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arrhythmia

arrhythmia

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Author: H. Altay Guvenir, Burak Acar, Haldun Muderrisoglu Source: [UCI](https://archive.ics.uci.edu/ml/datasets/arrhythmia) Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Cardiac Arrhythmia Database The aim is to determine the type of arrhythmia from the ECG recordings. This database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay Guvenir: "The aim is to distinguish between the presence and absence of cardiac arrhythmia and to classify it in one of the 16 groups. Class 01 refers to 'normal' ECG classes, 02 to 15 refers to different classes of arrhythmia and class 16 refers to the rest of unclassified ones. For the time being, there exists a computer program that makes such a classification. However, there are differences between the cardiologist's and the program's classification. Taking the cardiologist's as a gold standard we aim to minimize this difference by means of machine learning tools. The names and id numbers of the patients were recently removed from the database. ### Attribute Information 1 Age: Age in years , linear 2 Sex: Sex (0 = male; 1 = female) , nominal 3 Height: Height in centimeters , linear 4 Weight: Weight in kilograms , linear 5 QRS duration: Average of QRS duration in msec., linear 6 P-R interval: Average duration between onset of P and Q waves in msec., linear 7 Q-T interval: Average duration between onset of Q and offset of T waves in msec., linear 8 T interval: Average duration of T wave in msec., linear 9 P interval: Average duration of P wave in msec., linear Vector angles in degrees on front plane of:, linear 10 QRS 11 T 12 P 13 QRST 14 J 15 Heart rate: Number of heart beats per minute ,linear Of channel DI: Average width, in msec., of: linear 16 Q wave 17 R wave 18 S wave 19 R' wave, small peak just after R 20 S' wave 21 Number of intrinsic deflections, linear 22 Existence of ragged R wave, nominal 23 Existence of diphasic derivation of R wave, nominal 24 Existence of ragged P wave, nominal 25 Existence of diphasic derivation of P wave, nominal 26 Existence of ragged T wave, nominal 27 Existence of diphasic derivation of T wave, nominal Of channel DII: 28 .. 39 (similar to 16 .. 27 of channel DI) Of channels DIII: 40 .. 51 Of channel AVR: 52 .. 63 Of channel AVL: 64 .. 75 Of channel AVF: 76 .. 87 Of channel V1: 88 .. 99 Of channel V2: 100 .. 111 Of channel V3: 112 .. 123 Of channel V4: 124 .. 135 Of channel V5: 136 .. 147 Of channel V6: 148 .. 159 Of channel DI: Amplitude , * 0.1 milivolt, of 160 JJ wave, linear 161 Q wave, linear 162 R wave, linear 163 S wave, linear 164 R' wave, linear 165 S' wave, linear 166 P wave, linear 167 T wave, linear 168 QRSA , Sum of areas of all segments divided by 10, ( Area= width * height / 2 ), linear 169 QRSTA = QRSA + 0.5 * width of T wave * 0.1 * height of T wave. (If T is diphasic then the bigger segment is considered), linear Of channel DII: 170 .. 179 Of channel DIII: 180 .. 189 Of channel AVR: 190 .. 199 Of channel AVL: 200 .. 209 Of channel AVF: 210 .. 219 Of channel V1: 220 .. 229 Of channel V2: 230 .. 239 Of channel V3: 240 .. 249 Of channel V4: 250 .. 259 Of channel V5: 260 .. 269 Of channel V6: 270 .. 279 Class code - class - number of instances: > 01 Normal 245 02 Ischemic changes (Coronary Artery Disease) 44 03 Old Anterior Myocardial Infarction 15 04 Old Inferior Myocardial Infarction 15 05 Sinus tachycardy 13 06 Sinus bradycardy 25 07 Ventricular Premature Contraction (PVC) 3 08 Supraventricular Premature Contraction 2 09 Left bundle branch block 9 10 Right bundle branch block 50 11 1. degree AtrioVentricular block 0 12 2. degree AV block 0 13 3. degree AV block 0 14 Left ventricule hypertrophy 4 15 Atrial Fibrillation or Flutter 5 16 Others 22

280 features

class (target)nominal13 unique values
0 missing
agenumeric77 unique values
0 missing
sexnominal2 unique values
