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scene

active ARFF Publicly available Visibility: public Uploaded 25-08-2014 by Tobias Kuehn
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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)	nominal	2 unique values 0 missing
attr1	numeric	2349 unique values 0 missing
attr257	numeric	2340 unique values 0 missing
attr2	numeric	2346 unique values 0 missing
attr258	numeric	2336 unique values 0 missing
attr3	numeric	2354 unique values 0 missing
attr259	numeric	2344 unique values 0 missing
attr4	numeric	2343 unique values 0 missing
attr260	numeric	2347 unique values 0 missing
attr5	numeric	2346 unique values 0 missing
attr261	numeric	2358 unique values 0 missing
attr6	numeric	2346 unique values 0 missing
attr262	numeric	2352 unique values 0 missing
attr7	numeric	2345 unique values 0 missing
attr263	numeric	2343 unique values 0 missing
attr8	numeric	2349 unique values 0 missing
attr264	numeric	2343 unique values 0 missing
attr9	numeric	2369 unique values 0 missing
attr265	numeric	2345 unique values 0 missing
attr10	numeric	2361 unique values 0 missing
attr266	numeric	2353 unique values 0 missing
attr11	numeric	2363 unique values 0 missing
attr267	numeric	2344 unique values 0 missing
attr12	numeric	2372 unique values 0 missing
attr268	numeric	2338 unique values 0 missing
attr13	numeric	2370 unique values 0 missing
attr269	numeric	2347 unique values 0 missing
attr14	numeric	2365 unique values 0 missing
attr270	numeric	2341 unique values 0 missing
attr15	numeric	2370 unique values 0 missing
attr271	numeric	2331 unique values 0 missing
attr16	numeric	2378 unique values 0 missing
attr272	numeric	2342 unique values 0 missing
attr17	numeric	2382 unique values 0 missing
attr273	numeric	2349 unique values 0 missing
attr18	numeric	2379 unique values 0 missing
attr274	numeric	2361 unique values 0 missing
attr19	numeric	2381 unique values 0 missing
attr275	numeric	2354 unique values 0 missing
attr20	numeric	2380 unique values 0 missing
attr276	numeric	2347 unique values 0 missing
attr21	numeric	2371 unique values 0 missing
attr277	numeric	2359 unique values 0 missing
attr22	numeric	2367 unique values 0 missing
attr278	numeric	2356 unique values 0 missing
attr23	numeric	2375 unique values 0 missing
attr279	numeric	2366 unique values 0 missing
attr24	numeric	2383 unique values 0 missing
attr280	numeric	2356 unique values 0 missing
attr25	numeric	2385 unique values 0 missing
attr281	numeric	2364 unique values 0 missing
attr26	numeric	2383 unique values 0 missing
attr282	numeric	2361 unique values 0 missing
attr27	numeric	2381 unique values 0 missing
attr283	numeric	2358 unique values 0 missing
attr28	numeric	2366 unique values 0 missing
attr284	numeric	2361 unique values 0 missing
attr29	numeric	2360 unique values 0 missing
attr285	numeric	2370 unique values 0 missing
attr30	numeric	2378 unique values 0 missing
attr286	numeric	2366 unique values 0 missing
attr31	numeric	2380 unique values 0 missing
attr287	numeric	2357 unique values 0 missing
attr32	numeric	2385 unique values 0 missing
attr288	numeric	2347 unique values 0 missing
attr33	numeric	2380 unique values 0 missing
attr289	numeric	2354 unique values 0 missing
attr34	numeric	2362 unique values 0 missing
attr290	numeric	2357 unique values 0 missing
attr35	numeric	2351 unique values 0 missing
attr291	numeric	2346 unique values 0 missing
attr36	numeric	2336 unique values 0 missing
attr292	numeric	2368 unique values 0 missing
attr37	numeric	2356 unique values 0 missing
attr293	numeric	2359 unique values 0 missing
attr38	numeric	2367 unique values 0 missing
attr294	numeric	2354 unique values 0 missing
attr39	numeric	2374 unique values 0 missing
Beach	nominal	2 unique values 0 missing
attr40	numeric	2366 unique values 0 missing
Sunset	nominal	2 unique values 0 missing
attr41	numeric	2350 unique values 0 missing
FallFoliage	nominal	2 unique values 0 missing
attr42	numeric	2333 unique values 0 missing
Field	nominal	2 unique values 0 missing
attr43	numeric	2280 unique values 0 missing
Mountain	nominal	2 unique values 0 missing
attr44	numeric	2307 unique values 0 missing
attr45	numeric	2327 unique values 0 missing
attr46	numeric	2324 unique values 0 missing
attr47	numeric	2319 unique values 0 missing
attr48	numeric	2301 unique values 0 missing
attr49	numeric	2277 unique values 0 missing
attr50	numeric	2278 unique values 0 missing
attr51	numeric	2241 unique values 0 missing
attr52	numeric	2243 unique values 0 missing
attr53	numeric	2258 unique values 0 missing
