=== Run information ===

Scheme:       weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation:     co_tf_pras_ptm_final_input_weka3-weka.filters.supervised.instance.Resample-B0.0-S1-Z100.0-weka.filters.unsupervised.attribute.Remove-R1-weka.filters.supervised.instance.Resample-B0.0-S1-Z100.0
Instances:    91
Attributes:   84
              protcad_llps_one_pfam_groupid_sing_intra_inter_freq_sum
              protcad_llps_one_pfam_groupid_sing_oli_stat_sum
              protcad_llps_one_pfam_groupid_sing_even_odd_sum
              protcad_llps_one_pfam_groupid_sing_all_max_sum
              protcad_llps_dimer_sing_oli_sum
              protcad_llps_dimer_sing_intra_inter_freq_sum
              protcad_llps_dimer_multi_oli_sum
              protcad_llps_dimer_multi_intra_inter_freq_sum
              protcad_llps_one_pfam_sing_intra_inter_freq_sum
              protcad_llps_one_pfam_multi_intra_inter_freq_sum
              protcad_llps_one_pfam_sing_oli_stat_sum
              protcad_llps_one_pfam_multi_oli_stat_sum
              protcad_llps_cell_loc
              threedid_llps
              flag_llps
              ANA_dimer
              ANA_onepfam
              TEMP_dimer
              TEMP_onepfam
              llpsOrNot
              llpsChkUniprot
              llpsUniprot
              co_tf_fam_val
              co_tf_motif_fam_val
              plant_prAS_data_0
              plant_prAS_data_1
              plant_prAS_list_data_0
              plant_prAS_list_data_1
              plant_prAS_dom_linker_data_0
              plant_prAS_dom_linker_data_1
              plant_prAS_dom_linker_list_data_0
              plant_prAS_dom_linker_list_data_1
              ptmfeature_data_0
              ptmfeature_data_1
              ptmfeature_list_data_0
              ptmfeature_list_data_1
              ptmfeature_dom_linker_data_0
              ptmfeature_dom_linker_list_data_0
              query_plant_prAS_data
              query_plant_prAS_list_data
              query_plant_prAS_dom_linker_data
              query_plant_prAS_dom_linker_list_data
              query_ptmfeature_data
              query_ptmfeature_list_data
              co_tf_per_tf_val_0
              co_tf_per_tf_val_1
              co_tf_per_tf_val_2
              co_tf_per_tf_val_3
              co_tf_per_tf_val_4
              co_tf_per_tf_val_5
              co_tf_per_tf_val_6
              co_tf_per_tf_val_7
              co_tf_per_tf_val_8
              co_tf_per_tf_val_9
              co_tf_per_tf_val_10
              co_tf_per_tf_val_11
              co_tf_per_tf_val_12
              co_tf_per_tf_val_13
              co_tf_per_tf_val_14
              co_tf_per_tf_val_15
              co_tf_per_tf_val_16
              co_tf_per_tf_val_17
              co_tf_per_tf_val_18
              co_tf_per_tf_val_19
              co_tf_per_tf_val_20
              co_tf_per_tf_val_21
              co_tf_per_tf_val_22
              co_tf_per_tf_val_23
              co_tf_per_tf_val_24
              co_tf_per_tf_val_25
              co_tf_per_tf_val_26
              co_tf_per_tf_val_27
              co_tf_per_tf_val_28
              co_tf_per_tf_val_29
              co_tf_per_tf_val_30
              co_tf_per_tf_val_31
              co_tf_per_tf_val_32
              co_tf_per_tf_val_33
              co_tf_per_tf_val_34
              co_tf_per_tf_val_35
              co_tf_per_tf_val_36
              llpsType
              CONDEN_FUNC_LLPS_onepfam
              co_tf_motif_val
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          77               84.6154 %
Incorrectly Classified Instances        14               15.3846 %
Kappa statistic                          0.8107
Mean absolute error                      0.0232
Root mean squared error                  0.1138
Relative absolute error                 27.2786 %
Root relative squared error             55.8551 %
Total Number of Instances               91     

