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ohscal.wc

ohscal.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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11466 features

CLASS_LABEL (target)nominal10 unique values
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suddennumeric7 unique values
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craniotominumeric5 unique values
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forcepnumeric4 unique values
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integrnumeric8 unique values
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piperazinnumeric3 unique values
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streptomycinnumeric5 unique values
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rdnumeric4 unique values
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hernianumeric7 unique values
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aequorinnumeric4 unique values
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relatednumeric3 unique values
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apexnumeric5 unique values
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occupnumeric9 unique values
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suffernumeric5 unique values
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suppressnumeric12 unique values
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transpositnumeric4 unique values
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epoxidnumeric3 unique values
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atomnumeric6 unique values
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bmtnumeric6 unique values
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circadiannumeric5 unique values
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cvdnumeric6 unique values
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appendicnumeric3 unique values
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immunoaffinnumeric3 unique values
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plaquenumeric9 unique values
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anisomycinnumeric3 unique values
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nitroblunumeric3 unique values
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glycoproteinnumeric11 unique values
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tetrahydrocannabinolnumeric3 unique values
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leukemnumeric9 unique values
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interruptnumeric4 unique values
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immunopositnumeric3 unique values
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attenunumeric7 unique values
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cingulnumeric5 unique values
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oncologinumeric4 unique values
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indispensnumeric3 unique values
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seventhnumeric3 unique values
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alveolarnumeric10 unique values
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paknumeric3 unique values
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alphanumeric22 unique values
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cisternanumeric3 unique values
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methionylnumeric3 unique values
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pneumocytnumeric3 unique values
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reassessnumeric2 unique values
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endonucleolytnumeric2 unique values
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harbornumeric3 unique values
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charcotnumeric3 unique values
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ileumnumeric5 unique values
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angiotensinnumeric13 unique values
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axillarinumeric7 unique values
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constitunumeric3 unique values
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gknumeric3 unique values
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renumeric4 unique values
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intellignumeric3 unique values
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muscimolnumeric5 unique values
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indurnumeric3 unique values
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fibrinopeptidnumeric3 unique values
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occurnumeric7 unique values
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antitrypsinnumeric6 unique values
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bloodinumeric4 unique values
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ahanumeric4 unique values
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atonnumeric2 unique values
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finalnumeric5 unique values
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nonreactnumeric4 unique values
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irradinumeric12 unique values
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gelnumeric9 unique values
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juvenilnumeric6 unique values
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seldingnumeric2 unique values
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atrianumeric7 unique values
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aerodigestnumeric4 unique values
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overloadnumeric6 unique values
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intralobarnumeric2 unique values
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seventinumeric3 unique values
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organnumeric7 unique values
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pamnumeric4 unique values
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walenumeric3 unique values
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exitnumeric4 unique values
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workforcnumeric3 unique values
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messagnumeric7 unique values
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imbalnumeric4 unique values
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proteunumeric3 unique values
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antineoplastnumeric2 unique values
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glnumeric3 unique values
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rfnumeric11 unique values
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instantannumeric3 unique values