attr54	numeric	2255 unique values 0 missing
attr55	numeric	2249 unique values 0 missing
attr56	numeric	2277 unique values 0 missing
attr57	numeric	2317 unique values 0 missing
attr58	numeric	2330 unique values 0 missing
attr59	numeric	2334 unique values 0 missing
attr60	numeric	2322 unique values 0 missing
attr61	numeric	2333 unique values 0 missing
attr62	numeric	2326 unique values 0 missing
attr63	numeric	2311 unique values 0 missing
attr64	numeric	2359 unique values 0 missing
attr65	numeric	2362 unique values 0 missing
attr66	numeric	2357 unique values 0 missing
attr67	numeric	2366 unique values 0 missing
attr68	numeric	2357 unique values 0 missing
attr69	numeric	2360 unique values 0 missing
attr70	numeric	2350 unique values 0 missing
attr71	numeric	2350 unique values 0 missing
attr72	numeric	2361 unique values 0 missing
attr73	numeric	2371 unique values 0 missing
attr74	numeric	2373 unique values 0 missing
attr75	numeric	2373 unique values 0 missing
attr76	numeric	2364 unique values 0 missing
attr77	numeric	2361 unique values 0 missing
attr78	numeric	2365 unique values 0 missing
attr79	numeric	2358 unique values 0 missing
attr80	numeric	2368 unique values 0 missing
attr81	numeric	2362 unique values 0 missing
attr82	numeric	2369 unique values 0 missing
attr83	numeric	2352 unique values 0 missing
attr84	numeric	2370 unique values 0 missing
attr85	numeric	2354 unique values 0 missing
attr86	numeric	2348 unique values 0 missing
attr87	numeric	2352 unique values 0 missing
attr88	numeric	2354 unique values 0 missing
attr89	numeric	2356 unique values 0 missing
attr90	numeric	2348 unique values 0 missing
attr91	numeric	2353 unique values 0 missing
attr92	numeric	2326 unique values 0 missing
attr93	numeric	2334 unique values 0 missing
attr94	numeric	2345 unique values 0 missing
attr95	numeric	2342 unique values 0 missing
attr96	numeric	2343 unique values 0 missing
attr97	numeric	2338 unique values 0 missing
attr98	numeric	2322 unique values 0 missing
attr99	numeric	2198 unique values 0 missing
attr100	numeric	2210 unique values 0 missing
attr101	numeric	2225 unique values 0 missing
attr102	numeric	2217 unique values 0 missing
attr103	numeric	2213 unique values 0 missing
attr104	numeric	2221 unique values 0 missing
attr105	numeric	2219 unique values 0 missing
attr106	numeric	2256 unique values 0 missing
attr107	numeric	2276 unique values 0 missing
attr108	numeric	2274 unique values 0 missing
attr109	numeric	2264 unique values 0 missing
attr110	numeric	2270 unique values 0 missing
attr111	numeric	2273 unique values 0 missing
attr112	numeric	2267 unique values 0 missing
attr113	numeric	2294 unique values 0 missing
attr114	numeric	2305 unique values 0 missing
attr115	numeric	2305 unique values 0 missing
attr116	numeric	2317 unique values 0 missing
attr117	numeric	2300 unique values 0 missing
attr118	numeric	2311 unique values 0 missing
attr119	numeric	2288 unique values 0 missing
attr120	numeric	2311 unique values 0 missing
attr121	numeric	2317 unique values 0 missing
attr122	numeric	2312 unique values 0 missing
attr123	numeric	2324 unique values 0 missing
attr124	numeric	2308 unique values 0 missing
attr125	numeric	2315 unique values 0 missing
attr126	numeric	2307 unique values 0 missing
attr127	numeric	2322 unique values 0 missing
attr128	numeric	2327 unique values 0 missing
attr129	numeric	2329 unique values 0 missing
attr130	numeric	2325 unique values 0 missing
attr131	numeric	2328 unique values 0 missing
attr132	numeric	2324 unique values 0 missing
attr133	numeric	2329 unique values 0 missing
attr134	numeric	2343 unique values 0 missing
attr135	numeric	2342 unique values 0 missing
attr136	numeric	2338 unique values 0 missing
attr137	numeric	2317 unique values 0 missing
attr138	numeric	2329 unique values 0 missing
attr139	numeric	2329 unique values 0 missing
attr140	numeric	2337 unique values 0 missing
attr141	numeric	2316 unique values 0 missing
attr142	numeric	2329 unique values 0 missing
attr143	numeric	2331 unique values 0 missing
attr144	numeric	2313 unique values 0 missing
attr145	numeric	2324 unique values 0 missing
attr146	numeric	2328 unique values 0 missing
attr147	numeric	2304 unique values 0 missing
attr148	numeric	2150 unique values 0 missing
attr149	numeric	2127 unique values 0 missing
attr150	numeric	2135 unique values 0 missing
attr151	numeric	2100 unique values 0 missing
attr152	numeric	2106 unique values 0 missing
attr153	numeric	2123 unique values 0 missing
attr154	numeric	2179 unique values 0 missing
attr155	numeric	2255 unique values 0 missing
attr156	numeric	2271 unique values 0 missing
