Botany Data Characterization for Machine Learning
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Contents |
Archivo ARFF
El archivo arff se compone de 3 partes
- @ relation
- @ attributes
- @ data
@Relation
Se define como la cabecera del archivo arff y nos permitirá establecer que se esta clasificando
@ Attributes
Son los atributos que poseen los datos (El significado), este tipo de datos tambien puede contener la clase a la que pertenece
@ Data
Contiene los datos que representan el modelo
Data del proyecto
Resultados
Run information
Scheme:weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" Relation: plantas Instances: 40 Attributes: 46
Y1
Y2
Y3
Y4
Y5
Y6
Y7
Y8
Y9
Y10
Y11
Y12
Y13
Y14
Y15
Cr1
Cr2
Cr3
Cr4
Cr5
Cr6
Cr7
Cr8
Cr9
Cr10
Cr11
Cr12
Cr13
Cr14
Cr15
Cb1
Cb2
Cb3
Cb4
Cb5
Cb6
Cb7
Cb8
Cb9
Cb10
Cb11
Cb12
Cb13
Cb14
Cb15
class
Test mode:10-fold cross-validation
Classifier model (full training set)
IB1 instance-based classifier using 1 nearest neighbour(s) for classification
Time taken to build model: 0 seconds
Stratified cross-validation
Summary
Correctly Classified Instances 29 72.5 % Incorrectly Classified Instances 11 27.5 % Kappa statistic 0.45 Mean absolute error 0.2868 Root mean squared error 0.5111 Relative absolute error 57.3684 % Root relative squared error 102.2191 % Total Number of Instances 40
Detailed Accuracy By Class
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.45 0 1 0.45 0.621 0.725 Alternaria
1 0.55 0.645 1 0.784 0.725 Sana
Weighted Avg. 0.725 0.275 0.823 0.725 0.703 0.725
Confusion Matrix
a b <-- classified as 9 11 | a = Alternaria 0 20 | b = Sana
