Data
house_prices_nominal

house_prices_nominal

active ARFF Publicly available Visibility: public Uploaded 25-06-2020 by Test Test
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80 features

SalePrice (target)numeric663 unique values
0 missing
Id (row identifier)numeric1460 unique values
0 missing
MSSubClassnumeric15 unique values
0 missing
MSZoningnominal5 unique values
0 missing
LotFrontagenumeric110 unique values
259 missing
LotAreanumeric1073 unique values
0 missing
Streetnominal2 unique values
0 missing
Alleynominal2 unique values
1369 missing
LotShapenominal4 unique values
0 missing
LandContournominal4 unique values
0 missing
Utilitiesnominal2 unique values
0 missing
LotConfignominal5 unique values
0 missing
LandSlopenominal3 unique values
0 missing
Neighborhoodnominal25 unique values
0 missing
Condition1nominal9 unique values
0 missing
Condition2nominal8 unique values
0 missing
BldgTypenominal5 unique values
0 missing
HouseStylenominal8 unique values
0 missing
OverallQualnumeric10 unique values
0 missing
OverallCondnumeric9 unique values
0 missing
YearBuiltnumeric112 unique values
0 missing
YearRemodAddnumeric61 unique values
0 missing
RoofStylenominal6 unique values
0 missing
RoofMatlnominal8 unique values
0 missing
Exterior1stnominal15 unique values
0 missing
Exterior2ndnominal16 unique values
0 missing
MasVnrTypenominal4 unique values
8 missing
MasVnrAreanumeric327 unique values
8 missing
ExterQualnominal4 unique values
0 missing
ExterCondnominal5 unique values
0 missing
Foundationnominal6 unique values
0 missing
BsmtQualnominal4 unique values
37 missing
BsmtCondnominal4 unique values
37 missing
BsmtExposurenominal4 unique values
38 missing
BsmtFinType1nominal6 unique values
37 missing
BsmtFinSF1numeric637 unique values
0 missing
BsmtFinType2nominal6 unique values
38 missing
BsmtFinSF2numeric144 unique values
0 missing
BsmtUnfSFnumeric780 unique values
0 missing
TotalBsmtSFnumeric721 unique values
0 missing
Heatingnominal6 unique values
0 missing
HeatingQCnominal5 unique values
0 missing
CentralAirnominal2 unique values
0 missing
Electricalnominal5 unique values
1 missing
1stFlrSFnumeric753 unique values
0 missing
2ndFlrSFnumeric417 unique values
0 missing
LowQualFinSFnumeric24 unique values
0 missing
GrLivAreanumeric861 unique values
0 missing
BsmtFullBathnumeric4 unique values
0 missing
BsmtHalfBathnumeric3 unique values
0 missing
FullBathnumeric4 unique values
0 missing
HalfBathnumeric3 unique values
0 missing
BedroomAbvGrnumeric8 unique values
0 missing
KitchenAbvGrnumeric4 unique values
0 missing
KitchenQualnominal4 unique values
0 missing
TotRmsAbvGrdnumeric12 unique values
0 missing
Functionalnominal7 unique values
0 missing
Fireplacesnumeric4 unique values
0 missing
FireplaceQunominal5 unique values
690 missing
GarageTypenominal6 unique values
81 missing
GarageYrBltnumeric97 unique values
81 missing
GarageFinishnominal3 unique values
81 missing
GarageCarsnumeric5 unique values
0 missing
GarageAreanumeric441 unique values
0 missing
GarageQualnominal5 unique values
81 missing
GarageCondnominal5 unique values
81 missing
PavedDrivenominal3 unique values
0 missing
WoodDeckSFnumeric274 unique values
0 missing
OpenPorchSFnumeric202 unique values
0 missing
EnclosedPorchnumeric120 unique values
0 missing
3SsnPorchnumeric20 unique values
0 missing
ScreenPorchnumeric76 unique values
0 missing
PoolAreanumeric8 unique values
0 missing
PoolQCnominal3 unique values
1453 missing
Fencenominal4 unique values
1179 missing
MiscFeaturenominal4 unique values
1406 missing
MiscValnumeric21 unique values
0 missing
MoSoldnumeric12 unique values
0 missing
YrSoldnumeric5 unique values
0 missing
SaleTypenominal9 unique values
0 missing
SaleConditionnominal6 unique values
0 missing

107 properties

1460
Number of instances (rows) of the dataset.
80
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
6965
Number of missing values in the dataset.
1460
Number of instances with at least one value missing.
37
Number of numeric attributes.
43
Number of nominal attributes.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
4.14
Standard deviation of the number of distinct values among attributes of the nominal type.
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
5.86
Average number of distinct values among the attributes of the nominal type.
0.21
First quartile of skewness among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
3.05
Mean skewness among attributes of the numeric type.
1.22
First quartile of standard deviation of attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
Percentage of instances belonging to the most frequent class.
2533.58
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Entropy of the target attribute values.
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2.99
Second quartile (Median) of kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.27
Minimum kurtosis among attributes of the numeric type.
46.55
Second quartile (Median) of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
701
Maximum kurtosis among attributes of the numeric type.
0.06
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
180921.2
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
1.38
Second quartile (Median) of skewness among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.05
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
5
Percentage of binary attributes.
40.18
Second quartile (Median) of standard deviation of attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
25
The maximum number of distinct values among attributes of the nominal type.
-0.65
Minimum skewness among attributes of the numeric type.
100
Percentage of instances having missing values.
Third quartile of entropy among attributes.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
24.48
Maximum skewness among attributes of the numeric type.
0.22
Minimum standard deviation of attributes of the numeric type.
5.96
Percentage of missing values.
16.92
Third quartile of kurtosis among attributes of the numeric type.
-80645.68
Average class difference between consecutive instances.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
79442.5
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
46.25
Percentage of numeric attributes.
812.33
Third quartile of means among attributes of the numeric type.
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
53.75
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
40.6
Mean kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
3.6
Third quartile of skewness among attributes of the numeric type.
300.2
Third quartile of standard deviation of attributes of the numeric type.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
5553.8
Mean of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.31
First quartile of kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
3.14
First quartile of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
4
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.

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