attr157	numeric	2265 unique values 0 missing
attr158	numeric	2292 unique values 0 missing
attr159	numeric	2265 unique values 0 missing
attr160	numeric	2287 unique values 0 missing
attr161	numeric	2252 unique values 0 missing
attr162	numeric	2309 unique values 0 missing
attr163	numeric	2335 unique values 0 missing
attr164	numeric	2330 unique values 0 missing
attr165	numeric	2320 unique values 0 missing
attr166	numeric	2329 unique values 0 missing
attr167	numeric	2323 unique values 0 missing
attr168	numeric	2329 unique values 0 missing
attr169	numeric	2337 unique values 0 missing
attr170	numeric	2326 unique values 0 missing
attr171	numeric	2353 unique values 0 missing
attr172	numeric	2336 unique values 0 missing
attr173	numeric	2342 unique values 0 missing
attr174	numeric	2342 unique values 0 missing
attr175	numeric	2324 unique values 0 missing
attr176	numeric	2342 unique values 0 missing
attr177	numeric	2348 unique values 0 missing
attr178	numeric	2336 unique values 0 missing
attr179	numeric	2338 unique values 0 missing
attr180	numeric	2346 unique values 0 missing
attr181	numeric	2344 unique values 0 missing
attr182	numeric	2339 unique values 0 missing
attr183	numeric	2321 unique values 0 missing
attr184	numeric	2339 unique values 0 missing
attr185	numeric	2332 unique values 0 missing
attr186	numeric	2338 unique values 0 missing
attr187	numeric	2343 unique values 0 missing
attr188	numeric	2323 unique values 0 missing
attr189	numeric	2329 unique values 0 missing
attr190	numeric	2293 unique values 0 missing
attr191	numeric	2309 unique values 0 missing
attr192	numeric	2292 unique values 0 missing
attr193	numeric	2294 unique values 0 missing
attr194	numeric	2301 unique values 0 missing
attr195	numeric	2294 unique values 0 missing
attr196	numeric	2273 unique values 0 missing
attr197	numeric	2103 unique values 0 missing
attr198	numeric	2096 unique values 0 missing
attr199	numeric	2098 unique values 0 missing
attr200	numeric	2115 unique values 0 missing
attr201	numeric	2092 unique values 0 missing
attr202	numeric	2089 unique values 0 missing
attr203	numeric	2100 unique values 0 missing
attr204	numeric	2200 unique values 0 missing
attr205	numeric	2191 unique values 0 missing
attr206	numeric	2196 unique values 0 missing
attr207	numeric	2201 unique values 0 missing
attr208	numeric	2206 unique values 0 missing
attr209	numeric	2210 unique values 0 missing
attr210	numeric	2220 unique values 0 missing
attr211	numeric	2245 unique values 0 missing
attr212	numeric	2237 unique values 0 missing
attr213	numeric	2267 unique values 0 missing
attr214	numeric	2260 unique values 0 missing
attr215	numeric	2255 unique values 0 missing
attr216	numeric	2248 unique values 0 missing
attr217	numeric	2251 unique values 0 missing
attr218	numeric	2269 unique values 0 missing
attr219	numeric	2277 unique values 0 missing
attr220	numeric	2274 unique values 0 missing
attr221	numeric	2275 unique values 0 missing
attr222	numeric	2280 unique values 0 missing
attr223	numeric	2288 unique values 0 missing
attr224	numeric	2266 unique values 0 missing
attr225	numeric	2277 unique values 0 missing
attr226	numeric	2281 unique values 0 missing
attr227	numeric	2278 unique values 0 missing
attr228	numeric	2275 unique values 0 missing
attr229	numeric	2273 unique values 0 missing
attr230	numeric	2270 unique values 0 missing
attr231	numeric	2280 unique values 0 missing
attr232	numeric	2268 unique values 0 missing
attr233	numeric	2256 unique values 0 missing
attr234	numeric	2271 unique values 0 missing
attr235	numeric	2247 unique values 0 missing
attr236	numeric	2241 unique values 0 missing
attr237	numeric	2260 unique values 0 missing
attr238	numeric	2263 unique values 0 missing
attr239	numeric	2232 unique values 0 missing
attr240	numeric	2234 unique values 0 missing
attr241	numeric	2240 unique values 0 missing
attr242	numeric	2241 unique values 0 missing
attr243	numeric	2236 unique values 0 missing
attr244	numeric	2233 unique values 0 missing
attr245	numeric	2236 unique values 0 missing
attr246	numeric	2327 unique values 0 missing
attr247	numeric	2312 unique values 0 missing
attr248	numeric	2293 unique values 0 missing
attr249	numeric	2284 unique values 0 missing
attr250	numeric	2294 unique values 0 missing
attr251	numeric	2297 unique values 0 missing
attr252	numeric	2307 unique values 0 missing
attr253	numeric	2333 unique values 0 missing
attr254	numeric	2330 unique values 0 missing
attr255	numeric	2342 unique values 0 missing
attr256	numeric	2333 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