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glycaemnumeric2 unique values
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subsitnumeric3 unique values
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encepha;numeric5 unique values
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chromograninnumeric6 unique values
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safestnumeric2 unique values
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sinonasnumeric3 unique values
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multifunctnumeric3 unique values
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bracketnumeric3 unique values
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elevennumeric3 unique values
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perforinnumeric4 unique values
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hognumeric2 unique values
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correlnumeric10 unique values
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categorinumeric6 unique values
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radicnumeric7 unique values
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extensornumeric6 unique values
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oesophagnumeric6 unique values
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malpositnumeric3 unique values
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fragilinumeric4 unique values
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missilnumeric4 unique values
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vertexnumeric3 unique values
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urinarinumeric8 unique values
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pannumeric5 unique values
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vasculaturnumeric3 unique values
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grownumeric4 unique values
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systematnumeric3 unique values
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preloadnumeric4 unique values
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commentarinumeric2 unique values
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protocolnumeric8 unique values
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surgeonnumeric6 unique values
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hyperpolarnumeric7 unique values
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dodecylnumeric4 unique values
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procreatnumeric2 unique values
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orthopaednumeric3 unique values
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adrenoreceptornumeric6 unique values
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inotropinumeric3 unique values
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carcinogennumeric5 unique values
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provennumeric4 unique values
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enumernumeric2 unique values
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hashimotonumeric3 unique values
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aqueounumeric4 unique values
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pcnanumeric4 unique values
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underlinumeric4 unique values
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maneuvnumeric4 unique values
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endovaginnumeric4 unique values
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unprecednumeric2 unique values
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easilinumeric3 unique values
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bmznumeric5 unique values
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ccdnumeric3 unique values
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waveformnumeric9 unique values
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hyperdiploidnumeric3 unique values
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eetnumeric4 unique values
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crossovnumeric4 unique values
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endoperoxidnumeric3 unique values
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vaginosinumeric4 unique values
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infarctnumeric13 unique values
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homnumeric4 unique values
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corpunumeric7 unique values
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gambiannumeric2 unique values
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prefernumeric6 unique values
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hastennumeric2 unique values
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sisternumeric4 unique values
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uninephrectominumeric2 unique values
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partinumeric3 unique values
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dysmorphnumeric3 unique values
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azoospermnumeric2 unique values
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eledoisinnumeric3 unique values
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mutismnumeric3 unique values
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spirometrinumeric3 unique values
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macroglobulinnumeric5 unique values
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tuberculinnumeric4 unique values
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indonumeric5 unique values
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ramifnumeric2 unique values
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criterianumeric6 unique values
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spontannumeric9 unique values
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macrolidnumeric3 unique values
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vivonumeric8 unique values
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modulnumeric8 unique values
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printnumeric2 unique values
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yttriumnumeric3 unique values
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gmnumeric13 unique values
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rhnumeric8 unique values
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vmaxnumeric5 unique values
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neurosecretnumeric2 unique values
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kpninumeric2 unique values
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tubenumeric10 unique values
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lobenumeric10 unique values
