Data
Bioresponse

Bioresponse

active ARFF Publicly available Visibility: public Uploaded 04-11-2015 by Joaquin Vanschoren
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Data from the Kaggle Bioresponse challenge: https://www.kaggle.com/c/bioresponse The objective of the competition is to help us build as good a model as possible so that we can, as optimally as this data allows, relate molecular information, to an actual biological response. We have shared the data in the comma separated values (CSV) format. Each row in this data set represents a molecule. The first column contains experimental data describing an actual biological response; the molecule was seen to elicit this response (1), or not (0). The remaining columns represent molecular descriptors (d1 through d1776), these are calculated properties that can capture some of the characteristics of the molecule - for example size, shape, or elemental constitution. The descriptor matrix has been normalized. The original training and test set were merged.

1777 features

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D654numeric3 unique values
0 missing
D655numeric4 unique values
0 missing
D656numeric3 unique values
0 missing
D657numeric5 unique values
0 missing
D658numeric4 unique values
0 missing
D659numeric22 unique values
0 missing
D660numeric24 unique values
0 missing
D661numeric20 unique values
0 missing
D662numeric19 unique values
0 missing
D663numeric15 unique values
0 missing
D664numeric16 unique values
0 missing
D665numeric13 unique values
0 missing
D666numeric13 unique values
0 missing
D667numeric11 unique values
0 missing
D668numeric11 unique values
0 missing
D669numeric8 unique values
0 missing
D670numeric3 unique values
0 missing
D671numeric5 unique values
0 missing
D672numeric12 unique values
0 missing
D673numeric7 unique values
0 missing
D674numeric9 unique values
0 missing
D675numeric8 unique values
0 missing
D676numeric8 unique values
0 missing
D677numeric5 unique values
0 missing
D678numeric7 unique values
0 missing
D679numeric7 unique values
0 missing
D680numeric7 unique values
0 missing
D681numeric5 unique values
0 missing
D682numeric5 unique values
0 missing
D683numeric7 unique values
0 missing
D684numeric5 unique values
0 missing
D685numeric5 unique values
0 missing
D686numeric9 unique values
0 missing
D687numeric7 unique values
0 missing
D688numeric8 unique values
0 missing
D689numeric8 unique values
0 missing
D690numeric8 unique values
0 missing
D691numeric8 unique values
0 missing
D692numeric6 unique values
0 missing
D693numeric7 unique values
0 missing
D694numeric7 unique values
0 missing
D695numeric6 unique values
0 missing
D696numeric8 unique values
0 missing
D697numeric10 unique values
0 missing
D698numeric13 unique values
0 missing
D699numeric9 unique values
0 missing
D700numeric19 unique values
0 missing
D701numeric14 unique values
0 missing
D702numeric14 unique values
0 missing
D703numeric10 unique values
0 missing
D704numeric11 unique values
0 missing
D705numeric11 unique values
0 missing
D706numeric8 unique values
0 missing
D707numeric9 unique values
0 missing
D708numeric8 unique values
0 missing
D709numeric3 unique values
0 missing
D710numeric6 unique values
0 missing
D711numeric6 unique values
0 missing
D712numeric6 unique values
0 missing
D713numeric7 unique values
0 missing
D714numeric6 unique values
0 missing
D715numeric5 unique values
0 missing
D716numeric3 unique values
0 missing
D717numeric5 unique values
0 missing
D718numeric5 unique values
0 missing
D719numeric5 unique values
0 missing
D720numeric3 unique values
0 missing
D721numeric4 unique values
0 missing
D722numeric4 unique values
0 missing
D723numeric6 unique values
0 missing
D724numeric5 unique values
0 missing
D725numeric5 unique values
0 missing
D726numeric4 unique values
0 missing
D727numeric5 unique values
0 missing
D728numeric6 unique values
0 missing
D729numeric6 unique values
0 missing
D730numeric5 unique values
0 missing
D731numeric5 unique values
0 missing
D732numeric5 unique values
0 missing
D733numeric5 unique values
0 missing
D734numeric4 unique values
0 missing
D735numeric3 unique values
0 missing
D736numeric4 unique values
0 missing
D737numeric3 unique values
0 missing
D738numeric4 unique values
0 missing
D739numeric32 unique values
0 missing
D740numeric25 unique values
0 missing
D741numeric25 unique values
0 missing
D742numeric23 unique values
0 missing
D743numeric17 unique values
0 missing
D744numeric4 unique values
0 missing
D745numeric3 unique values
0 missing
D746numeric3 unique values
0 missing
D747numeric8 unique values
0 missing
D748numeric12 unique values
0 missing
D749numeric11 unique values
