Data
Bioresponse

Bioresponse

active ARFF Publicly available Visibility: public Uploaded 04-11-2015 by Joaquin Vanschoren
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  • OpenML-CC18 OpenML100 study_123 study_14 study_34 study_98 study_99
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Author: Boehringer Ingelheim Source: [Kaggle](https://www.kaggle.com/c/bioresponse) - 2011 Please cite: None Predict a biological response of molecules from their chemical properties. 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.

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D603numeric4 unique values
0 missing
D859numeric6 unique values
0 missing
D1115numeric2 unique values
0 missing
D1371numeric2 unique values
0 missing
D1627numeric2 unique values
0 missing
D92numeric13 unique values
0 missing
D348numeric8 unique values
0 missing
D604numeric3 unique values
0 missing
D860numeric5 unique values
0 missing
D1116numeric2 unique values
0 missing
D1372numeric2 unique values
0 missing
D1628numeric2 unique values
0 missing
D93numeric15 unique values
0 missing
D349numeric9 unique values
0 missing
D605numeric4 unique values
0 missing
D861numeric4 unique values
0 missing
D1117numeric2 unique values
0 missing
D1373numeric2 unique values
0 missing
D1629numeric2 unique values
0 missing
D94numeric2 unique values
0 missing
D350numeric10 unique values
0 missing
D606numeric6 unique values
0 missing
D862numeric3 unique values
0 missing
D1118numeric2 unique values
0 missing
D1374numeric2 unique values
0 missing
D1630numeric2 unique values
0 missing
D95numeric1333 unique values
0 missing
D351numeric10 unique values
0 missing
D607numeric10 unique values
0 missing
D863numeric11 unique values
0 missing
D1119numeric2 unique values
0 missing
D1375numeric2 unique values
0 missing
D1631numeric2 unique values
0 missing
D96numeric25 unique values
0 missing
D352numeric9 unique values
0 missing
D608numeric10 unique values
0 missing
D864numeric11 unique values
0 missing
D1120numeric2 unique values
0 missing
D1376numeric2 unique values
0 missing
D1632numeric2 unique values
0 missing
D97numeric15 unique values
0 missing
D353numeric8 unique values
0 missing
D609numeric6 unique values
0 missing
D865numeric10 unique values
0 missing
D1121numeric2 unique values
0 missing
D1377numeric2 unique values
0 missing
D1633numeric2 unique values
0 missing
D98numeric5 unique values
0 missing
D354numeric7 unique values
0 missing
D610numeric7 unique values
0 missing
D866numeric9 unique values
0 missing
D1122numeric2 unique values
0 missing
D1378numeric2 unique values
0 missing
D1634numeric2 unique values
0 missing
D99numeric2455 unique values
0 missing
D355numeric7 unique values
0 missing
D611numeric6 unique values
0 missing
D867numeric10 unique values
0 missing
D1123numeric2 unique values
0 missing
D1379numeric2 unique values
0 missing
D1635numeric2 unique values
0 missing
D100numeric444 unique values
0 missing
D356numeric6 unique values
0 missing
D612numeric7 unique values
0 missing
D868numeric9 unique values
0 missing
D1124numeric2 unique values
0 missing
D1380numeric2 unique values
0 missing
D1636numeric2 unique values
0 missing
D101numeric447 unique values
0 missing
D357numeric6 unique values
0 missing
D613numeric7 unique values
0 missing
D869numeric8 unique values
0 missing
D1125numeric2 unique values
0 missing
D1381numeric2 unique values
0 missing
D1637numeric2 unique values
0 missing
D102numeric2900 unique values
0 missing
D358numeric5 unique values
0 missing
D614numeric5 unique values
0 missing
D870numeric6 unique values
0 missing
D1126numeric2 unique values
0 missing
D1382numeric2 unique values
0 missing
D1638numeric2 unique values
0 missing
D103numeric2980 unique values
0 missing
D359numeric5 unique values
0 missing
D615numeric5 unique values
0 missing
D871numeric5 unique values
0 missing
D1127numeric2 unique values
0 missing
D1383numeric2 unique values
0 missing
D1639numeric2 unique values
0 missing
D104numeric3613 unique values
0 missing
D360numeric7 unique values
0 missing
D616numeric3 unique values
0 missing
D872numeric4 unique values
0 missing
D1128numeric2 unique values
0 missing
D1384numeric2 unique values
0 missing
D1640numeric2 unique values
0 missing
D105numeric3640 unique values
0 missing
D361numeric8 unique values
0 missing
D617numeric5 unique values