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primitnumeric5 unique values
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fortifinumeric3 unique values
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neoplasianumeric7 unique values
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pharmacotherapinumeric2 unique values
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neuralgianumeric4 unique values
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unrestrainnumeric2 unique values
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ccgnumeric3 unique values
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tracheoesophagnumeric3 unique values
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textbooknumeric2 unique values
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glycannumeric3 unique values
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eccrinnumeric2 unique values
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imprintnumeric3 unique values
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livebornnumeric3 unique values
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accrunumeric2 unique values
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logarithmnumeric3 unique values
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sendnumeric2 unique values
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orangnumeric3 unique values
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spectrophotometrinumeric2 unique values
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corticnumeric8 unique values
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fecalnumeric7 unique values
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esrdnumeric6 unique values
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methylprednisolonnumeric4 unique values
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angulnumeric3 unique values
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floornumeric4 unique values
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predictornumeric6 unique values
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paonumeric5 unique values
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walknumeric4 unique values
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pronasnumeric4 unique values
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recognnumeric7 unique values
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biventricularnumeric2 unique values
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upstreamnumeric4 unique values
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decreasnumeric8 unique values
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retromolarnumeric2 unique values
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penetrnumeric6 unique values
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yearlinumeric3 unique values
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compilnumeric2 unique values
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wheinumeric2 unique values
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evolutnumeric5 unique values
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gnnumeric3 unique values
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rinumeric8 unique values
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synchroninumeric3 unique values
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ultravioletnumeric5 unique values
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nonunionnumeric4 unique values
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invertebrnumeric4 unique values
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echinococcunumeric2 unique values
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carcinogenesinumeric4 unique values
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matrixnumeric10 unique values
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omphalocelnumeric6 unique values
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tuberculnumeric6 unique values
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preformnumeric3 unique values
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elliptocytosinumeric4 unique values
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ccknumeric10 unique values
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myotominumeric3 unique values
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unclenumeric3 unique values
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elemnumeric9 unique values
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principnumeric3 unique values
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urticarianumeric3 unique values
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hypocalcemnumeric4 unique values
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northernnumeric4 unique values
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hopnumeric2 unique values
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icanumeric9 unique values
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pulposunumeric3 unique values
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prekallikreinnumeric4 unique values
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ducknumeric6 unique values
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individunumeric10 unique values
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lrpnumeric4 unique values
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moribundnumeric3 unique values
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partnernumeric9 unique values
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procedurnumeric9 unique values
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loca;numeric3 unique values
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papnumeric8 unique values
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wallnumeric9 unique values
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pigmentosanumeric4 unique values
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retinoidnumeric5 unique values
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lendnumeric2 unique values
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refractorinumeric6 unique values
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tcanumeric4 unique values
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neurophysiolognumeric3 unique values
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intracavitarinumeric3 unique values
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symptomatologinumeric4 unique values
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precocinumeric3 unique values
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branchnumeric6 unique values
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recoverinumeric7 unique values
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gpnumeric6 unique values
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hamiltonnumeric3 unique values
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regulnumeric10 unique values