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

294

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2SkewnessOfNumericAtts

1.34

Second quartile (Median) of skewness among attributes of the numeric type.

REPTreeDepth3Kappa

0.84

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

0.72

Maximum of means among attributes of the numeric type.

MinMutualInformation

0.02

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.19

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1AUC

0.72

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

0.12

Number of attributes divided by the number of instances.

MaxMutualInformation

0.07

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

0.72

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

14.43

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-0.85

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

6.96

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.98

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.44

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

7.31

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.07

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.51

Third quartile of means among attributes of the numeric type.

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

RandomTreeDepth2AUC

0.72

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.02

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

0.26

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

17.91

Percentage of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile3MutualInformation

0.06

Third quartile of mutual information between the nominal attributes and the target attribute.

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

RandomTreeDepth2ErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.94

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

0.68

Average entropy of the attributes.

MinorityClassSize

431

Number of instances belonging to the least frequent class.

Quartile1AttributeEntropy

0.63

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

2.45

Third quartile of skewness among attributes of the numeric type.

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

RandomTreeDepth2Kappa

0.44

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

8.19

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.82

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

0.26

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.21

Third quartile of standard deviation of attributes of the numeric type.

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

RandomTreeDepth3AUC

0.72

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.02

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

0.31

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.32

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

0.13

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.91

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

RandomTreeDepth3ErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.94

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

0.05

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.31

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MutualInformation

0.03

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

RandomTreeDepth3Kappa

0.44

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

13.37

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1SkewnessOfNumericAtts

0.05

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.84

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.02

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1StdDevOfNumericAtts

0.16

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.91

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

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

kNN1NAUC

0.9

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.94

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

1.69

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

0.67

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

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

kNN1NErrRate

0.08

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

82.09

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.18

Mean standard deviation of attributes of the numeric type.

Quartile2KurtosisOfNumericAtts

2.39

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.84

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.68

Entropy of the target attribute values.

kNN1NKappa

0.74

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

1976

Number of instances belonging to the most frequent class.

MinAttributeEntropy

0.61

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.27

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3AUC

0.91

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.68

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

0.76

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-0.75

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

0.05

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

REPTreeDepth3ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

76.68

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.03

Minimum of means among attributes of the numeric type.

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