=== Detailed Accuracy By Class ===

                 TP Rate  FP Rate  Precision  Recall   F-Measure  MCC      ROC Area  PRC Area  Class
                 0.000    0.011    0.000      0.000    0.000      -0.011   0.472     0.019     co_tf_motif_val.csv18
                 1.000    0.016    0.967      1.000    0.983      0.975    0.984     0.920     co_tf_motif_val.csv9
                 1.000    0.028    0.905      1.000    0.950      0.938    0.997     0.986     co_tf_motif_val.csv0
                 0.000    0.022    0.000      0.000    0.000      -0.016   0.828     0.036     co_tf_motif_val.csv7
                 0.000    0.011    0.000      0.000    0.000      -0.011   0.006     0.011     co_tf_motif_val.csv14
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     co_tf_motif_val.csv3
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     co_tf_motif_val.csv15
                 1.000    0.012    0.857      1.000    0.923      0.920    0.992     0.819     co_tf_motif_val.csv4
                 1.000    0.000    1.000      1.000    1.000      1.000    1.000     1.000     co_tf_motif_val.csv8
                 0.000    0.011    0.000      0.000    0.000      -0.011   0.978     0.250     co_tf_motif_val.csv13
                 0.000    0.000    ?          0.000    ?          ?        0.611     0.024     co_tf_motif_val.csv11
                 0.000    0.022    0.000      0.000    0.000      -0.016   0.611     0.024     co_tf_motif_val.csv20
                 0.000    0.022    0.000      0.000    0.000      -0.016   0.817     0.034     co_tf_motif_val.csv16
                 0.000    0.000    ?          0.000    ?          ?        0.828     0.036     co_tf_motif_val.csv1
                 0.000    0.011    0.000      0.000    0.000      -0.011   0.811     0.034     co_tf_motif_val.csv12
                 0.000    0.000    ?          0.000    ?          ?        0.839     0.037     co_tf_motif_val.csv17
                 0.000    0.000    ?          0.000    ?          ?        0.472     0.019     co_tf_motif_val.csv10
                 0.000    0.000    ?          0.000    ?          ?        0.683     0.033     co_tf_motif_val.csv5
                 0.000    0.000    ?          0.000    ?          ?        0.989     0.333     co_tf_motif_val.csv19
                 0.000    0.000    ?          0.000    ?          ?        0.611     0.024     co_tf_motif_val.csv6
Weighted Avg.    0.846    0.013    ?          0.846    ?          ?        0.945     0.816     

=== Confusion Matrix ===

  a  b  c  d  e  f  g  h  i  j  k  l  m  n  o  p  q  r  s  t   <-- classified as
  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  a = co_tf_motif_val.csv18
  0 29  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  b = co_tf_motif_val.csv9
  0  0 19  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  c = co_tf_motif_val.csv0
  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0 |  d = co_tf_motif_val.csv7
  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  e = co_tf_motif_val.csv14
  0  0  0  0  0 12  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  f = co_tf_motif_val.csv3
  0  0  0  0  0  0  9  0  0  0  0  0  0  0  0  0  0  0  0  0 |  g = co_tf_motif_val.csv15
  0  0  0  0  0  0  0  6  0  0  0  0  0  0  0  0  0  0  0  0 |  h = co_tf_motif_val.csv4
  0  0  0  0  0  0  0  0  2  0  0  0  0  0  0  0  0  0  0  0 |  i = co_tf_motif_val.csv8
  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  j = co_tf_motif_val.csv13
  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0 |  k = co_tf_motif_val.csv11
  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0 |  l = co_tf_motif_val.csv20
  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0 |  m = co_tf_motif_val.csv16
  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  n = co_tf_motif_val.csv1
  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0 |  o = co_tf_motif_val.csv12
  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0 |  p = co_tf_motif_val.csv17
  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  q = co_tf_motif_val.csv10
  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  r = co_tf_motif_val.csv5
  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0 |  s = co_tf_motif_val.csv19
  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0 |  t = co_tf_motif_val.csv6