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deoxyribonucleasnumeric2 unique values
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acellularnumeric4 unique values
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creationnumeric2 unique values
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celiotominumeric3 unique values
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volatilnumeric3 unique values
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fetomaternnumeric5 unique values
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hbsagnumeric8 unique values
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coppernumeric4 unique values
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racenumeric5 unique values
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chieflinumeric2 unique values
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amountnumeric6 unique values
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nonmetabolnumeric2 unique values
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appendixnumeric5 unique values
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postprocedurnumeric2 unique values
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fissionnumeric3 unique values
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nasolabinumeric2 unique values
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pyridoxinnumeric4 unique values
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adenoidnumeric6 unique values
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hotnumeric4 unique values
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radionuclidnumeric4 unique values
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chemotherapinumeric13 unique values
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misdiagnosnumeric2 unique values
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pallidunumeric2 unique values
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spousenumeric5 unique values
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aminoglycosidnumeric4 unique values
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massachusetnumeric2 unique values
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arithmetnumeric2 unique values
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thainumeric3 unique values
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okinumeric3 unique values
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prolylnumeric5 unique values
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idiopathnumeric8 unique values
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polarnumeric6 unique values
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cathepsinnumeric6 unique values
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psychosocinumeric5 unique values
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interatrinumeric5 unique values
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endoglycosidasnumeric4 unique values
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aspartnumeric6 unique values
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ketonurianumeric3 unique values
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irritnumeric4 unique values
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antisensnumeric5 unique values
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maleatnumeric2 unique values
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reaccumulnumeric3 unique values
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grnumeric10 unique values
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bronchiectasinumeric4 unique values
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iliacnumeric6 unique values
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suspicinumeric2 unique values
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forskolinnumeric7 unique values
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malignnumeric9 unique values
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miliarinumeric4 unique values
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isoformnumeric10 unique values
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papainnumeric3 unique values
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dysesthesianumeric2 unique values
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aibnumeric3 unique values
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unanswnumeric2 unique values
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glycolytnumeric2 unique values
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urgentnumeric3 unique values
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lifelongnumeric2 unique values
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dognumeric11 unique values
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efanumeric5 unique values
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pluripotnumeric2 unique values
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myelomonocytnumeric4 unique values
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resonnumeric9 unique values
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reactogennumeric3 unique values
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keyholnumeric5 unique values
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paradoxnumeric3 unique values
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putamennumeric3 unique values
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radionumeric3 unique values
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hydroxyprolinnumeric4 unique values
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unrecognnumeric4 unique values
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mepyraminnumeric2 unique values
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hygiennumeric4 unique values
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lambdanumeric9 unique values
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invoknumeric2 unique values
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themselvnumeric3 unique values
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parnumeric4 unique values
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hbeagnumeric7 unique values
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hostnumeric7 unique values
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otolaryngologistnumeric2 unique values
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narcotnumeric4 unique values
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propernumeric4 unique values
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tccnumeric7 unique values
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meatenumeric4 unique values
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hematoxylinnumeric2 unique values
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anaemianumeric5 unique values
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refractnumeric5 unique values
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ontogennumeric2 unique values