0 missing
D873numeric10 unique values
0 missing
D1129numeric2 unique values
0 missing
D1385numeric2 unique values
0 missing
D1641numeric2 unique values
0 missing
D106numeric3638 unique values
0 missing
D362numeric5 unique values
0 missing
D618numeric5 unique values
0 missing
D874numeric5 unique values
0 missing
D1130numeric2 unique values
0 missing
D1386numeric2 unique values
0 missing
D1642numeric2 unique values
0 missing
D107numeric3595 unique values
0 missing
D363numeric6 unique values
0 missing
D619numeric5 unique values
0 missing
D875numeric4 unique values
0 missing
D1131numeric2 unique values
0 missing
D1387numeric2 unique values
0 missing
D1643numeric2 unique values
0 missing
D108numeric7 unique values
0 missing
D364numeric5 unique values
0 missing
D620numeric6 unique values
0 missing
D876numeric5 unique values
0 missing
D1132numeric2 unique values
0 missing
D1388numeric2 unique values
0 missing
D1644numeric2 unique values
0 missing
D109numeric6 unique values
0 missing
D365numeric5 unique values
0 missing
D621numeric11 unique values
0 missing
D877numeric5 unique values
0 missing
D1133numeric2 unique values
0 missing
D1389numeric2 unique values
0 missing
D1645numeric2 unique values
0 missing
D110numeric7 unique values
0 missing
D366numeric4 unique values
0 missing
D622numeric12 unique values
0 missing
D878numeric6 unique values
0 missing
D1134numeric2 unique values
0 missing
D1390numeric2 unique values
0 missing
D1646numeric2 unique values
0 missing
D111numeric7 unique values
0 missing
D367numeric5 unique values
0 missing
D623numeric9 unique values
0 missing
D879numeric4 unique values
0 missing
D1135numeric2 unique values
0 missing
D1391numeric2 unique values
0 missing
D1647numeric2 unique values
0 missing
D112numeric5 unique values
0 missing
D368numeric4 unique values
0 missing
D624numeric8 unique values
0 missing
D880numeric6 unique values
0 missing
D1136numeric2 unique values
0 missing
D1392numeric2 unique values
0 missing
D1648numeric2 unique values
0 missing
D113numeric6 unique values
0 missing
D369numeric4 unique values
0 missing
D625numeric10 unique values
0 missing
D881numeric11 unique values
0 missing
D1137numeric2 unique values
0 missing
D1393numeric2 unique values
0 missing
D1649numeric2 unique values
0 missing
D114numeric6 unique values
0 missing
D370numeric5 unique values
0 missing
D626numeric8 unique values
0 missing
D882numeric11 unique values
0 missing
D1138numeric2 unique values
0 missing
D1394numeric2 unique values
0 missing
D1650numeric2 unique values
0 missing
D115numeric6 unique values
0 missing
D371numeric3 unique values
0 missing
D627numeric9 unique values
0 missing
D883numeric10 unique values
0 missing
D1139numeric2 unique values
0 missing
D1395numeric2 unique values
0 missing
D1651numeric2 unique values
0 missing
D116numeric5 unique values
0 missing
D372numeric7 unique values
0 missing
D628numeric6 unique values
0 missing
D884numeric7 unique values
0 missing
D1140numeric2 unique values
0 missing
D1396numeric2 unique values
0 missing
D1652numeric2 unique values
0 missing
D117numeric746 unique values
0 missing
D373numeric9 unique values
0 missing
D629numeric7 unique values
0 missing
D885numeric7 unique values
0 missing
D1141numeric2 unique values
0 missing
D1397numeric2 unique values
0 missing
D1653numeric2 unique values
0 missing
D118numeric416 unique values
0 missing
D374numeric12 unique values
0 missing
D630numeric5 unique values
0 missing
D886numeric8 unique values
0 missing
D1142numeric2 unique values
0 missing
D1398numeric2 unique values
0 missing
D1654numeric2 unique values
0 missing
D119numeric542 unique values
0 missing
D375numeric10 unique values
0 missing
D631numeric4 unique values
0 missing
D887numeric4 unique values
0 missing
D1143numeric2 unique values
0 missing
D1399numeric2 unique values
0 missing
D1655numeric2 unique values
0 missing
D120numeric274 unique values
0 missing
D376numeric7 unique values
0 missing
D632numeric4 unique values
0 missing
D888numeric3 unique values
0 missing
D1144numeric2 unique values
0 missing
D1400numeric2 unique values
0 missing
D1656numeric2 unique values
0 missing
D121numeric304 unique values
0 missing
D377numeric9 unique values
0 missing
D633numeric4 unique values
0 missing
D889numeric24 unique values
0 missing
D1145numeric2 unique values
0 missing
