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  • multi_label mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_34 study_7
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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
attr257numeric2340 unique values
0 missing
attr2numeric2346 unique values
0 missing
attr258numeric2336 unique values
0 missing
attr3numeric2354 unique values
0 missing
attr259numeric2344 unique values
0 missing
attr4numeric2343 unique values
0 missing
attr260numeric2347 unique values
0 missing
attr5numeric2346 unique values
0 missing
attr261numeric2358 unique values
0 missing
attr6numeric2346 unique values
0 missing
attr262numeric2352 unique values
0 missing
attr7numeric2345 unique values
0 missing
attr263numeric2343 unique values
0 missing
attr8numeric2349 unique values
0 missing
attr264numeric2343 unique values
0 missing
attr9numeric2369 unique values
0 missing
attr265numeric2345 unique values
0 missing
attr10numeric2361 unique values
0 missing
attr266numeric2353 unique values
0 missing
attr11numeric2363 unique values
0 missing
attr267numeric2344 unique values
0 missing
attr12numeric2372 unique values
0 missing
attr268numeric2338 unique values
0 missing
attr13numeric2370 unique values
0 missing
attr269numeric2347 unique values
0 missing
attr14numeric2365 unique values
0 missing
attr270numeric2341 unique values
0 missing
attr15numeric2370 unique values
0 missing
attr271numeric2331 unique values
0 missing
attr16numeric2378 unique values
0 missing
attr272numeric2342 unique values
0 missing
attr17numeric2382 unique values
0 missing
attr273numeric2349 unique values
0 missing
attr18numeric2379 unique values
0 missing
attr274numeric2361 unique values
0 missing
attr19numeric2381 unique values
0 missing
attr275numeric2354 unique values
0 missing
attr20numeric2380 unique values
0 missing
attr276numeric2347 unique values
0 missing
attr21numeric2371 unique values
0 missing
attr277numeric2359 unique values
0 missing
attr22numeric2367 unique values
0 missing
attr278numeric2356 unique values
0 missing
attr23numeric2375 unique values
0 missing
attr279numeric2366 unique values
0 missing
attr24numeric2383 unique values
0 missing
attr280numeric2356 unique values
0 missing
attr25numeric2385 unique values
0 missing
attr281numeric2364 unique values
0 missing
attr26numeric2383 unique values
0 missing
attr282numeric2361 unique values
0 missing
attr27numeric2381 unique values
0 missing
attr283numeric2358 unique values
0 missing
attr28numeric2366 unique values
0 missing
attr284numeric2361 unique values
0 missing
attr29numeric2360 unique values
0 missing
attr285numeric2370 unique values
0 missing
attr30numeric2378 unique values
0 missing
attr286numeric2366 unique values
0 missing
attr31numeric2380 unique values
0 missing
attr287numeric2357 unique values
0 missing
attr32numeric2385 unique values
0 missing
attr288numeric2347 unique values
0 missing
attr33numeric2380 unique values
0 missing
attr289numeric2354 unique values
0 missing
attr34numeric2362 unique values
0 missing
attr290numeric2357 unique values
0 missing
attr35numeric2351 unique values
0 missing
attr291numeric2346 unique values
0 missing
attr36numeric2336 unique values
0 missing
attr292numeric2368 unique values
0 missing
attr37numeric2356 unique values
0 missing
attr293numeric2359 unique values
0 missing
attr38numeric2367 unique values
0 missing
attr294numeric2354 unique values
0 missing
attr39numeric2374 unique values
0 missing
Beachnominal2 unique values
0 missing
attr40numeric2366 unique values
0 missing
Sunsetnominal2 unique values
0 missing
attr41numeric2350 unique values
0 missing
FallFoliagenominal2 unique values
0 missing
attr42numeric2333 unique values
0 missing
Fieldnominal2 unique values
0 missing
attr43numeric2280 unique values
0 missing
Mountainnominal2 unique values
0 missing
attr44numeric2307 unique values
0 missing
attr45numeric2327 unique values
0 missing
attr46numeric2324 unique values
0 missing
attr47numeric2319 unique values
0 missing
attr48numeric2301 unique values
0 missing
attr49numeric2277 unique values
0 missing
attr50numeric2278 unique values
0 missing
attr51numeric2241 unique values
0 missing
attr52numeric2243 unique values
0 missing