0 missing
D750numeric9 unique values
0 missing
D751numeric12 unique values
0 missing
D752numeric12 unique values
0 missing
D753numeric12 unique values
0 missing
D754numeric11 unique values
0 missing
D755numeric11 unique values
0 missing
D756numeric10 unique values
0 missing
D757numeric9 unique values
0 missing
D758numeric8 unique values
0 missing
D759numeric8 unique values
0 missing
D760numeric9 unique values
0 missing
D761numeric3 unique values
0 missing
D762numeric8 unique values
0 missing
D763numeric17 unique values
0 missing
D764numeric16 unique values
0 missing
D765numeric17 unique values
0 missing
D766numeric18 unique values
0 missing
D767numeric12 unique values
0 missing
D768numeric17 unique values
0 missing
D769numeric14 unique values
0 missing
D770numeric12 unique values
0 missing
D771numeric11 unique values
0 missing
D772numeric11 unique values
0 missing
D773numeric11 unique values
0 missing
D774numeric24 unique values
0 missing
D775numeric6 unique values
0 missing
D776numeric5 unique values
0 missing
D777numeric7 unique values
0 missing
D778numeric7 unique values
0 missing
D779numeric6 unique values
0 missing
D780numeric16 unique values
0 missing
D781numeric4 unique values
0 missing
D782numeric6 unique values
0 missing
D783numeric4 unique values
0 missing
D784numeric4 unique values
0 missing
D785numeric4 unique values
0 missing
D786numeric7 unique values
0 missing
D787numeric5 unique values
0 missing
D788numeric5 unique values
0 missing
D789numeric5 unique values
0 missing
D790numeric3 unique values
0 missing
D791numeric7 unique values
0 missing
D792numeric9 unique values
0 missing
D793numeric9 unique values
0 missing
D794numeric6 unique values
0 missing
D795numeric9 unique values
0 missing
D796numeric4 unique values
0 missing
D797numeric6 unique values
0 missing
D798numeric6 unique values
0 missing
D799numeric4 unique values
0 missing
D800numeric4 unique values
0 missing
D801numeric3 unique values
0 missing
D802numeric28 unique values
0 missing
D803numeric31 unique values
0 missing
D804numeric3 unique values
0 missing
D805numeric4 unique values
0 missing
D806numeric10 unique values
0 missing
D807numeric8 unique values
0 missing
D808numeric9 unique values
0 missing
D809numeric12 unique values
0 missing
D810numeric16 unique values
0 missing
D811numeric17 unique values
0 missing
D812numeric12 unique values
0 missing
D813numeric14 unique values
0 missing
D814numeric11 unique values
0 missing
D815numeric11 unique values
0 missing
D816numeric12 unique values
0 missing
D817numeric11 unique values
0 missing
D818numeric8 unique values
0 missing
D819numeric11 unique values
0 missing
D820numeric5 unique values
0 missing
D821numeric4 unique values
0 missing
D822numeric3 unique values
0 missing
D823numeric2 unique values
0 missing
D824numeric3 unique values
0 missing
D825numeric3 unique values
0 missing
D826numeric3 unique values
0 missing
D827numeric5 unique values
0 missing
D828numeric3 unique values
0 missing
D829numeric4 unique values
0 missing
D830numeric5 unique values
0 missing
D831numeric5 unique values
0 missing
D832numeric5 unique values
0 missing
D833numeric6 unique values
0 missing
D834numeric5 unique values
0 missing
D835numeric5 unique values
0 missing
D836numeric5 unique values
0 missing
D837numeric4 unique values
0 missing
D838numeric5 unique values
0 missing
D839numeric5 unique values
0 missing
D840numeric4 unique values
0 missing
D841numeric7 unique values
0 missing
D842numeric11 unique values
0 missing
D843numeric16 unique values
0 missing
D844numeric8 unique values
0 missing
D845numeric6 unique values
0 missing
D846numeric7 unique values
0 missing
D847numeric4 unique values
0 missing
D848numeric10 unique values
0 missing
D849numeric8 unique values
0 missing
D850numeric9 unique values
0 missing
D851numeric7 unique values
0 missing
D852numeric7 unique values
0 missing
D853numeric7 unique values
0 missing
D854numeric5 unique values
0 missing
D855numeric7 unique values
0 missing
D856numeric10 unique values
0 missing
D857numeric7 unique values
0 missing
D858numeric2 unique values
0 missing
D859numeric6 unique values
0 missing
D860numeric5 unique values
0 missing
D861numeric4 unique values
0 missing
D862numeric3 unique values
0 missing
D863numeric11 unique values
0 missing
D864numeric11 unique values
0 missing
D865numeric10 unique values
0 missing
D866numeric9 unique values
0 missing
D867numeric10 unique values
0 missing
D868numeric9 unique values
0 missing
D869numeric8 unique values
0 missing
D870numeric6 unique values
0 missing
D871numeric5 unique values
0 missing
D872numeric4 unique values
0 missing
D873numeric10 unique values
0 missing
D874numeric5 unique values
