G4G0-2/AI & Data Mining/Week 4/Workshop 4 - Nearest Neighbor.md

=== Run information ===

Scheme:       weka.classifiers.lazy.IBk -K 3 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation:     letsPlay
Instances:    14
Attributes:   5
              outlook
              temperature
              humidity
              windy
              play
Test mode:    user supplied test set:  size unknown (reading incrementally)

=== Classifier model (full training set) ===

IB1 instance-based classifier
using 3 nearest neighbour(s) for classification

Time taken to build model: 0 seconds

=== Predictions on test set ===

    inst#     actual  predicted error prediction
        1      1:yes      1:yes       0.659 
        2      1:yes      1:yes       0.659 

=== Evaluation on test set ===

Time taken to test model on supplied test set: 0 seconds

=== Summary ===

Correctly Classified Instances           2              100      %
Incorrectly Classified Instances         0                0      %
Kappa statistic                          1     
Mean absolute error                      0.3409
Root mean squared error                  0.3409
Relative absolute error                 90.9091 %
Root relative squared error             90.9091 %
Total Number of Instances                2