0 missing
heightnumeric53 unique values
0 missing
weightnumeric76 unique values
0 missing
QRSdurationnumeric67 unique values
0 missing
PRintervalnumeric106 unique values
0 missing
Q-Tintervalnumeric132 unique values
0 missing
Tintervalnumeric129 unique values
0 missing
Pintervalnumeric90 unique values
0 missing
QRSnumeric160 unique values
0 missing
Tnumeric170 unique values
8 missing
Pnumeric101 unique values
22 missing
QRSTnumeric134 unique values
1 missing
Jnumeric69 unique values
376 missing
heartratenumeric63 unique values
1 missing
chDI_Qwavenumeric11 unique values
0 missing
chDI_Rwavenumeric28 unique values
0 missing
chDI_Swavenumeric20 unique values
0 missing
chDI_RPwavenumeric4 unique values
0 missing
chDI_SPwavenumeric1 unique values
0 missing
chDI_intrinsicReflecttionsnumeric18 unique values
0 missing
chDI_RRwaveExistsnominal2 unique values
0 missing
chDI_DD_RRwaveExistsnominal2 unique values
0 missing
chDI_RPwaveExistsnominal2 unique values
0 missing
chDI_DD_RPwaveExistsnominal2 unique values
0 missing
chDI_RTwaveExistsnominal2 unique values
0 missing
chDI_DD_RTwaveExistsnominal2 unique values
0 missing
chDII_Qwavenumeric11 unique values
0 missing
chDII_Rwavenumeric26 unique values
0 missing
chDII_Swavenumeric20 unique values
0 missing
chDII_RPwavenumeric7 unique values
0 missing
chDII_SPwavenumeric3 unique values
0 missing
chDII_intrinsicReflecttionsnumeric17 unique values
0 missing
chDII_RRwaveExistsnominal2 unique values
0 missing
chDII_DD_RRwaveExistsnominal2 unique values
0 missing
chDII_RPwaveExistsnominal2 unique values
0 missing
chDII_DD_RPwaveExistsnominal2 unique values
0 missing
chDII_RTwaveExistsnominal2 unique values
0 missing
chDII_DD_RTwaveExistsnominal2 unique values
0 missing
chDIII_Qwavenumeric22 unique values
0 missing
chDIII_Rwavenumeric25 unique values
0 missing
chDIII_Swavenumeric22 unique values
0 missing
chDIII_RPwavenumeric16 unique values
0 missing
chDIII_SPwavenumeric4 unique values
0 missing
chDIII_intrinsicReflecttionsnumeric22 unique values
0 missing
chDIII_RRwaveExistsnominal2 unique values
0 missing
chDIII_DD_RRwaveExistsnominal2 unique values
0 missing
chDIII_RPwaveExistsnominal2 unique values
0 missing
chDIII_DD_RPwaveExistsnominal2 unique values
0 missing
chDIII_RTwaveExistsnominal2 unique values
0 missing
chDIII_DD_RTwaveExistsnominal2 unique values
0 missing
chAVR_Qwavenumeric24 unique values
0 missing
chAVR_Rwavenumeric17 unique values
0 missing
chAVR_Swavenumeric15 unique values
0 missing
chAVR_RPwavenumeric14 unique values
0 missing
chAVR_SPwavenumeric2 unique values
0 missing
chAVR_intrinsicReflecttionsnumeric21 unique values
0 missing
chAVR_RRwaveExistsnominal2 unique values
0 missing
chAVR_DD_RRwaveExistsnominal2 unique values
0 missing
chAVR_RPwaveExistsnominal2 unique values
0 missing
chAVR_DD_RPwaveExistsnominal2 unique values
0 missing
chAVR_RTwaveExistsnominal2 unique values
0 missing
chAVR_DD_RTwaveExistsnominal2 unique values
0 missing
chAVL_Qwavenumeric20 unique values
0 missing
chAVL_Rwavenumeric29 unique values
0 missing
chAVL_Swavenumeric22 unique values
0 missing
chAVL_RPwavenumeric7 unique values
0 missing
chAVL_SPwavenumeric1 unique values
0 missing
chAVL_intrinsicReflecttionsnumeric22 unique values
0 missing
chAVL_RRwaveExistsnominal1 unique values
0 missing
chAVL_DD_RRwaveExistsnominal2 unique values
0 missing
chAVL_RPwaveExistsnominal2 unique values
0 missing
chAVL_DD_RPwaveExistsnominal2 unique values
0 missing
chAVL_RTwaveExistsnominal2 unique values
0 missing
chAVL_DD_RTwaveExistsnominal2 unique values
0 missing
chAVF_Qwavenumeric19 unique values
0 missing
chAVF_Rwavenumeric25 unique values
0 missing
chAVF_Swavenumeric23 unique values
0 missing
chAVF_RPwavenumeric10 unique values
0 missing
chAVF_SPwavenumeric4 unique values
0 missing
chAVF_intrinsicReflecttionsnumeric21 unique values
0 missing
chAVF_RRwaveExistsnominal2 unique values
0 missing
chAVF_DD_RRwaveExistsnominal2 unique values
0 missing