0 missing
D875numeric4 unique values
0 missing
D876numeric5 unique values
0 missing
D877numeric5 unique values
0 missing
D878numeric6 unique values
0 missing
D879numeric4 unique values
0 missing
D880numeric6 unique values
0 missing
D881numeric11 unique values
0 missing
D882numeric11 unique values
0 missing
D883numeric10 unique values
0 missing
D884numeric7 unique values
0 missing
D885numeric7 unique values
0 missing
D886numeric8 unique values
0 missing
D887numeric4 unique values
0 missing
D888numeric3 unique values
0 missing
D889numeric24 unique values
0 missing
D890numeric21 unique values
0 missing
D891numeric15 unique values
0 missing
D892numeric15 unique values
0 missing
D893numeric11 unique values
0 missing
D894numeric11 unique values
0 missing
D895numeric10 unique values
0 missing
D896numeric11 unique values
0 missing
D897numeric10 unique values
0 missing
D898numeric7 unique values
0 missing
D899numeric14 unique values
0 missing
D900numeric7 unique values
0 missing
D901numeric8 unique values
0 missing
D902numeric6 unique values
0 missing
D903numeric7 unique values
0 missing
D904numeric7 unique values
0 missing
D905numeric6 unique values
0 missing
D906numeric5 unique values
0 missing
D907numeric7 unique values
0 missing
D908numeric5 unique values
0 missing
D909numeric5 unique values
0 missing
D910numeric4 unique values
0 missing
D911numeric73 unique values
0 missing
D912numeric39 unique values
0 missing
D913numeric93 unique values
0 missing
D914numeric6 unique values
0 missing
D915numeric9 unique values
0 missing
D916numeric8 unique values
0 missing
D917numeric8 unique values
0 missing
D918numeric7 unique values
0 missing
D919numeric7 unique values
0 missing
D920numeric8 unique values
0 missing
D921numeric5 unique values
0 missing
D922numeric5 unique values
0 missing
D923numeric4 unique values
0 missing
D924numeric6 unique values
0 missing
D925numeric21 unique values
0 missing
D926numeric24 unique values
0 missing
D927numeric32 unique values
0 missing
D928numeric25 unique values
0 missing
D929numeric22 unique values
0 missing
D930numeric4 unique values
0 missing
D931numeric4 unique values
0 missing
D932numeric5 unique values
0 missing
D933numeric12 unique values
0 missing
D934numeric7 unique values
0 missing
D935numeric12 unique values
0 missing
D936numeric8 unique values
0 missing
D937numeric11 unique values
0 missing
D938numeric11 unique values
0 missing
D939numeric9 unique values
0 missing
D940numeric8 unique values
0 missing
D941numeric8 unique values
0 missing
D942numeric6 unique values
0 missing
D943numeric7 unique values
0 missing
D944numeric8 unique values
0 missing
D945numeric6 unique values
0 missing
D946numeric19 unique values
0 missing
D947numeric31 unique values
0 missing
D948numeric11 unique values
0 missing
D949numeric8 unique values
0 missing
D950numeric23 unique values
0 missing
D951numeric67 unique values
0 missing
D952numeric2 unique values
0 missing
D953numeric2 unique values
0 missing
D954numeric2 unique values
0 missing
D955numeric2 unique values
0 missing
D956numeric2 unique values
0 missing
D957numeric2 unique values
0 missing
D958numeric2 unique values
0 missing
D959numeric2 unique values
0 missing
D960numeric2 unique values
0 missing
D961numeric2 unique values
0 missing
D962numeric2 unique values
0 missing
D963numeric2 unique values
0 missing
D964numeric2 unique values
0 missing
D965numeric2 unique values
0 missing
D966numeric2 unique values
0 missing
D967numeric2 unique values
0 missing
D968numeric2 unique values
0 missing
D969numeric2 unique values
0 missing
D970numeric2 unique values
0 missing
D971numeric2 unique values
0 missing
D972numeric2 unique values
0 missing
D973numeric2 unique values
0 missing
D974numeric2 unique values
0 missing
D975numeric2 unique values
0 missing
D976numeric2 unique values
0 missing
D977numeric2 unique values
0 missing
D978numeric2 unique values
0 missing
D979numeric2 unique values
0 missing
D980numeric2 unique values
0 missing
D981numeric2 unique values
0 missing
D982numeric2 unique values
0 missing
D983numeric2 unique values
0 missing
D984numeric2 unique values
0 missing
D985numeric2 unique values
0 missing
D986numeric2 unique values
0 missing
D987numeric2 unique values
0 missing
D988numeric2 unique values
0 missing
D989numeric2 unique values
0 missing
D990numeric2 unique values
0 missing
D991numeric2 unique values
0 missing
D992numeric2 unique values
0 missing
D993numeric2 unique values
0 missing
D994numeric2 unique values
0 missing
D995numeric2 unique values
0 missing
D996numeric2 unique values
0 missing
D997numeric2 unique values
0 missing
D998numeric2 unique values
0 missing
D999numeric2 unique values
0 missing