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nonsensnumeric3 unique values
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gtnumeric6 unique values
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rmnumeric4 unique values
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shigellanumeric5 unique values
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fishernumeric4 unique values
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glycogennumeric4 unique values
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uremnumeric7 unique values
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coopernumeric5 unique values
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endogennumeric6 unique values
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convolutnumeric4 unique values
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halothannumeric12 unique values
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lightlinumeric3 unique values
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lidocainnumeric9 unique values
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brednumeric4 unique values
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ccrnumeric5 unique values
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shapenumeric6 unique values
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doinumeric5 unique values
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elevnumeric9 unique values
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discriminatorinumeric2 unique values
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enginnumeric4 unique values
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atypianumeric4 unique values
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mutantnumeric11 unique values
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aviannumeric5 unique values
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coeliacnumeric4 unique values
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polypropylennumeric3 unique values
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radiunumeric6 unique values
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ductnumeric10 unique values
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metastasnumeric10 unique values
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fosternumeric4 unique values
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dissolvnumeric5 unique values
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soundnumeric6 unique values
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immunogenetnumeric4 unique values
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unchargnumeric2 unique values
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oxotremorinnumeric5 unique values
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fundicnumeric2 unique values
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unlabelnumeric4 unique values
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comptonnumeric3 unique values
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polyribosylnumeric2 unique values
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noradrenalinnumeric5 unique values
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phenomenanumeric4 unique values
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mecanumeric4 unique values
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cornerstonnumeric2 unique values
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novembnumeric4 unique values
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brieflinumeric2 unique values
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venernumeric3 unique values
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electromagnetnumeric3 unique values
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effluxnumeric9 unique values
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hypothermnumeric4 unique values
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coadministrnumeric3 unique values
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norepinephrinnumeric11 unique values
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mmtvnumeric5 unique values
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comorbidnumeric5 unique values
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sensornumeric3 unique values
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quinidinnumeric5 unique values
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pneumonnumeric6 unique values
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fpanumeric4 unique values
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urodynamnumeric3 unique values
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deoxygennumeric3 unique values
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betaxololnumeric3 unique values
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contrastnumeric10 unique values
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antigennumeric16 unique values
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nitroglycerinnumeric4 unique values
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multinumeric5 unique values
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pyelonephrnumeric7 unique values
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accidentnumeric3 unique values
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ejectnumeric8 unique values
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audiolognumeric3 unique values
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randomisnumeric4 unique values
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gonadnumeric4 unique values
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employenumeric5 unique values
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atheromatnumeric3 unique values
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oxytocinnumeric11 unique values
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reversiblinumeric3 unique values
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stoichiometrinumeric3 unique values
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springnumeric3 unique values
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mazenumeric4 unique values
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hypotonnumeric2 unique values
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footpadnumeric2 unique values
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eosinnumeric2 unique values
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octogenariannumeric3 unique values
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irregularnumeric3 unique values
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tropicnumeric3 unique values
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firmlinumeric2 unique values
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hyperechonumeric3 unique values
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quinolinnumeric3 unique values
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pyridonumeric3 unique values