D1401numeric2 unique values
0 missing
D1657numeric2 unique values
0 missing
D122numeric170 unique values
0 missing
D378numeric9 unique values
0 missing
D634numeric9 unique values
0 missing
D890numeric21 unique values
0 missing
D1146numeric2 unique values
0 missing
D1402numeric2 unique values
0 missing
D1658numeric2 unique values
0 missing
D123numeric199 unique values
0 missing
D379numeric8 unique values
0 missing
D635numeric4 unique values
0 missing
D891numeric15 unique values
0 missing
D1147numeric2 unique values
0 missing
D1403numeric2 unique values
0 missing
D1659numeric2 unique values
0 missing
D124numeric128 unique values
0 missing
D380numeric7 unique values
0 missing
D636numeric6 unique values
0 missing
D892numeric15 unique values
0 missing
D1148numeric2 unique values
0 missing
D1404numeric2 unique values
0 missing
D1660numeric2 unique values
0 missing
D125numeric80 unique values
0 missing
D381numeric6 unique values
0 missing
D637numeric6 unique values
0 missing
D893numeric11 unique values
0 missing
D1149numeric2 unique values
0 missing
D1405numeric2 unique values
0 missing
D1661numeric2 unique values
0 missing
D126numeric33 unique values
0 missing
D382numeric8 unique values
0 missing
D638numeric5 unique values
0 missing
D894numeric11 unique values
0 missing
D1150numeric2 unique values
0 missing
D1406numeric2 unique values
0 missing
D1662numeric2 unique values
0 missing
D127numeric7 unique values
0 missing
D383numeric6 unique values
0 missing
D639numeric7 unique values
0 missing
D895numeric10 unique values
0 missing
D1151numeric2 unique values
0 missing
D1407numeric2 unique values
0 missing
D1663numeric2 unique values
0 missing
D128numeric20 unique values
0 missing
D384numeric6 unique values
0 missing
D640numeric5 unique values
0 missing
D896numeric11 unique values
0 missing
D1152numeric2 unique values
0 missing
D1408numeric2 unique values
0 missing
D1664numeric2 unique values
0 missing
D129numeric14 unique values
0 missing
D385numeric6 unique values
0 missing
D641numeric4 unique values
0 missing
D897numeric10 unique values
0 missing
D1153numeric2 unique values
0 missing
D1409numeric2 unique values
0 missing
D1665numeric2 unique values
0 missing
D130numeric26 unique values
0 missing
D386numeric3 unique values
0 missing
D642numeric5 unique values
0 missing
D898numeric7 unique values
0 missing
D1154numeric2 unique values
0 missing
D1410numeric2 unique values
0 missing
D1666numeric2 unique values
0 missing
D131numeric32 unique values
0 missing
D387numeric4 unique values
0 missing
D643numeric4 unique values
0 missing
D899numeric14 unique values
0 missing
D1155numeric2 unique values
0 missing
D1411numeric2 unique values
0 missing
D1667numeric2 unique values
0 missing
D132numeric10 unique values
0 missing
D388numeric6 unique values
0 missing
D644numeric4 unique values
0 missing
D900numeric7 unique values
0 missing
D1156numeric2 unique values
0 missing
D1412numeric2 unique values
0 missing
D1668numeric2 unique values
0 missing
D133numeric11 unique values
0 missing
D389numeric5 unique values
0 missing
D645numeric4 unique values
0 missing
D901numeric8 unique values
0 missing
D1157numeric2 unique values
0 missing
D1413numeric2 unique values
0 missing
D1669numeric2 unique values
0 missing
D134numeric7 unique values
0 missing
D390numeric6 unique values
0 missing
D646numeric4 unique values
0 missing
D902numeric6 unique values
0 missing
D1158numeric2 unique values
0 missing
D1414numeric2 unique values
0 missing
D1670numeric2 unique values
0 missing
D135numeric13 unique values
0 missing
D391numeric9 unique values
0 missing
D647numeric5 unique values
0 missing
D903numeric7 unique values
0 missing
D1159numeric2 unique values
0 missing
D1415numeric2 unique values
0 missing
D1671numeric2 unique values
0 missing
D136numeric8 unique values
0 missing
D392numeric7 unique values
0 missing
D648numeric6 unique values
0 missing
D904numeric7 unique values
0 missing
D1160numeric2 unique values
0 missing
D1416numeric2 unique values
0 missing
D1672numeric2 unique values
0 missing
D137numeric14 unique values
0 missing
D393numeric7 unique values
0 missing
D649numeric11 unique values
0 missing
D905numeric6 unique values
0 missing
D1161numeric2 unique values
0 missing
D1417numeric2 unique values
0 missing
D1673numeric2 unique values
0 missing
D138numeric10 unique values
