Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.4749  0.0050  0.0651  0.0636  0.1351  0.09
Anderszewski 2003   6  0.6041  0.008  0.199  0.468  0.528  0.49
Ashkenazy 1981   1  0.681  0.321  0.321  0.736  0.582  0.65
Bacha 2000   39  0.4918  0.0123  0.0633  0.2110  0.5323  0.33
Badura 1965   80  0.3065  0.0074  0.0467  0.0469  0.0469  0.04
Barbosa 1983   57  0.467  0.0236  0.0840  0.1435  0.2735  0.19
Biret 1990   12  0.5857  0.0030  0.0720  0.3410  0.5217  0.42
Blet 2003   7  0.5910  0.0221  0.0815  0.4314  0.4313  0.43
Block 1995   41  0.4859  0.0040  0.0538  0.1628  0.2433  0.20
Blumental 1952   63  0.4217  0.0142  0.0543  0.1034  0.1942  0.14
Boshniakovich 1969   30  0.5335  0.0039  0.0635  0.1931  0.2731  0.23
Brailowsky 1960   18  0.5622  0.0124  0.0732  0.2527  0.3030  0.27
Bunin 1987   43  0.4830  0.0064  0.0466  0.0466  0.0472  0.04
Bunin 1987b   42  0.4881  0.0065  0.0552  0.0575  0.0363  0.04
Chiu 1999   25  0.5440  0.0016  0.0712  0.4413  0.539  0.48
Cohen 1997   83  0.2858  0.0077  0.0468  0.0462  0.0471  0.04
Cortot 1951   81  0.3063  0.0085  0.0379  0.0377  0.0385  0.03
Csalog 1996   79  0.3123  0.0161  0.0648  0.0627  0.3141  0.14
Czerny 1949   71  0.3750  0.0066  0.0472  0.0473  0.0384  0.03
Czerny 1990   17  0.5716  0.0129  0.0718  0.3531  0.2229  0.28
Duchoud 2007   24  0.5473  0.0031  0.0731  0.2729  0.3726  0.32
Ezaki 2006   23  0.5577  0.0038  0.0536  0.1960  0.0448  0.09
Falvay 1989   27  0.5346  0.0019  0.0722  0.3420  0.2927  0.31
Farrell 1958   44  0.4866  0.0058  0.0650  0.0641  0.1449  0.09
Ferenczy 1958   74  0.3586  0.0082  0.0375  0.0358  0.0483  0.03
Fliere 1977   3  0.6342  0.0010  0.138  0.4621  0.3914  0.42
Fou 1978   20  0.5633  0.0015  0.0810  0.4617  0.4311  0.44
Francois 1956   67  0.4038  0.0055  0.0554  0.0560  0.0475  0.04
Friedman 1923   87  0.1778  0.0087  0.0378  0.0365  0.0576  0.04
Friedman 1923b   86  0.1853  0.0086  0.0474  0.0468  0.0473  0.04
Friedman 1930   85  0.2431  0.0078  0.0382  0.0360  0.0482  0.03
Garcia 2007   72  0.3774  0.0063  0.0563  0.0516  0.4340  0.15
Garcia 2007b   51  0.475  0.0311  0.0926  0.331  0.756  0.50
Gierzod 1998   53  0.4654  0.0045  0.0564  0.0532  0.1752  0.09
Gornostaeva 1994   28  0.5388  0.0053  0.0649  0.0667  0.0461  0.05
Groot 1988   32  0.539  0.0234  0.0641  0.1461  0.0456  0.07
Harasiewicz 1955   49  0.4711  0.0133  0.0730  0.2861  0.0446  0.11
Hatto 1993   16  0.574  0.093  0.193  0.634  0.683  0.65
Hatto 1997   14  0.5737  0.007  0.144  0.554  0.564  0.55
Horowitz 1949   55  0.4625  0.0057  0.0555  0.0570  0.0465  0.04
Indjic 1988   11  0.588  0.024  0.272  0.674  0.691  0.68
Kapell 1951   37  0.5021  0.0151  0.0745  0.0741  0.1250  0.09
Kissin 1993   13  0.5719  0.019  0.147  0.4717  0.4212  0.44
Kushner 1989   8  0.5968  0.0028  0.0627  0.3220  0.3525  0.33
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   56  0.4682  0.0052  0.0556  0.0565  0.0470  0.04
