=== Run information ===

Scheme:       weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation:     non_llps_onecat_data_no_vars2.final2-weka.filters.supervised.instance.Resample-B0.0-S1-Z100.0
Instances:    114
Attributes:   21
              groupid_dimer_pfam_intra_inter_sum
              groupid_dimer_pfam_even_odd_sum
              one_pfam_groupid_sing_intra_inter_freq_sum
              one_pfam_groupid_sing_even_odd_sum
              dimer_sing_intra_inter_freq_sum
              dimer_multi_intra_inter_freq_sum
              one_pfam_sing_intra_inter_freq_sum
              one_pfam_multi_intra_inter_freq_sum
              one_pfam_sing_oli_stat_sum
              one_pfam_multi_oli_stat_sum
              cell_loc
              threedid_llps
              flag_llps
              SLIM_llps
              SIGNAL_llps
              GENE_llps
              CONDEN_TYPE_llps
              TYPE_llps
              CONDEN_LLPS_llps
              LLPS_llps
              oli.tat
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         104               91.2281 %
Incorrectly Classified Instances        10                8.7719 %
Kappa statistic                          0.8642
Mean absolute error                      0.0407
Root mean squared error                  0.163 
Relative absolute error                 15.5042 %
Root relative squared error             45.1978 %
Total Number of Instances              114     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.965    0.035    0.965      0.965    0.965      0.930    0.979     0.964     homo_obligate_oligomer_obligate
                 0.833    0.022    0.909      0.833    0.870      0.838    0.867     0.871     C1_obligate_hetero_single_oligomer_obligate
                 0.926    0.057    0.833      0.926    0.877      0.838    0.926     0.783     hetero_obligate_monomer_oligomer_moderate
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     hetero_obligate_oligomer_obligate
                 0.500    0.009    0.667      0.500    0.571      0.564    0.991     0.733     homo_hetero_moderate_monomer_oligomer_moderate
Weighted Avg.    0.912    0.036    0.912      0.912    0.911      0.877    0.943     0.894     

=== Confusion Matrix ===

  a  b  c  d  e   <-- classified as
 55  0  2  0  0 |  a = homo_obligate_oligomer_obligate
  0 20  3  0  1 |  b = C1_obligate_hetero_single_oligomer_obligate
  2  0 25  0  0 |  c = hetero_obligate_monomer_oligomer_moderate
  0  0  0  2  0 |  d = hetero_obligate_oligomer_obligate
  0  2  0  0  2 |  e = homo_hetero_moderate_monomer_oligomer_moderate

