Data
micro-mass

micro-mass

active ARFF Publicly available Visibility: public Uploaded 01-06-2015 by Rafael G. Mantovani
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Author: Pierre Mahé, Jean-Baptiste Veyrieras Source: UCI Please cite: * Dataset Title: MicroMass - Mixed (mixed spectra version) * Abstract: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data. * Source: Pierre Mahé, pierre.mahe '@' biomerieux.com, bioMérieux Jean-Baptiste Veyrieras, jean-baptiste.veyrieras '@' biomerieux.com, bioMérieux * Data Set Information: This MALDI-TOF dataset consists in: A) A reference panel of 20 Gram positive and negative bacterial species covering 9 genera among which several species are known to be hard to discriminate by mass spectrometry (MALDI-TOF). Each species was represented by 11 to 60 mass spectra obtained from 7 to 20 bacterial strains, constituting altogether a dataset of 571 spectra obtained from 213 strains. The spectra were obtained according to the standard culture-based workflow used in clinical routine in which the microorganism was first grown on an agar plate for 24 to 48 hours, before a portion of colony was picked, spotted on a MALDI slide and a mass spectrum was acquired. B) Based on this reference panel, a dedicated in vitro mock-up mixture dataset was constituted. For that purpose we considered 10 pairs of species of various taxonomic proximity: * 4 mixtures, labelled A, B, C and D, involved species that belong to the same genus, * 2 mixtures, labelled E and F, involved species that belong to distinct genera, but to the same Gram type, * 4 mixtures, labelled G, H, I and J, involved species that belong to distinct Gram types. Each mixture was represented by 2 pairs of strains, which were mixed according to the following 9 concentration ratios : 1:0, 10:1, 5:1, 2:1, 1:1, 1:2, 1:5, 1:10, 0:1. Two replicate spectra were acquired for each concentration ratio and each couple of strains, leading altogether to a dataset of 360 spectra, among which 80 are actually pure sample spectra. * Relevant Papers: Mahé et al. (2014). Automatic identification of mixed bacterial species fingerprints in a MALDI-TOF mass-spectrum. Bioinformatics. Vervier et al., A benchmark of support vector machines strategies for microbial identification by mass-spectrometry data, submitted