attr53numeric2258 unique values
0 missing
attr54numeric2255 unique values
0 missing
attr55numeric2249 unique values
0 missing
attr56numeric2277 unique values
0 missing
attr57numeric2317 unique values
0 missing
attr58numeric2330 unique values
0 missing
attr59numeric2334 unique values
0 missing
attr60numeric2322 unique values
0 missing
attr61numeric2333 unique values
0 missing
attr62numeric2326 unique values
0 missing
attr63numeric2311 unique values
0 missing
attr64numeric2359 unique values
0 missing
attr65numeric2362 unique values
0 missing
attr66numeric2357 unique values
0 missing
attr67numeric2366 unique values
0 missing
attr68numeric2357 unique values
0 missing
attr69numeric2360 unique values
0 missing
attr70numeric2350 unique values
0 missing
attr71numeric2350 unique values
0 missing
attr72numeric2361 unique values
0 missing
attr73numeric2371 unique values
0 missing
attr74numeric2373 unique values
0 missing
attr75numeric2373 unique values
0 missing
attr76numeric2364 unique values
0 missing
attr77numeric2361 unique values
0 missing
attr78numeric2365 unique values
0 missing
attr79numeric2358 unique values
0 missing
attr80numeric2368 unique values
0 missing
attr81numeric2362 unique values
0 missing
attr82numeric2369 unique values
0 missing
attr83numeric2352 unique values
0 missing
attr84numeric2370 unique values
0 missing
attr85numeric2354 unique values
0 missing
attr86numeric2348 unique values
0 missing
attr87numeric2352 unique values
0 missing
attr88numeric2354 unique values
0 missing
attr89numeric2356 unique values
0 missing
attr90numeric2348 unique values
0 missing
attr91numeric2353 unique values
0 missing
attr92numeric2326 unique values
0 missing
attr93numeric2334 unique values
0 missing
attr94numeric2345 unique values
0 missing
attr95numeric2342 unique values
0 missing
attr96numeric2343 unique values
0 missing
attr97numeric2338 unique values
0 missing
attr98numeric2322 unique values
0 missing
attr99numeric2198 unique values
0 missing
attr100numeric2210 unique values
0 missing
attr101numeric2225 unique values
0 missing
attr102numeric2217 unique values
0 missing
attr103numeric2213 unique values
0 missing
attr104numeric2221 unique values
0 missing
attr105numeric2219 unique values
0 missing
attr106numeric2256 unique values
0 missing
attr107numeric2276 unique values
0 missing
attr108numeric2274 unique values
0 missing
attr109numeric2264 unique values
0 missing
attr110numeric2270 unique values
0 missing
attr111numeric2273 unique values
0 missing
attr112numeric2267 unique values
0 missing
attr113numeric2294 unique values
0 missing
attr114numeric2305 unique values
0 missing
attr115numeric2305 unique values
0 missing
attr116numeric2317 unique values
0 missing
attr117numeric2300 unique values
0 missing
attr118numeric2311 unique values
0 missing
attr119numeric2288 unique values
0 missing
attr120numeric2311 unique values
0 missing
attr121numeric2317 unique values
0 missing
attr122numeric2312 unique values
0 missing
attr123numeric2324 unique values
0 missing
attr124numeric2308 unique values
0 missing
attr125numeric2315 unique values
0 missing
attr126numeric2307 unique values
0 missing
attr127numeric2322 unique values
0 missing
attr128numeric2327 unique values
0 missing
attr129numeric2329 unique values
0 missing
attr130numeric2325 unique values
0 missing
attr131numeric2328 unique values
0 missing
attr132numeric2324 unique values
0 missing
attr133numeric2329 unique values
0 missing
attr134numeric2343 unique values
0 missing
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
0 missing
attr144numeric2313 unique values
0 missing
attr145numeric2324 unique values
0 missing
attr146numeric2328 unique values
0 missing
attr147numeric2304 unique values
0 missing
attr148numeric2150 unique values
0 missing
attr149numeric2127 unique values
0 missing
attr150numeric2135 unique values
0 missing
attr151numeric2100 unique values
0 missing
attr152numeric2106 unique values
0 missing
attr153numeric2123 unique values
0 missing
attr154numeric2179 unique values
0 missing
attr155numeric2255 unique values
0 missing
attr156numeric2271 unique values
0 missing
attr157numeric2265 unique values
0 missing
attr158numeric2292 unique values
0 missing
attr159numeric2265 unique values
0 missing