chAVF_RPwaveExistsnominal1 unique values
0 missing
chAVF_DD_RPwaveExistsnominal2 unique values
0 missing
chAVF_RTwaveExistsnominal2 unique values
0 missing
chAVF_DD_RTwaveExistsnominal2 unique values
0 missing
chV1_Qwavenumeric21 unique values
0 missing
chV1_Rwavenumeric17 unique values
0 missing
chV1_Swavenumeric23 unique values
0 missing
chV1_RPwavenumeric17 unique values
0 missing
chV1_SPwavenumeric3 unique values
0 missing
chV1_intrinsicReflecttionsnumeric25 unique values
0 missing
chV1_RRwaveExistsnominal2 unique values
0 missing
chV1_DD_RRwaveExistsnominal2 unique values
0 missing
chV1_RPwaveExistsnominal2 unique values
0 missing
chV1_DD_RPwaveExistsnominal2 unique values
0 missing
chV1_RTwaveExistsnominal2 unique values
0 missing
chV1_DD_RTwaveExistsnominal2 unique values
0 missing
chV2_Qwavenumeric21 unique values
0 missing
chV2_Rwavenumeric18 unique values
0 missing
chV2_Swavenumeric22 unique values
0 missing
chV2_RPwavenumeric14 unique values
0 missing
chV2_SPwavenumeric3 unique values
0 missing
chV2_intrinsicReflecttionsnumeric23 unique values
0 missing
chV2_RRwaveExistsnominal2 unique values
0 missing
chV2_DD_RRwaveExistsnominal2 unique values
0 missing
chV2_RPwaveExistsnominal2 unique values
0 missing
chV2_DD_RPwaveExistsnominal2 unique values
0 missing
chV2_RTwaveExistsnominal2 unique values
0 missing
chV2_DD_RTwaveExistsnominal2 unique values
0 missing
chV3_Qwavenumeric14 unique values
0 missing
chV3_Rwavenumeric19 unique values
0 missing
chV3_Swavenumeric26 unique values
0 missing
chV3_RPwavenumeric6 unique values
0 missing
chV3_SPwavenumeric3 unique values
0 missing
chV3_intrinsicReflecttionsnumeric16 unique values
0 missing
chV3_RRwaveExistsnominal2 unique values
0 missing
chV3_DD_RRwaveExistsnominal2 unique values
0 missing
chV3_RPwaveExistsnominal2 unique values
0 missing
chV3_DD_RPwaveExistsnominal2 unique values
0 missing
chV3_RTwaveExistsnominal2 unique values
0 missing
chV3_DD_RTwaveExistsnominal2 unique values
0 missing
chV4_Qwavenumeric13 unique values
0 missing
chV4_Rwavenumeric19 unique values
0 missing
chV4_Swavenumeric28 unique values
0 missing
chV4_RPwavenumeric6 unique values
0 missing
chV4_SPwavenumeric3 unique values
0 missing
chV4_intrinsicReflecttionsnumeric14 unique values
0 missing
chV4_RRwaveExistsnominal2 unique values
0 missing
chV4_DD_RRwaveExistsnominal2 unique values
0 missing
chV4_RPwaveExistsnominal1 unique values
0 missing
chV4_DD_RPwaveExistsnominal1 unique values
0 missing
chV4_RTwaveExistsnominal2 unique values
0 missing
chV4_DD_RTwaveExistsnominal2 unique values
0 missing
chV5_Qwavenumeric10 unique values
0 missing
chV5_Rwavenumeric23 unique values
0 missing
chV5_Swavenumeric23 unique values
0 missing
chV5_RPwavenumeric4 unique values
0 missing
chV5_SPwavenumeric1 unique values
0 missing
chV5_intrinsicReflecttionsnumeric18 unique values
0 missing
chV5_RRwaveExistsnominal1 unique values
0 missing
chV5_DD_RRwaveExistsnominal2 unique values
0 missing
chV5_RPwaveExistsnominal1 unique values
0 missing
chV5_DD_RPwaveExistsnominal2 unique values
0 missing
chV5_RTwaveExistsnominal1 unique values
0 missing
chV5_DD_RTwaveExistsnominal2 unique values
0 missing
chV6_Qwavenumeric11 unique values
0 missing
chV6_Rwavenumeric25 unique values
0 missing
chV6_Swavenumeric20 unique values
0 missing
chV6_RPwavenumeric3 unique values
0 missing
chV6_SPwavenumeric1 unique values
0 missing
chV6_intrinsicReflecttionsnumeric17 unique values
0 missing
chV6_RRwaveExistsnominal2 unique values
0 missing
chV6_DD_RRwaveExistsnominal2 unique values
0 missing
chV6_RPwaveExistsnominal2 unique values
0 missing
chV6_DD_RPwaveExistsnominal1 unique values
0 missing
chV6_RTwaveExistsnominal1 unique values
0 missing
chV6_DD_RTwaveExistsnominal2 unique values
0 missing
chDI_JJwaveAmpnumeric32 unique values
0 missing
chDI_QwaveAmpnumeric17 unique values
0 missing
chDI_RwaveAmpnumeric111 unique values
0 missing
chDI_SwaveAmpnumeric52 unique values
0 missing
chDI_RPwaveAmpnumeric3 unique values