0 missing
D394numeric7 unique values
0 missing
D650numeric5 unique values
0 missing
D906numeric5 unique values
0 missing
D1162numeric2 unique values
0 missing
D1418numeric2 unique values
0 missing
D1674numeric2 unique values
0 missing
D139numeric27 unique values
0 missing
D395numeric5 unique values
0 missing
D651numeric6 unique values
0 missing
D907numeric7 unique values
0 missing
D1163numeric2 unique values
0 missing
D1419numeric2 unique values
0 missing
D1675numeric2 unique values
0 missing
D140numeric11 unique values
0 missing
D396numeric6 unique values
0 missing
D652numeric5 unique values
0 missing
D908numeric5 unique values
0 missing
D1164numeric2 unique values
0 missing
D1420numeric2 unique values
0 missing
D1676numeric2 unique values
0 missing
D141numeric11 unique values
0 missing
D397numeric6 unique values
0 missing
D653numeric9 unique values
0 missing
D909numeric5 unique values
0 missing
D1165numeric2 unique values
0 missing
D1421numeric2 unique values
0 missing
D1677numeric2 unique values
0 missing
D142numeric12 unique values
0 missing
D398numeric5 unique values
0 missing
D654numeric3 unique values
0 missing
D910numeric4 unique values
0 missing
D1166numeric2 unique values
0 missing
D1422numeric2 unique values
0 missing
D1678numeric2 unique values
0 missing
D143numeric21 unique values
0 missing
D399numeric10 unique values
0 missing
D655numeric4 unique values
0 missing
D911numeric73 unique values
0 missing
D1167numeric2 unique values
0 missing

62 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.
10.53
Third quartile of skewness among attributes of the numeric type.
61.25
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
6.25
First quartile of kurtosis among attributes of the numeric type.
0.25
Third quartile of standard deviation of attributes of the numeric type.
0.5
Maximum standard deviation of attributes of the numeric type.
45.77
Percentage of instances belonging to the least frequent class.
0.01
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
1717
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
162.45
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
2.48
First quartile of skewness among attributes of the numeric type.
0.09
Mean of means among attributes of the numeric type.
0.05
First quartile of standard deviation of attributes of the numeric type.
0.5
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
0.99
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
43.17
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.47
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
0.02
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
8.21
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
54.23
Percentage of instances belonging to the most frequent class.
0.16
Mean standard deviation of attributes of the numeric type.
6.28
Second quartile (Median) of skewness among attributes of the numeric type.
2034
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.11
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
0.06
Percentage of binary attributes.
Third quartile of entropy among attributes.
3751
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
144.56
Third quartile of kurtosis among attributes of the numeric type.
0.97
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
0.1
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
99.94
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
-31.46
Minimum skewness among attributes of the numeric type.
0.06
Percentage of nominal attributes.

17 tasks

16026 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: target
13311 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: target
9363 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: area_under_roc_curve - target_feature: target
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: target
0 runs - estimation_procedure: 33% Holdout set - target_feature: target
82 runs - estimation_procedure: 10-fold Learning Curve - target_feature: target
0 runs - target_feature: target
1298 runs - target_feature: target
1297 runs - target_feature: target
0 runs - target_feature: target
0 runs - target_feature: target
0 runs - target_feature: target
0 runs - target_feature: target
0 runs - target_feature: target
0 runs - target_feature: target
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