Malcuzynski 1961   31  0.5362  0.0048  0.0560  0.0564  0.0464  0.04
Magaloff 1978   33  0.5243  0.0037  0.0534  0.2166  0.0353  0.08
Magin 1975   2  0.662  0.152  0.226  0.478  0.527  0.49
Michalowski 1933   60  0.4426  0.0012  0.0923  0.3414  0.4221  0.38
Milkina 1970   34  0.5275  0.0020  0.0921  0.3415  0.3922  0.36
Mohovich 1999   29  0.5383  0.0049  0.0562  0.0544  0.1155  0.07
Moravec 1969   54  0.4644  0.0035  0.0837  0.1627  0.2334  0.19
Morozova 2008   4  0.626  0.036  0.2014  0.4412  0.3919  0.41
Neighaus 1950   22  0.5532  0.0027  0.0719  0.3439  0.1432  0.22
Niedzielski 1931   68  0.3929  0.0060  0.0561  0.0518  0.3043  0.12
Ohlsson 1999   5  0.6056  0.0014  0.1013  0.4414  0.4116  0.42
Osinska 1989   46  0.4860  0.0047  0.0559  0.0525  0.2344  0.11
Pachmann 1927   75  0.3369  0.0067  0.0380  0.0363  0.0479  0.03
Paderewski 1930   65  0.4170  0.0070  0.0381  0.0369  0.0378  0.03
Perlemuter 1992   48  0.4824  0.0156  0.0746  0.0749  0.0557  0.06
Pierdomenico 2008   45  0.4839  0.0043  0.0542  0.1019  0.2638  0.16
Poblocka 1999   19  0.5612  0.0122  0.0717  0.3723  0.2924  0.33
Rabcewiczowa 1932   66  0.4084  0.0073  0.0465  0.0461  0.0462  0.04
Rachmaninoff 1923   58  0.4571  0.0054  0.0647  0.0647  0.0559  0.05
Rangell 2001   40  0.4934  0.0041  0.0539  0.1531  0.2436  0.19
Richter 1976   61  0.4345  0.0072  0.0471  0.0460  0.0466  0.04
Rosen 1989   36  0.5079  0.0044  0.0544  0.1043  0.1345  0.11
Rosenthal 1930   76  0.3261  0.0083  0.0287  0.0271  0.0388  0.02
Rosenthal 1931   78  0.3185  0.0081  0.0376  0.0364  0.0380  0.03
Rosenthal 1931b   77  0.3287  0.0079  0.0385  0.0358  0.0486  0.03
Rosenthal 1931c   82  0.2980  0.0084  0.0384  0.0386  0.0290  0.02
Rosenthal 1931d   73  0.3672  0.0076  0.0470  0.0461  0.0474  0.04
Rossi 2007   84  0.2776  0.0080  0.0386  0.0348  0.0477  0.03
Rubinstein 1939   64  0.4247  0.0062  0.0553  0.0510  0.4439  0.15
Rubinstein 1952   50  0.4751  0.0046  0.0557  0.0527  0.2447  0.11
Rubinstein 1966   21  0.5520  0.0132  0.0725  0.339  0.5018  0.41
Schilhawsky 1960   69  0.3989  0.0071  0.0383  0.0366  0.0381  0.03
Shebanova 2002   10  0.583  0.125  0.225  0.557  0.535  0.54
Smith 1975   9  0.5927  0.0025  0.0728  0.3244  0.0937  0.17
Sokolov 2002   47  0.4864  0.0059  0.0558  0.0560  0.0558  0.05
Sztompka 1959   59  0.4452  0.0069  0.0469  0.0449  0.0660  0.05
Tomsic 1995   15  0.5728  0.0026  0.0624  0.3320  0.2928  0.31
Uninsky 1932   62  0.4313  0.0168  0.0377  0.0362  0.0568  0.04
Uninsky 1971   70  0.3848  0.0075  0.0473  0.0457  0.0467  0.04
Wasowski 1980   38  0.5014  0.0113  0.0929  0.295  0.5020  0.38
Zak 1937   26  0.5415  0.0117  0.0711  0.4512  0.4710  0.46
Zak 1951   35  0.5136  0.0018  0.0916  0.4115  0.4315  0.42
Random 1   89  0.0155  0.0090  0.0190  0.0147  0.0489  0.02
Random 2   90  -0.0567  0.0089  0.0189  0.0145  0.0687  0.02
Random 3   88  0.0790  0.0088  0.0288  0.0215  0.3654  0.08

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).