0 missing
chDI_SPwaveAmpnumeric1 unique values
0 missing
chDI_PwaveAmpnumeric24 unique values
0 missing
chDI_TwaveAmpnumeric56 unique values
0 missing
chDI_QRSAnumeric268 unique values
0 missing
chDI_QRSTAnumeric296 unique values
0 missing
chDII_JJwaveAmpnumeric35 unique values
0 missing
chDII_QwaveAmpnumeric25 unique values
0 missing
chDII_RwaveAmpnumeric137 unique values
0 missing
chDII_SwaveAmpnumeric58 unique values
0 missing
chDII_RPwaveAmpnumeric8 unique values
0 missing
chDII_SPwaveAmpnumeric3 unique values
0 missing
chDII_PwaveAmpnumeric37 unique values
0 missing
chDII_TwaveAmpnumeric68 unique values
0 missing
chDII_QRSAnumeric290 unique values
0 missing
chDII_QRSTAnumeric326 unique values
0 missing
chDIII_JJwaveAmpnumeric34 unique values
0 missing
chDIII_QwaveAmpnumeric62 unique values
0 missing
chDIII_RwaveAmpnumeric105 unique values
0 missing
chDIII_SwaveAmpnumeric87 unique values
0 missing
chDIII_RPwaveAmpnumeric24 unique values
0 missing
chDIII_SPwaveAmpnumeric6 unique values
0 missing
chDIII_PwaveAmpnumeric34 unique values
0 missing
chDIII_TwaveAmpnumeric56 unique values
0 missing
chDIII_QRSAnumeric304 unique values
0 missing
chDIII_QRSTAnumeric318 unique values
0 missing
chAVR_JJwaveAmpnumeric31 unique values
0 missing
chAVR_QwaveAmpnumeric96 unique values
0 missing
chAVR_RwaveAmpnumeric40 unique values
0 missing
chAVR_SwaveAmpnumeric53 unique values
0 missing
chAVR_RPwaveAmpnumeric21 unique values
0 missing
chAVR_SPwaveAmpnumeric2 unique values
0 missing
chAVR_PwaveAmpnumeric25 unique values
0 missing
chAVR_TwaveAmpnumeric60 unique values
0 missing
chAVR_QRSAnumeric253 unique values
0 missing
chAVR_QRSTAnumeric281 unique values
0 missing
chAVL_JJwaveAmpnumeric31 unique values
0 missing
chAVL_QwaveAmpnumeric37 unique values
0 missing
chAVL_RwaveAmpnumeric101 unique values
0 missing
chAVL_SwaveAmpnumeric62 unique values
0 missing
chAVL_RPwaveAmpnumeric9 unique values
0 missing
chAVL_SPwaveAmpnumeric1 unique values
0 missing
chAVL_PwaveAmpnumeric23 unique values
0 missing
chAVL_TwaveAmpnumeric46 unique values
0 missing
chAVL_QRSAnumeric276 unique values
0 missing
chAVL_QRSTAnumeric289 unique values
0 missing
chAVF_JJwaveAmpnumeric28 unique values
0 missing
chAVF_QwaveAmpnumeric34 unique values
0 missing
chAVF_RwaveAmpnumeric118 unique values
0 missing
chAVF_SwaveAmpnumeric64 unique values
0 missing
chAVF_RPwaveAmpnumeric11 unique values
0 missing
chAVF_SPwaveAmpnumeric4 unique values
0 missing
chAVF_PwaveAmpnumeric33 unique values
0 missing
chAVF_TwaveAmpnumeric54 unique values
0 missing
chAVF_QRSAnumeric279 unique values
0 missing
chAVF_QRSTAnumeric317 unique values
0 missing
chV1_JJwaveAmpnumeric45 unique values
0 missing
chV1_QwaveAmpnumeric62 unique values
0 missing
chV1_RwaveAmpnumeric58 unique values
0 missing
chV1_SwaveAmpnumeric129 unique values
0 missing
chV1_RPwaveAmpnumeric27 unique values
0 missing
chV1_SPwaveAmpnumeric4 unique values
0 missing
chV1_PwaveAmpnumeric33 unique values
0 missing
chV1_TwaveAmpnumeric72 unique values
0 missing
chV1_QRSAnumeric287 unique values
0 missing
chV1_QRSTAnumeric309 unique values
0 missing
chV2_JJwaveAmpnumeric57 unique values
0 missing
chV2_QwaveAmpnumeric38 unique values
0 missing
chV2_RwaveAmpnumeric106 unique values
0 missing
chV2_SwaveAmpnumeric171 unique values
0 missing
chV2_RPwaveAmpnumeric24 unique values
0 missing
chV2_SPwaveAmpnumeric4 unique values
0 missing
chV2_PwaveAmpnumeric28 unique values
0 missing
chV2_TwaveAmpnumeric107 unique values
0 missing
chV2_QRSAnumeric315 unique values
0 missing
chV2_QRSTAnumeric350 unique values
0 missing
chV3_JJwaveAmpnumeric64 unique values
0 missing
chV3_QwaveAmpnumeric26 unique values
0 missing
chV3_RwaveAmpnumeric164 unique values
0 missing
chV3_SwaveAmpnumeric189 unique values
0 missing
chV3_RPwaveAmpnumeric7 unique values
0 missing
chV3_SPwaveAmpnumeric3 unique values
0 missing
chV3_PwaveAmpnumeric33 unique values
0 missing
chV3_TwaveAmpnumeric118 unique values
0 missing