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V888numeric159 unique values
0 missing
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0 missing
V377numeric10 unique values
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V1146numeric74 unique values
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V123numeric12 unique values
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V635numeric66 unique values
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V891numeric83 unique values
0 missing
V1147numeric36 unique values
0 missing
V124numeric16 unique values
0 missing
V380numeric3 unique values
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V892numeric82 unique values
0 missing
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0 missing
V125numeric23 unique values
0 missing
V381numeric50 unique values
0 missing
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V893numeric38 unique values
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V126numeric1 unique values
0 missing
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0 missing
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V894numeric28 unique values
0 missing
V1150numeric86 unique values
0 missing
V127numeric29 unique values
0 missing
V383numeric15 unique values
0 missing
V639numeric86 unique values
0 missing
V895numeric1 unique values
0 missing
V1151numeric152 unique values
0 missing
V128numeric150 unique values
0 missing
V384numeric22 unique values
0 missing
V640numeric1 unique values
0 missing
V896numeric78 unique values
0 missing
V1152numeric5 unique values
0 missing
V129numeric1 unique values
0 missing
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0 missing
V1153numeric10 unique values
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V130numeric30 unique values
0 missing
V386numeric1 unique values
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0 missing
V898numeric5 unique values
0 missing
V1154numeric12 unique values
0 missing
V131numeric68 unique values
0 missing
V387numeric31 unique values
0 missing
V643numeric63 unique values
0 missing
V899numeric1 unique values
0 missing
V1155numeric4 unique values
0 missing
V132numeric94 unique values
0 missing
V388numeric5 unique values
0 missing
V644numeric3 unique values
0 missing
V900numeric1 unique values
0 missing
V1156numeric55 unique values
0 missing
V133numeric14 unique values
0 missing
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0 missing
V645numeric14 unique values
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V901numeric39 unique values
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V1157numeric39 unique values
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V134numeric2 unique values
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V1158numeric24 unique values
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V135numeric14 unique values
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V391numeric3 unique values
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V647numeric1 unique values
0 missing
V903numeric84 unique values
0 missing
V1159numeric62 unique values
0 missing
V136numeric1 unique values
0 missing
V392numeric57 unique values
0 missing
V648numeric57 unique values
0 missing
V904numeric25 unique values
0 missing
V1160numeric72 unique values
0 missing
V137numeric9 unique values
0 missing
V393numeric84 unique values
0 missing
V649numeric144 unique values
0 missing
V905numeric18 unique values
0 missing
V1161numeric56 unique values
0 missing
V138numeric49 unique values
0 missing
V394numeric1 unique values
0 missing
V650numeric79 unique values
0 missing
V906numeric101 unique values
0 missing
V1162numeric1 unique values
0 missing
V139numeric2 unique values
0 missing
V395numeric1 unique values
0 missing
V651numeric141 unique values
0 missing
V907numeric1 unique values
0 missing
V1163numeric99 unique values
0 missing
V140numeric20 unique values
0 missing
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0 missing
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V1164numeric13 unique values
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V141numeric18 unique values
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V397numeric22 unique values
0 missing
V653numeric2 unique values
0 missing
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0 missing
V1165numeric70 unique values
0 missing
V142numeric5 unique values
0 missing
V398numeric43 unique values
0 missing
V654numeric1 unique values
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V910numeric46 unique values
0 missing
V1166numeric1 unique values
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V143numeric64 unique values
0 missing
V399numeric221 unique values
0 missing
V655numeric75 unique values
0 missing
V911numeric88 unique values
0 missing
V1167numeric1 unique values
0 missing
V144numeric1 unique values
0 missing
V400numeric119 unique values
0 missing
V656numeric27 unique values
0 missing
V912numeric62 unique values
0 missing
V1168numeric46 unique values
0 missing
V145numeric4 unique values
0 missing
V401numeric53 unique values
0 missing
V657numeric6 unique values
0 missing
V913numeric11 unique values
0 missing
V1169numeric99 unique values
0 missing
V146numeric2 unique values
0 missing
V402numeric29 unique values
0 missing
V658numeric28 unique values
0 missing
V914numeric21 unique values
0 missing
V1170numeric86 unique values
0 missing
V147numeric40 unique values
0 missing
V403numeric46 unique values
0 missing
V659numeric28 unique values
0 missing
V915numeric1 unique values
0 missing
V1171numeric15 unique values
0 missing
V148numeric9 unique values
0 missing
V404numeric43 unique values
0 missing
V660numeric7 unique values
0 missing
V916numeric13 unique values
0 missing
V1172numeric21 unique values
0 missing
V149numeric2 unique values
0 missing
V405numeric1 unique values
0 missing
V661numeric31 unique values
0 missing
V917numeric14 unique values
0 missing
V1173numeric3 unique values
0 missing
V150numeric45 unique values
0 missing
V406numeric142 unique values
0 missing
V662numeric8 unique values
0 missing
V918numeric15 unique values
0 missing
V1174numeric1 unique values
0 missing
V151numeric20 unique values
0 missing
V407numeric31 unique values
0 missing
V663numeric8 unique values
0 missing
V919numeric123 unique values
0 missing
V1175numeric22 unique values
0 missing
V152numeric152 unique values
0 missing
V408numeric58 unique values
0 missing
V664numeric4 unique values
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V920numeric87 unique values
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V1176numeric22 unique values
0 missing
V153numeric65 unique values
0 missing
V409numeric95 unique values
0 missing
V665numeric54 unique values
0 missing
V921numeric4 unique values
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V1177numeric33 unique values
0 missing
V154numeric69 unique values
0 missing
V410numeric23 unique values
0 missing
V666numeric35 unique values
0 missing
V922numeric28 unique values
0 missing
V1178numeric6 unique values
0 missing
V155numeric7 unique values
0 missing
V411numeric3 unique values
0 missing
V667numeric13 unique values
0 missing
V923numeric52 unique values
0 missing
V1179numeric41 unique values
0 missing
V156numeric30 unique values
0 missing
V412numeric40 unique values
0 missing
V668numeric1 unique values
0 missing
V924numeric1 unique values
0 missing
V1180numeric61 unique values
0 missing
V157numeric71 unique values
0 missing