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chartnumeric3 unique values
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immunobiologinumeric2 unique values
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dosnumeric5 unique values
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listennumeric2 unique values
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acoustnumeric5 unique values
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glassnumeric3 unique values
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hemopoietnumeric6 unique values
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explannumeric3 unique values
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disproportnumeric3 unique values
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prostaglandinnumeric12 unique values
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tetramernumeric2 unique values
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cervicothoracnumeric3 unique values
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angiomyolipomanumeric4 unique values
0 missing
myelogennumeric5 unique values
0 missing
midnumeric5 unique values
0 missing
mimicnumeric3 unique values
0 missing
understandnumeric4 unique values
0 missing
thalamnumeric5 unique values
0 missing
oxalnumeric6 unique values
0 missing
intracerebroventricularnumeric5 unique values
0 missing
fundnumeric3 unique values
0 missing
safernumeric3 unique values
0 missing
clonotypnumeric4 unique values
0 missing
sonnumeric4 unique values
0 missing
aphaknumeric3 unique values
0 missing
eortcnumeric3 unique values
0 missing
seroprevalnumeric6 unique values
0 missing
moda;numeric4 unique values
0 missing
hornernumeric4 unique values
0 missing
plasmacytoidnumeric4 unique values
0 missing
vasculopathinumeric3 unique values
0 missing
hcnumeric6 unique values
0 missing
runumeric6 unique values
0 missing
debilitnumeric2 unique values
0 missing
hypoglycemnumeric3 unique values
0 missing
multifacetnumeric2 unique values
0 missing
voidnumeric5 unique values
0 missing
inwardnumeric5 unique values
0 missing
subpleurnumeric4 unique values
0 missing
bornnumeric8 unique values
0 missing
transactivnumeric6 unique values
0 missing
chlorisondaminnumeric2 unique values
0 missing
emesinumeric5 unique values
0 missing
boinumeric5 unique values
0 missing
cdcnumeric4 unique values
0 missing
radiosensitnumeric4 unique values
0 missing
dotnumeric4 unique values
0 missing
egfnumeric11 unique values
0 missing
arrainumeric6 unique values
0 missing
uninfectnumeric4 unique values
0 missing
nanomolnumeric3 unique values
0 missing
mammographnumeric5 unique values
0 missing
hpanumeric5 unique values
0 missing
sensnumeric2 unique values
0 missing
officnumeric5 unique values
0 missing
porenumeric5 unique values
0 missing
precisionnumeric3 unique values
0 missing
certifinumeric3 unique values
0 missing
thymocytnumeric12 unique values
0 missing
extraordinarinumeric2 unique values
0 missing
normalcinumeric2 unique values
0 missing
subfractnumeric4 unique values
0 missing
supportnumeric9 unique values
0 missing
pbcnumeric3 unique values
0 missing
taurocholnumeric4 unique values
0 missing
polymicrobinumeric3 unique values
0 missing
regularnumeric4 unique values
0 missing
envelopnumeric8 unique values
0 missing
benzodiazepinnumeric8 unique values
0 missing
tcrnumeric15 unique values
0 missing
flushnumeric4 unique values
0 missing
hypothyroidnumeric7 unique values
0 missing
intragastrnumeric3 unique values
0 missing
finnishnumeric3 unique values
0 missing
ritodrinnumeric8 unique values
0 missing
frozennumeric8 unique values
0 missing
hdnumeric10 unique values
0 missing
rvnumeric4 unique values
0 missing
fluoxetinnumeric3 unique values
0 missing
apneanumeric6 unique values
0 missing
inevitnumeric2 unique values
0 missing
retentnumeric6 unique values
0 missing
locinumeric4 unique values
0 missing
dialnumeric3 unique values
0 missing
constrainnumeric2 unique values
0 missing
decilnumeric2 unique values
0 missing
airnumeric10 unique values
0 missing
nonblindnumeric3 unique values
0 missing
shortestnumeric3 unique values
0 missing
cdhnumeric4 unique values
0 missing
backprojectnumeric3 unique values
0 missing
hypernumeric3 unique values
0 missing
postponnumeric2 unique values
0 missing
intrahepatnumeric5 unique values
0 missing
antituberculosinumeric3 unique values
0 missing
palsinumeric6 unique values
0 missing
producnumeric10 unique values
0 missing
lymphoprolifernumeric3 unique values
0 missing
sentnumeric3 unique values
0 missing
correspondinglinumeric2 unique values
0 missing
transductnumeric5 unique values
0 missing
asplenianumeric3 unique values
0 missing
densanumeric4 unique values
0 missing
allegnumeric2 unique values
0 missing
historinumeric9 unique values
0 missing
abdomennumeric3 unique values
0 missing
acetnumeric7 unique values
0 missing
oldnumeric4 unique values
0 missing
veratridinnumeric5 unique values
0 missing
dihydronumeric4 unique values
0 missing
phosphatidylinositolnumeric5 unique values
0 missing
regulatnumeric3 unique values
0 missing
carenumeric11 unique values
0 missing
decelernumeric5 unique values
0 missing
guidnumeric5 unique values
0 missing
inositolphospholipidnumeric3 unique values
0 missing
nucleotidnumeric8 unique values
0 missing
ambientnumeric4 unique values
0 missing
contraceptnumeric10 unique values
0 missing
priornumeric6 unique values
0 missing
diminishnumeric5 unique values
0 missing
hfnumeric3 unique values
0 missing
photolabelnumeric4 unique values
0 missing
airspacnumeric4 unique values
0 missing
supinnumeric5 unique values
0 missing
ivignumeric5 unique values
0 missing
phosphofructonumeric4 unique values
0 missing
locknumeric4 unique values
0 missing
chemoattractnumeric3 unique values
0 missing
arosnumeric3 unique values
0 missing
egtanumeric6 unique values
0 missing
fellnumeric4 unique values
0 missing
contradictorinumeric3 unique values
0 missing
carbohydrnumeric7 unique values
0 missing
achievnumeric5 unique values
0 missing
narrownumeric4 unique values
0 missing
particularlinumeric4 unique values
0 missing
clonogennumeric5 unique values
0 missing
burinumeric2 unique values
0 missing
biophysnumeric6 unique values
0 missing
quotientnumeric2 unique values
0 missing
groupnumeric3 unique values
0 missing
mildernumeric3 unique values
0 missing
icpnumeric4 unique values
0 missing
glomerulonephrnumeric6 unique values
0 missing
tonsilnumeric3 unique values
0 missing
gothenburgnumeric3 unique values
0 missing
pancytopenianumeric2 unique values
0 missing
peripartumnumeric4 unique values
0 missing
sucklnumeric7 unique values
0 missing
californianumeric5 unique values
0 missing
insulinomanumeric4 unique values
0 missing
localnumeric9 unique values
0 missing
birthnumeric11 unique values
0 missing
pwmnumeric6 unique values
0 missing
locoregionnumeric4 unique values
0 missing
rccnumeric5 unique values
0 missing
oxaloacetnumeric3 unique values
0 missing
becknumeric3 unique values
0 missing
aphasnumeric3 unique values
0 missing
supraspinnumeric3 unique values
0 missing
echocardiographinumeric6 unique values
0 missing
mosquitonumeric5 unique values