chV3_QRSAnumeric354 unique values
0 missing
chV3_QRSTAnumeric377 unique values
0 missing
chV4_JJwaveAmpnumeric52 unique values
0 missing
chV4_QwaveAmpnumeric25 unique values
0 missing
chV4_RwaveAmpnumeric197 unique values
0 missing
chV4_SwaveAmpnumeric147 unique values
0 missing
chV4_RPwaveAmpnumeric10 unique values
0 missing
chV4_SPwaveAmpnumeric3 unique values
0 missing
chV4_PwaveAmpnumeric30 unique values
0 missing
chV4_TwaveAmpnumeric103 unique values
0 missing
chV4_QRSAnumeric336 unique values
0 missing
chV4_QRSTAnumeric384 unique values
0 missing
chV5_JJwaveAmpnumeric42 unique values
0 missing
chV5_QwaveAmpnumeric25 unique values
0 missing
chV5_RwaveAmpnumeric168 unique values
0 missing
chV5_SwaveAmpnumeric101 unique values
0 missing
chV5_RPwaveAmpnumeric4 unique values
0 missing
chV5_SPwaveAmpnumeric1 unique values
0 missing
chV5_PwaveAmpnumeric28 unique values
0 missing
chV5_TwaveAmpnumeric80 unique values
0 missing
chV5_QRSAnumeric307 unique values
0 missing
chV5_QRSTAnumeric348 unique values
0 missing
chV6_JJwaveAmpnumeric37 unique values
0 missing
chV6_QwaveAmpnumeric22 unique values
0 missing
chV6_RwaveAmpnumeric136 unique values
0 missing
chV6_SwaveAmpnumeric57 unique values
0 missing
chV6_RPwaveAmpnumeric3 unique values
0 missing
chV6_SPwaveAmpnumeric1 unique values
0 missing
chV6_PwaveAmpnumeric24 unique values
0 missing
chV6_TwaveAmpnumeric71 unique values
0 missing
chV6_QRSAnumeric286 unique values
0 missing
chV6_QRSTAnumeric332 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
452
Number of instances (rows) of the dataset.
NumberOfFeatures
280
Number of attributes (columns) of the dataset.
NumberOfClasses
13
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
408
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
384
Number of instances with at least one value missing.
NumberOfNumericFeatures
206
Number of numeric attributes.
NumberOfSymbolicFeatures
74
Number of nominal attributes.
AutoCorrelation
0.35
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.77
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
CfsSubsetEval_DecisionStumpErrRate
0.31
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
CfsSubsetEval_DecisionStumpKappa
0.52
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
CfsSubsetEval_NaiveBayesAUC
0.77
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
CfsSubsetEval_NaiveBayesErrRate
0.31
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
CfsSubsetEval_NaiveBayesKappa
0.52
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
CfsSubsetEval_kNN1NAUC
0.77
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
CfsSubsetEval_kNN1NErrRate
0.31
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
CfsSubsetEval_kNN1NKappa
0.52
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
ClassEntropy
2.4
Entropy of the target attribute values.
DecisionStumpAUC
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.43
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.62
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
150.93
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.48
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.48
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.48
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
54.2
Percentage of instances belonging to the most frequent class.
MajorityClassSize
245
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0.99
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
452
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
367.21
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.1
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
13
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
21.26
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
127.22
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.07
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
50.39
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
14.35
Mean of means among attributes of the numeric type.