V413numeric1 unique values
0 missing
V669numeric1 unique values
0 missing
V925numeric53 unique values
0 missing
V1181numeric188 unique values
0 missing
V158numeric71 unique values
0 missing
V414numeric159 unique values
0 missing
V670numeric47 unique values
0 missing
V926numeric1 unique values
0 missing
V1182numeric34 unique values
0 missing
V159numeric83 unique values
0 missing
V415numeric118 unique values
0 missing
V671numeric153 unique values
0 missing
V927numeric2 unique values
0 missing
V1183numeric43 unique values
0 missing
V160numeric1 unique values
0 missing
V416numeric62 unique values
0 missing
V672numeric73 unique values
0 missing
V928numeric1 unique values
0 missing
V1184numeric53 unique values
0 missing
V161numeric19 unique values
0 missing
V417numeric16 unique values
0 missing
V673numeric105 unique values
0 missing
V929numeric77 unique values
0 missing
V1185numeric18 unique values
0 missing
V162numeric2 unique values
0 missing
V418numeric70 unique values
0 missing
V674numeric30 unique values
0 missing
V930numeric1 unique values
0 missing
V1186numeric7 unique values
0 missing
V163numeric5 unique values
0 missing
V419numeric1 unique values
0 missing
V675numeric48 unique values
0 missing
V931numeric1 unique values
0 missing
V1187numeric15 unique values
0 missing
V164numeric10 unique values
0 missing
V420numeric77 unique values
0 missing
V676numeric1 unique values
0 missing
V932numeric6 unique values
0 missing
V1188numeric59 unique values
0 missing
V165numeric3 unique values
0 missing
V421numeric31 unique values
0 missing
V677numeric15 unique values
0 missing
V933numeric1 unique values
0 missing
V1189numeric22 unique values
0 missing
V166numeric73 unique values
0 missing
V422numeric132 unique values
0 missing
V678numeric100 unique values
0 missing
V934numeric1 unique values
0 missing
V1190numeric1 unique values
0 missing
V167numeric33 unique values
0 missing
V423numeric96 unique values
0 missing
V679numeric25 unique values
0 missing
V935numeric80 unique values
0 missing
V1191numeric9 unique values
0 missing
V168numeric1 unique values
0 missing
V424numeric34 unique values
0 missing
V680numeric1 unique values
0 missing
V936numeric59 unique values
0 missing
V1192numeric87 unique values
0 missing
V169numeric33 unique values
0 missing
V425numeric89 unique values
0 missing
V681numeric80 unique values
0 missing
V937numeric147 unique values
0 missing
V1193numeric1 unique values
0 missing
V170numeric44 unique values
0 missing
V426numeric5 unique values
0 missing
V682numeric118 unique values
0 missing
V938numeric89 unique values
0 missing
V1194numeric1 unique values
0 missing
V171numeric171 unique values
0 missing
V427numeric4 unique values
0 missing
V683numeric1 unique values
0 missing
V939numeric17 unique values
0 missing
V1195numeric74 unique values
0 missing
V172numeric43 unique values
0 missing
V428numeric1 unique values
0 missing
V684numeric127 unique values
0 missing
V940numeric50 unique values
0 missing
V1196numeric1 unique values
0 missing
V173numeric54 unique values
0 missing
V429numeric1 unique values
0 missing
V685numeric63 unique values
0 missing
V941numeric15 unique values
0 missing
V1197numeric26 unique values
0 missing
V174numeric53 unique values
0 missing
V430numeric193 unique values
0 missing
V686numeric61 unique values
0 missing
V942numeric70 unique values
0 missing
V1198numeric28 unique values
0 missing
V175numeric7 unique values
0 missing
V431numeric4 unique values
0 missing
V687numeric1 unique values
0 missing
V943numeric45 unique values
0 missing
V1199numeric1 unique values
0 missing
V176numeric66 unique values
0 missing
V432numeric6 unique values
0 missing
V688numeric51 unique values
0 missing
V944numeric4 unique values
0 missing
V1200numeric86 unique values
0 missing
V177numeric55 unique values
0 missing
V433numeric3 unique values
0 missing
V689numeric144 unique values
0 missing
V945numeric57 unique values
0 missing
V1201numeric1 unique values
0 missing
V178numeric171 unique values
0 missing
V434numeric3 unique values
0 missing
V690numeric10 unique values
0 missing
V946numeric1 unique values
0 missing
V1202numeric5 unique values
0 missing
V179numeric1 unique values
0 missing
V435numeric39 unique values
0 missing
V691numeric1 unique values
0 missing
V947numeric44 unique values
0 missing
V1203numeric1 unique values
0 missing
V180numeric47 unique values
0 missing
V436numeric1 unique values
0 missing
V692numeric43 unique values
0 missing
V948numeric41 unique values
0 missing
V1204numeric22 unique values
0 missing
V181numeric4 unique values
0 missing
V437numeric7 unique values
0 missing
V693numeric131 unique values
0 missing
V949numeric7 unique values
0 missing
V1205numeric73 unique values
0 missing
V182numeric1 unique values
0 missing
V438numeric12 unique values
0 missing
V694numeric100 unique values
0 missing
V950numeric67 unique values
0 missing
V1206numeric10 unique values
0 missing
V183numeric4 unique values
0 missing
V439numeric20 unique values
0 missing
V695numeric240 unique values
0 missing
V951numeric5 unique values
0 missing
V1207numeric1 unique values
0 missing
V184numeric7 unique values
0 missing
V440numeric17 unique values
0 missing
V696numeric1 unique values
0 missing
V952numeric2 unique values
0 missing
V1208numeric5 unique values
0 missing
V185numeric5 unique values
0 missing
V441numeric112 unique values
0 missing
V697numeric53 unique values
0 missing
V953numeric127 unique values
0 missing
V1209numeric13 unique values
0 missing
V186numeric90 unique values
0 missing
V442numeric38 unique values
0 missing
V698numeric20 unique values
0 missing
V954numeric35 unique values
0 missing
V1210numeric26 unique values
0 missing
V187numeric7 unique values
0 missing
V443numeric6 unique values
0 missing
V699numeric10 unique values
0 missing
V955numeric74 unique values
0 missing
V1211numeric5 unique values
0 missing
V188numeric24 unique values
0 missing
V444numeric93 unique values
0 missing
V700numeric8 unique values
0 missing
V956numeric1 unique values
0 missing
V1212numeric96 unique values
0 missing
V189numeric55 unique values
0 missing
V445numeric11 unique values
0 missing
V701numeric51 unique values
0 missing
V957numeric70 unique values
0 missing
V1213numeric29 unique values
0 missing
V190numeric31 unique values
0 missing
V446numeric177 unique values
0 missing
V702numeric2 unique values
0 missing
V958numeric104 unique values
0 missing
V1214numeric11 unique values
0 missing
V191numeric31 unique values
0 missing
V447numeric4 unique values
0 missing
V703numeric8 unique values
0 missing
V959numeric8 unique values
0 missing
V1215numeric183 unique values
0 missing
V192numeric131 unique values
0 missing
V448numeric2 unique values
0 missing
V704numeric42 unique values
0 missing
V960numeric67 unique values
0 missing
V1216numeric6 unique values
0 missing
V193numeric1 unique values
0 missing
V449numeric72 unique values
0 missing
V705numeric31 unique values
0 missing
V961numeric19 unique values
0 missing
V1217numeric2 unique values
0 missing
V194numeric17 unique values
0 missing
V450numeric3 unique values
0 missing
V706numeric43 unique values
0 missing
V962numeric3 unique values
0 missing
V1218numeric1 unique values
0 missing
V195numeric64 unique values
0 missing
V451numeric27 unique values
0 missing
V707numeric10 unique values
0 missing
V963numeric3 unique values
0 missing
V1219numeric66 unique values
0 missing
V196numeric9 unique values
0 missing
V452numeric11 unique values
0 missing
V708numeric1 unique values
0 missing
V964numeric99 unique values
0 missing