attr160numeric2287 unique values
0 missing
attr161numeric2252 unique values
0 missing
attr162numeric2309 unique values
0 missing
attr163numeric2335 unique values
0 missing
attr164numeric2330 unique values
0 missing
attr165numeric2320 unique values
0 missing
attr166numeric2329 unique values
0 missing
attr167numeric2323 unique values
0 missing
attr168numeric2329 unique values
0 missing
attr169numeric2337 unique values
0 missing
attr170numeric2326 unique values
0 missing
attr171numeric2353 unique values
0 missing
attr172numeric2336 unique values
0 missing
attr173numeric2342 unique values
0 missing
attr174numeric2342 unique values
0 missing
attr175numeric2324 unique values
0 missing
attr176numeric2342 unique values
0 missing
attr177numeric2348 unique values
0 missing
attr178numeric2336 unique values
0 missing
attr179numeric2338 unique values
0 missing
attr180numeric2346 unique values
0 missing
attr181numeric2344 unique values
0 missing
attr182numeric2339 unique values
0 missing
attr183numeric2321 unique values
0 missing
attr184numeric2339 unique values
0 missing
attr185numeric2332 unique values
0 missing
attr186numeric2338 unique values
0 missing
attr187numeric2343 unique values
0 missing
attr188numeric2323 unique values
0 missing
attr189numeric2329 unique values
0 missing
attr190numeric2293 unique values
0 missing
attr191numeric2309 unique values
0 missing
attr192numeric2292 unique values
0 missing
attr193numeric2294 unique values
0 missing
attr194numeric2301 unique values
0 missing
attr195numeric2294 unique values
0 missing
attr196numeric2273 unique values
0 missing
attr197numeric2103 unique values
0 missing
attr198numeric2096 unique values
0 missing
attr199numeric2098 unique values
0 missing
attr200numeric2115 unique values
0 missing
attr201numeric2092 unique values
0 missing
attr202numeric2089 unique values
0 missing
attr203numeric2100 unique values
0 missing
attr204numeric2200 unique values
0 missing
attr205numeric2191 unique values
0 missing
attr206numeric2196 unique values
0 missing
attr207numeric2201 unique values
0 missing
attr208numeric2206 unique values
0 missing
attr209numeric2210 unique values
0 missing
attr210numeric2220 unique values
0 missing
attr211numeric2245 unique values
0 missing
attr212numeric2237 unique values
0 missing
attr213numeric2267 unique values
0 missing
attr214numeric2260 unique values
0 missing
attr215numeric2255 unique values
0 missing
attr216numeric2248 unique values
0 missing
attr217numeric2251 unique values
0 missing
attr218numeric2269 unique values
0 missing
attr219numeric2277 unique values
0 missing
attr220numeric2274 unique values
0 missing
attr221numeric2275 unique values
0 missing
attr222numeric2280 unique values
0 missing
attr223numeric2288 unique values
0 missing
attr224numeric2266 unique values
0 missing
attr225numeric2277 unique values
0 missing
attr226numeric2281 unique values
0 missing
attr227numeric2278 unique values
0 missing
attr228numeric2275 unique values
0 missing
attr229numeric2273 unique values
0 missing
attr230numeric2270 unique values
0 missing
attr231numeric2280 unique values
0 missing
attr232numeric2268 unique values
0 missing
attr233numeric2256 unique values
0 missing
attr234numeric2271 unique values
0 missing
attr235numeric2247 unique values
0 missing
attr236numeric2241 unique values
0 missing
attr237numeric2260 unique values
0 missing
attr238numeric2263 unique values
0 missing
attr239numeric2232 unique values
0 missing
attr240numeric2234 unique values
0 missing
attr241numeric2240 unique values
0 missing
attr242numeric2241 unique values
0 missing
attr243numeric2236 unique values
0 missing
attr244numeric2233 unique values
0 missing
attr245numeric2236 unique values
0 missing
attr246numeric2327 unique values
0 missing
attr247numeric2312 unique values
0 missing
attr248numeric2293 unique values
0 missing
attr249numeric2284 unique values
0 missing
attr250numeric2294 unique values
0 missing
attr251numeric2297 unique values
0 missing
attr252numeric2307 unique values
0 missing
attr253numeric2333 unique values
0 missing
attr254numeric2330 unique values
0 missing
attr255numeric2342 unique values
0 missing
attr256numeric2333 unique values
0 missing

107 properties

2407
Number of instances (rows) of the dataset.
