284 unique values
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attr250numeric2294 unique values
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attr251numeric2297 unique values
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attr252numeric2307 unique values
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attr253numeric2333 unique values
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attr254numeric2330 unique values
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attr255numeric2342 unique values
0 missing
attr256numeric2333 unique values
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attr257numeric2340 unique values
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attr258numeric2336 unique values
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attr259numeric2344 unique values
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attr260numeric2347 unique values
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attr261numeric2358 unique values
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attr262numeric2352 unique values
0 missing
attr263numeric2343 unique values
0 missing
attr264numeric2343 unique values
0 missing
attr265numeric2345 unique values
0 missing
attr266numeric2353 unique values
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attr267numeric2344 unique values
0 missing
attr268numeric2338 unique values
0 missing
attr269numeric2347 unique values
0 missing
attr270numeric2341 unique values
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attr271numeric2331 unique values
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attr272numeric2342 unique values
0 missing
attr273numeric2349 unique values
0 missing
attr274numeric2361 unique values
0 missing
attr275numeric2354 unique values
0 missing
attr276numeric2347 unique values
0 missing
attr277numeric2359 unique values
0 missing
attr278numeric2356 unique values
0 missing
attr279numeric2366 unique values
0 missing
attr280numeric2356 unique values
0 missing
attr281numeric2364 unique values
0 missing
attr282numeric2361 unique values
0 missing
attr283numeric2358 unique values
0 missing
attr284numeric2361 unique values
0 missing
attr285numeric2370 unique values
0 missing
attr286numeric2366 unique values
0 missing
attr287numeric2357 unique values
0 missing
attr288numeric2347 unique values
0 missing
attr289numeric2354 unique values
0 missing
attr290numeric2357 unique values
0 missing
attr291numeric2346 unique values
0 missing
attr292numeric2368 unique values
0 missing
attr293numeric2359 unique values
0 missing
attr294numeric2354 unique values
0 missing
Beachnominal2 unique values
0 missing
Sunsetnominal2 unique values
0 missing
FallFoliagenominal2 unique values
0 missing
Fieldnominal2 unique values
0 missing
Mountainnominal2 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
2407
Number of instances (rows) of the dataset.
NumberOfFeatures
300
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
294
Number of numeric attributes.
NumberOfSymbolicFeatures
6
Number of nominal attributes.
AutoCorrelation
0.98
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
0.08
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
0.08
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
0.08
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
0.68
Entropy of the target attribute values.
DecisionStumpAUC
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.18
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.12
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
14.43
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
82.09
Percentage of instances belonging to the most frequent class.
MajorityClassSize
1976
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0.76
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
76.68
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.72
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.07
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
7.31
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.26
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.68
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
8.19
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.31
Mean of means among attributes of the numeric type.
MeanMutualInformation
0.05
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
13.37
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
1.69
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.18
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.61
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-0.75
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.03
Minimum of means among attributes of the numeric type.
MinMutualInformation
0.02
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.85
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.07
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
17.91
Percentage of instances belonging to the least frequent class.
MinorityClassSize
431
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.31
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
6
Number of binary attributes.
PercentageOfBinaryFeatures
2
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
98
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
2
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.63
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
0.26
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.13
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0.03
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
0.05
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.16
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.67
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
2.39
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.27
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.05
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
1.34
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.72
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
6.96
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.51
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.06
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
2.45
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.21
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.08
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

26 tasks

Supervised Classification on scene
87577 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Urban
Supervised Classification on scene
1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: Urban
Supervised Classification on scene
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Urban
Supervised Classification on scene
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Urban
Learning Curve on scene
45 runs - estimation_procedure: 10-fold Learning Curve - target_feature: Urban
Supervised Data Stream Classification on scene
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Urban
Clustering on scene
0 runs - target_feature: Urban
Clustering on scene
0 runs
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Clustering on scene
0 runs - estimation_procedure: 50 times Clustering
Subgroup Discovery on scene
1312 runs - target_feature: Urban
Subgroup Discovery on scene
1307 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
Subgroup Discovery on scene
0 runs - target_feature: Urban
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