62 properties

360
Number of instances (rows) of the dataset.
1301
Number of attributes (columns) of the dataset.
10
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.
1300
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
19624.05
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.07
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
360
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
127.64
Third quartile of kurtosis among attributes of the numeric type.
1415279.42
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.92
Percentage of numeric attributes.
29115.72
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
10
The minimal number of distinct values among attributes of the nominal type.
0.08
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
10
The maximum number of distinct values among attributes of the nominal type.
1.09
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
10.71
Third quartile of skewness among attributes of the numeric type.
18.97
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
24.29
First quartile of kurtosis among attributes of the numeric type.
108883.56
Third quartile of standard deviation of attributes of the numeric type.
5001259.47
Maximum standard deviation of attributes of the numeric type.
10
Percentage of instances belonging to the least frequent class.
84.98
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.
36
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
95.98
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
4.66
First quartile of skewness among attributes of the numeric type.
45702.37
Mean of means among attributes of the numeric type.
1086.88
First quartile of standard deviation of attributes of the numeric type.
0.97
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
3.32
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.
50.56
Second quartile (Median) of kurtosis among attributes of the numeric type.
3.61
Number of attributes divided by the number of instances.
10
Average number of distinct values among the attributes of the nominal type.
3734.59
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.
8.19
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
10
Percentage of instances belonging to the most frequent class.
139708.17
Mean standard deviation of attributes of the numeric type.
6.74
Second quartile (Median) of skewness among attributes of the numeric type.
36
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

5 tasks

64 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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