300
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
294
Number of numeric attributes.
6
Number of nominal attributes.
13.37
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
6
Number of binary attributes.
0.03
First quartile of mutual information between the nominal attributes and the target attribute.
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Average number of distinct values among the attributes of the nominal type.
0.05
First quartile of skewness among attributes of the numeric type.
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
1.69
Mean skewness among attributes of the numeric type.
0.16
First quartile of standard deviation of attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.18
Mean standard deviation of attributes of the numeric type.
0.67
Second quartile (Median) of entropy among attributes.
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
0.08
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
82.09
Percentage of instances belonging to the most frequent class.
0.61
Minimal entropy among attributes.
2.39
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.68
Entropy of the target attribute values.
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
1976
Number of instances belonging to the most frequent class.
-0.75
Minimum kurtosis among attributes of the numeric type.
0.27
Second quartile (Median) of means among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.76
Maximum entropy among attributes.
0.03
Minimum of means among attributes of the numeric type.
0.05
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.04
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.18
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
76.68
Maximum kurtosis among attributes of the numeric type.
0.02
Minimal mutual information between the nominal attributes and the target attribute.
1.34
Second quartile (Median) of skewness among attributes of the numeric type.
0.84
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0.72
Maximum of means among attributes of the numeric type.
2
The minimal number of distinct values among attributes of the nominal type.
2
Percentage of binary attributes.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.12
Number of attributes divided by the number of instances.
0.07
Maximum mutual information between the nominal attributes and the target attribute.
-0.85
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
0.72
Third quartile of entropy among attributes.
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
14.43
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
2
The maximum number of distinct values among attributes of the nominal type.
0.07
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
6.96
Third quartile of kurtosis among attributes of the numeric type.
0.98
Average class difference between consecutive instances.
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
7.31
Maximum skewness among attributes of the numeric type.
17.91
Percentage of instances belonging to the least frequent class.
98
Percentage of numeric attributes.
0.51
Third quartile of means among attributes of the numeric type.
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
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.26
Maximum standard deviation of attributes of the numeric type.
431
Number of instances belonging to the least frequent class.
2
Percentage of nominal attributes.
0.06
Third quartile of mutual information between the nominal attributes and the target attribute.
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
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.68
Average entropy of the attributes.
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.63
First quartile of entropy among attributes.
2.45
Third quartile of skewness among attributes of the numeric type.
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
0.44
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
8.19
Mean kurtosis among attributes of the numeric type.
0.32
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.26
First quartile of kurtosis among attributes of the numeric type.
0.21
Third quartile of standard deviation of attributes of the numeric type.
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
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.02
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.31
Mean of means among attributes of the numeric type.
0.05
Average mutual information between the nominal attributes and the target attribute.
0.31
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.13
First quartile of means among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
0.17
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.94
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

16 tasks

84592 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Urban
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Urban
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Urban
45 runs - estimation_procedure: 10-fold Learning Curve - target_feature: Urban
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Urban
0 runs - target_feature: Urban
1312 runs - target_feature: Urban
1307 runs - target_feature: Urban
0 runs - target_feature: Urban
0 runs - target_feature: Urban
0 runs - target_feature: Urban
0 runs - target_feature: Urban
0 runs - target_feature: Urban
0 runs - target_feature: Urban
Define a new task