0 missing
stimulunumeric6 unique values
0 missing
adenovirunumeric5 unique values
0 missing
salinnumeric7 unique values
0 missing
actinnumeric12 unique values
0 missing
rxnumeric2 unique values
0 missing
salmonellanumeric4 unique values
0 missing
parasitemianumeric5 unique values
0 missing
hydroxyindoleacetnumeric2 unique values
0 missing
epididymnumeric2 unique values
0 missing
loconumeric3 unique values
0 missing
candidemianumeric4 unique values
0 missing
mycoplasmanumeric6 unique values
0 missing
columnarnumeric4 unique values
0 missing
biologinumeric4 unique values
0 missing
thrombinumeric8 unique values
0 missing
haptennumeric4 unique values
0 missing
immunochemnumeric4 unique values
0 missing
amiodaronnumeric8 unique values
0 missing
creepnumeric3 unique values
0 missing
neuritnumeric6 unique values
0 missing
medicarnumeric4 unique values
0 missing
enterotoxinnumeric4 unique values
0 missing
pretransfusnumeric3 unique values
0 missing
atheromanumeric5 unique values
0 missing
stratifnumeric4 unique values
0 missing
atopinumeric4 unique values
0 missing
methylguaninnumeric4 unique values
0 missing
nullnumeric4 unique values
0 missing
dopplernumeric8 unique values
0 missing
plateaunumeric6 unique values
0 missing
allelnumeric11 unique values
0 missing
minnumeric12 unique values
0 missing
iiianumeric8 unique values
0 missing
singlenumeric8 unique values
0 missing
dosagnumeric6 unique values
0 missing
synthasnumeric7 unique values
0 missing
mandiblnumeric4 unique values
0 missing
varicnumeric7 unique values
0 missing
representnumeric3 unique values
0 missing
ensuenumeric2 unique values
0 missing
columbunumeric2 unique values
0 missing
communnumeric7 unique values
0 missing
notifinumeric3 unique values
0 missing
agentnumeric9 unique values
0 missing
neovascularnumeric6 unique values
0 missing
rhodopsinnumeric7 unique values
0 missing
thoroughnumeric2 unique values
0 missing
fallotnumeric4 unique values
0 missing
hgnumeric9 unique values
0 missing
brainnumeric12 unique values
0 missing
immunoscintigraphnumeric2 unique values
0 missing
semiquantitnumeric4 unique values
0 missing
virionnumeric4 unique values
0 missing
distractnumeric4 unique values
0 missing
monocularnumeric2 unique values
0 missing
pdgfnumeric13 unique values
0 missing
cytochemnumeric3 unique values
0 missing
bicepnumeric4 unique values
0 missing
immigrnumeric5 unique values
0 missing
movenumeric3 unique values
0 missing
bopnumeric4 unique values
0 missing
ganglianumeric6 unique values
0 missing
amplitudnumeric8 unique values
0 missing
derangnumeric2 unique values
0 missing
phenotypnumeric10 unique values
0 missing
brachialnumeric3 unique values
0 missing
cascadnumeric4 unique values
0 missing
ggtnumeric3 unique values
0 missing
osteoporotnumeric5 unique values
0 missing
hpfnumeric2 unique values
0 missing
neuraminidasnumeric3 unique values
0 missing
fibrillarnumeric3 unique values
0 missing
calciumnumeric15 unique values
0 missing
gravitinumeric2 unique values
0 missing
fortuitnumeric2 unique values
0 missing
oedemanumeric4 unique values
0 missing
situnumeric8 unique values
0 missing
archivnumeric3 unique values
0 missing
outsetnumeric2 unique values
0 missing
capturnumeric5 unique values
0 missing
milestonnumeric3 unique values
0 missing
endotoxinnumeric10 unique values
0 missing
thrombosinumeric8 unique values
0 missing
poisonnumeric6 unique values
0 missing
expectantlinumeric2 unique values
0 missing
kryptonnumeric3 unique values
0 missing
purpuranumeric6 unique values
0 missing
simplenumeric5 unique values
0 missing
halvenumeric2 unique values
0 missing
immunopurifinumeric3 unique values
0 missing
procollagennumeric5 unique values
0 missing
rectumnumeric6 unique values
0 missing
receptornumeric20 unique values
0 missing
hlnumeric6 unique values
0 missing
ethicnumeric7 unique values
0 missing
armamentariumnumeric2 unique values
0 missing
determinnumeric8 unique values
0 missing
copenhagennumeric3 unique values
0 missing
turtlenumeric3 unique values
0 missing
resumptnumeric3 unique values
0 missing
italiannumeric3 unique values
0 missing
antioxidnumeric4 unique values
0 missing
gazenumeric2 unique values
0 missing
saccharomycnumeric3 unique values
0 missing
renewnumeric4 unique values
0 missing
phosphonumeric2 unique values
0 missing
formulnumeric4 unique values
0 missing
endometrinumeric8 unique values
0 missing
precancernumeric4 unique values
0 missing
plethysmographinumeric3 unique values
0 missing
axonnumeric6 unique values
0 missing
southeastnumeric5 unique values
0 missing
urticarinumeric3 unique values
0 missing
ploidinumeric7 unique values
0 missing
hplnumeric4 unique values
0 missing
icunumeric4 unique values
0 missing
nonviablnumeric3 unique values
0 missing
specifinumeric4 unique values
0 missing
hydrochlorothiazidnumeric3 unique values
0 missing
densenumeric4 unique values
0 missing
sphericnumeric2 unique values
0 missing
versatilnumeric2 unique values
0 missing
iiibnumeric3 unique values
0 missing
phototoxnumeric3 unique values
0 missing
pinpointnumeric2 unique values
0 missing
ketonumeric6 unique values
0 missing
sicklenumeric5 unique values
0 missing
aromatasnumeric6 unique values
0 missing
malignanumeric3 unique values
0 missing
nairobinumeric3 unique values
0 missing
plantarinumeric4 unique values
0 missing
sourcenumeric6 unique values
0 missing
wedgenumeric4 unique values
0 missing
adnexnumeric4 unique values
0 missing
pelletnumeric5 unique values
0 missing
semisynthetnumeric3 unique values
0 missing
postdurnumeric3 unique values
0 missing
fingerprintnumeric6 unique values
0 missing
hmnumeric5 unique values
0 missing
sanumeric7 unique values
0 missing
didecanonumeric2 unique values
0 missing
pagenumeric5 unique values
0 missing
counselnumeric5 unique values
0 missing
abundantlinumeric2 unique values
0 missing
hyperdensnumeric2 unique values
0 missing
omentnumeric4 unique values
0 missing
strongestnumeric3 unique values
0 missing
decisnumeric2 unique values
0 missing
storagnumeric6 unique values
0 missing
thrombunumeric6 unique values
0 missing
coincubnumeric3 unique values
0 missing
dermatologinumeric3 unique values
0 missing
regenernumeric6 unique values
0 missing
backgroundnumeric4 unique values
0 missing
denmarknumeric3 unique values
0 missing
precipitinnumeric4 unique values
0 missing
presumptnumeric3 unique values
0 missing
ctalnumeric3 unique values
0 missing
roughnumeric3 unique values
0 missing
sarcomanumeric8 unique values
0 missing
glycerolnumeric5 unique values
0 missing
panelistnumeric4 unique values
0 missing
endometrioidnumeric2 unique values
0 missing
myelopathinumeric4 unique values
0 missing
radioligandnumeric4 unique values
0 missing
disappointnumeric3 unique values
0 missing
institutionnumeric6 unique values
0 missing
georgianumeric3 unique values
0 missing
singlinumeric3 unique values
0 missing
disposnumeric3 unique values
0 missing
pcanumeric7 unique values
0 missing
urethranumeric5 unique values
0 missing
mistakennumeric3 unique values
0 missing
yellownumeric4 unique values
0 missing
pursuenumeric2 unique values
0 missing
salpingonumeric3 unique values
0 missing
sponsornumeric3 unique values
0 missing