107 properties

3751
Number of instances (rows) of the dataset.
1777
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.
1776
Number of numeric attributes.
1
Number of nominal attributes.
0.5
Average class difference between consecutive instances.
0.76
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
0.26
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
0.47
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
0.76
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
0.26
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
0.47
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
0.76
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
0.26
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
0.47
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
0.99
Entropy of the target attribute values.
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.26
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
0.47
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0.47
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.28
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.43
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.28
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.43
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.28
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.43
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
54.23
Percentage of instances belonging to the most frequent class.
2034
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
3751
Maximum kurtosis among attributes of the numeric type.
0.97
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
61.25
Maximum skewness among attributes of the numeric type.
0.5
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
162.45
Mean kurtosis among attributes of the numeric type.
0.09
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
2
Average number of distinct values among the attributes of the nominal type.
8.21
Mean skewness among attributes of the numeric type.
0.16
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
-31.46
Minimum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
45.77
Percentage of instances belonging to the least frequent class.
1717
Number of instances belonging to the least frequent class.
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.34
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.3
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1
Number of binary attributes.
0.06
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.94
Percentage of numeric attributes.
0.06
Percentage of nominal attributes.
First quartile of entropy among attributes.
6.25
First quartile of kurtosis among attributes of the numeric type.
0.01
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
2.48
First quartile of skewness among attributes of the numeric type.
0.05
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
43.17
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.02
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
6.28
Second quartile (Median) of skewness among attributes of the numeric type.
0.11
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
144.56
Third quartile of kurtosis among attributes of the numeric type.
0.1
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
10.53
Third quartile of skewness among attributes of the numeric type.
0.25
Third quartile of standard deviation of attributes of the numeric type.
0.77
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.25
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.77
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.25
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.77
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.25
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.35
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.35
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.35
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.27
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.45
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

11 tasks

0 runs - estimation_procedure: Test on Training Data - target_feature: target
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: target
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: target
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: target
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: target
0 runs - estimation_procedure: Leave one out - target_feature: target
0 runs - estimation_procedure: 10% Holdout set - target_feature: target
0 runs - estimation_procedure: 33% Holdout set - target_feature: target
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: target
0 runs - estimation_procedure: 10 times 10-fold Learning Curve - target_feature: target
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: target
Define a new task