MeanMutualInformation
0.02
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
3.69
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2.03
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
1.33
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
9.97
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
-0
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.64
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-23.5
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
1
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-21.26
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
0.44
Percentage of instances belonging to the least frequent class.
MinorityClassSize
2
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.79
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.4
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.41
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
73
Number of binary attributes.
PercentageOfBinaryFeatures
26.07
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
84.96
Percentage of instances having missing values.
PercentageOfMissingValues
0.32
Percentage of missing values.
PercentageOfNumericFeatures
73.57
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
26.43
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.02
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
2.17
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
-0.67
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.97
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.06
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
7.22
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.93
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.35
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
3.48
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.09
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
31.71
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
19.96
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.02
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
2.58
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
16.45
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.45
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.45
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.35
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.45
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.51
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.51
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.51
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
1.33
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

32 tasks

Supervised Classification on arrhythmia
3391 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
307 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
288 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
171 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
31 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on arrhythmia
0 runs - estimation_procedure: Leave one out - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
0 runs - estimation_procedure: 20% Holdout (Ordered) - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on arrhythmia
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: class
Learning Curve on arrhythmia
182 runs - estimation_procedure: 10 times 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on arrhythmia
78 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10 times 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10 times 10-fold Learning Curve - target_feature: class
Learning Curve on arrhythmia
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on arrhythmia
25 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on arrhythmia
0 runs
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
Clustering on arrhythmia
0 runs - estimation_procedure: 50 times Clustering
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