extravasnumeric5 unique values
0 missing
0numeric37 unique values
0 missing
insolublnumeric4 unique values
0 missing
predominnumeric3 unique values
0 missing
sarcoplasmnumeric7 unique values
0 missing
eighteennumeric2 unique values
0 missing
trannumeric6 unique values
0 missing
scnumeric10 unique values
0 missing
analnumeric6 unique values
0 missing
convalescnumeric3 unique values
0 missing
amplifnumeric8 unique values
0 missing
nucleicnumeric5 unique values
0 missing
locunumeric7 unique values
0 missing
iodocyanopindololnumeric2 unique values
0 missing
isocyannumeric4 unique values
0 missing
largestnumeric3 unique values
0 missing
expensnumeric3 unique values
0 missing
chasenumeric2 unique values
0 missing
unaltnumeric3 unique values
0 missing
contributnumeric5 unique values
0 missing
dpdpenumeric6 unique values
0 missing
dplnumeric4 unique values
0 missing
galnacnumeric4 unique values
0 missing
burnnumeric9 unique values
0 missing
fplnumeric3 unique values
0 missing
englnumeric2 unique values
0 missing
igfbpnumeric9 unique values
0 missing
endovascularnumeric3 unique values
0 missing
icvnumeric5 unique values
0 missing
chinanumeric4 unique values
0 missing
hemangiopericytomanumeric5 unique values
0 missing
pursunumeric2 unique values
0 missing
nitrogennumeric6 unique values
0 missing
succeednumeric2 unique values
0 missing
miunumeric3 unique values
0 missing
iiicnumeric3 unique values
0 missing
gunshotnumeric4 unique values
0 missing
locatnumeric6 unique values
0 missing
dermalnumeric7 unique values
0 missing
carpetnumeric2 unique values
0 missing
paralytnumeric2 unique values
0 missing
technicnumeric5 unique values
0 missing
testenumeric5 unique values
0 missing
amniocentesinumeric7 unique values
0 missing
canadanumeric3 unique values
0 missing
simplinumeric2 unique values
0 missing
placemnumeric7 unique values
0 missing
myogennumeric6 unique values
0 missing
limbnumeric8 unique values
0 missing
muralnumeric4 unique values
0 missing
manganesnumeric2 unique values
0 missing
honumeric3 unique values
0 missing
sdnumeric8 unique values
0 missing
glaucomatnumeric4 unique values
0 missing
oddinumeric3 unique values
0 missing

107 properties

11162
Number of instances (rows) of the dataset.
11466
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.
11465
Number of numeric attributes.
1
Number of nominal attributes.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
4.37
Minimum kurtosis among attributes of the numeric type.
0
Second quartile (Median) of means among attributes of the numeric type.
0.31
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.76
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
11009.33
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.11
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
1.82
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
47.18
Second quartile (Median) of skewness among attributes of the numeric type.
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
1.03
Number of attributes divided by the number of instances.
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
Percentage of binary attributes.
0.06
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.71
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.
10
The maximum number of distinct values among attributes of the nominal type.
2.04
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
104.61
Maximum skewness among attributes of the numeric type.
0.02
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
4110.74
Third quartile of kurtosis among attributes of the numeric type.
0.32
Average class difference between consecutive instances.
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
4.11
Maximum standard deviation of attributes of the numeric type.
6.35
Percentage of instances belonging to the least frequent class.
99.99
Percentage of numeric attributes.
0.01
Third quartile of means among attributes of the numeric type.
0.88
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
0.71
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
709
Number of instances belonging to the least frequent class.
0.01
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.32
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
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
2888.26
Mean kurtosis among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
60.98
Third quartile of skewness among attributes of the numeric type.
0.64
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
0.88
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
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.01
Mean of means among attributes of the numeric type.
0.38
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
1006.13
First quartile of kurtosis among attributes of the numeric type.
0.12
Third quartile of standard deviation of attributes of the numeric type.
0.32
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
0.71
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.58
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of means among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.64
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
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.85
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.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.31
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.88
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
Standard deviation of the number of distinct values among attributes of the nominal type.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
10
Average number of distinct values among the attributes of the nominal type.
29.22
First quartile of skewness among attributes of the numeric type.
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.32
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
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
46.36
Mean skewness among attributes of the numeric type.
0.03
First quartile of standard deviation of attributes of the numeric type.
0.31
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.64
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
0.82
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
14.52
Percentage of instances belonging to the most frequent class.
0.1
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.66
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
3.28
Entropy of the target attribute values.
0.07
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
1621
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
2452.08
Second quartile (Median) of kurtosis among attributes of the numeric type.

63 tasks

158 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
29 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
29 runs - estimation_procedure: 10-fold Learning Curve - target_feature: CLASS_LABEL
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
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0 runs - target_feature: CLASS_LABEL
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0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
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