Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.7527  0.005  0.127  0.4542  0.1617  0.27
Anderszewski 2003   45  0.6173  0.0058  0.0650  0.0667  0.0458  0.05
Ashkenazy 1981   74  0.4828  0.0065  0.0467  0.0467  0.0471  0.04
Bacha 2000   59  0.5541  0.0047  0.0560  0.0545  0.0653  0.05
Badura 1965   44  0.6216  0.0146  0.0561  0.0544  0.1443  0.08
Barbosa 1983   60  0.5524  0.0152  0.0845  0.0826  0.2232  0.13
Biret 1990   40  0.634  0.077  0.119  0.3923  0.279  0.32
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   66  0.5217  0.0120  0.0637  0.1642  0.0935  0.12
Blumental 1952   47  0.6080  0.0034  0.0641  0.1461  0.0447  0.07
Boshniakovich 1969   22  0.6732  0.0035  0.0635  0.1764  0.0540  0.09
Brailowsky 1960   55  0.5774  0.0068  0.0465  0.0467  0.0463  0.04
Bunin 1987   85  0.3684  0.0080  0.0287  0.0258  0.0587  0.03
Bunin 1987b   86  0.3562  0.0079  0.0384  0.0354  0.0669  0.04
Chiu 1999   57  0.5682  0.0056  0.0749  0.0777  0.0354  0.05
Cohen 1997   75  0.472  0.182  0.1824  0.291  0.533  0.39
Cortot 1951   34  0.6535  0.0045  0.0563  0.0558  0.0475  0.04
Csalog 1996   56  0.5610  0.0315  0.0733  0.1924  0.3021  0.24
Czerny 1949   42  0.6366  0.0054  0.0653  0.0662  0.0459  0.05
Czerny 1990   8  0.716  0.0417  0.0518  0.3639  0.1224  0.21
Duchoud 2007   78  0.4340  0.0063  0.0559  0.0557  0.0560  0.05
Ezaki 2006   39  0.6411  0.0219  0.0644  0.0979  0.0352  0.05
Falvay 1989   76  0.4571  0.0084  0.0385  0.0363  0.0565  0.04
Farrell 1958   61  0.5585  0.0055  0.0654  0.0658  0.0555  0.05
Ferenczy 1958   18  0.689  0.0314  0.0632  0.1924  0.2823  0.23
Fliere 1977   1  0.781  0.181  0.181  0.5328  0.226  0.34
Fou 1978   16  0.698  0.034  0.122  0.4719  0.342  0.40
Francois 1956   41  0.6367  0.0051  0.0846  0.0832  0.2133  0.13
Friedman 1923   50  0.5930  0.0060  0.0557  0.0573  0.0478  0.04
Friedman 1923b   52  0.5918  0.0159  0.0652  0.0660  0.0561  0.05
Friedman 1930   54  0.5734  0.0069  0.0382  0.0355  0.0670  0.04
Garcia 2007   13  0.7045  0.0023  0.0615  0.3728  0.278  0.32
Garcia 2007b   36  0.6475  0.0029  0.0621  0.3244  0.0829  0.16
Gierzod 1998   11  0.7186  0.0024  0.0710  0.3858  0.0531  0.14
Gornostaeva 1994   58  0.5631  0.0066  0.0558  0.0575  0.0372  0.04
Groot 1988   65  0.5253  0.0064  0.0564  0.0569  0.0474  0.04
Harasiewicz 1955   32  0.6526  0.0150  0.0651  0.0653  0.0651  0.06
Hatto 1993   33  0.6533  0.0010  0.1112  0.3832  0.2214  0.29
Hatto 1997   24  0.6683  0.0012  0.0916  0.3733  0.2213  0.29
Horowitz 1949   70  0.4946  0.0077  0.0383  0.0375  0.0483  0.03
Indjic 1988   23  0.6788  0.0011  0.1014  0.3833  0.2311  0.30
Kapell 1951   29  0.6643  0.0025  0.0722  0.3073  0.0436  0.11
Kissin 1993   7  0.7263  0.0018  0.0619  0.3437  0.1819  0.25
Kushner 1989   10  0.7170  0.0028  0.0720  0.3433  0.2116  0.27
Luisada 1991   3  0.745  0.046  0.146  0.4635  0.1715  0.28
Lushtak 2004   26  0.6625  0.0132  0.0725  0.2842  0.1026  0.17
Malcuzynski 1961   83  0.4148  0.0076  0.0381  0.0375  0.0382  0.03
Magaloff 1978   68  0.5181  0.0073  0.0376  0.0369  0.0480  0.03
Magin 1975   48  0.5955  0.0057  0.0556  0.0583  0.0368  0.04
Michalowski 1933   49  0.5929  0.0053  0.0747  0.0762  0.0550  0.06
Milkina 1970   21  0.6714  0.0213  0.0826  0.2841  0.1525  0.20
Mohovich 1999   28  0.6623  0.0136  0.0631  0.2255  0.0638  0.11
Moravec 1969   71  0.4954  0.0083  0.0471  0.0453  0.0562  0.04
Morozova 2008   19  0.6747  0.0021  0.0627  0.2834  0.1922  0.23
Neighaus 1950   46  0.6164  0.0043  0.0642  0.1366  0.0544  0.08
Niedzielski 1931   25  0.6656  0.0049  0.0748  0.0744  0.0942  0.08
Ohlsson 1999   63  0.5442  0.0044  0.0543  0.0971  0.0449  0.06
Osinska 1989   17  0.6851  0.0038  0.0634  0.1869  0.0441  0.08
Pachmann 1927   53  0.5777  0.0071  0.0380  0.0355  0.0484  0.03
Paderewski 1930   35  0.6460  0.0033  0.0628  0.2419  0.3710  0.30
Perlemuter 1992   4  0.733  0.093  0.184  0.4621  0.294  0.37
Pierdomenico 2008   84  0.3768  0.0078  0.0379  0.0355  0.0667  0.04
Poblocka 1999   15  0.6952  0.0030  0.0713  0.3846  0.0727  0.16
Rabcewiczowa 1932   27  0.6665  0.0027  0.0623  0.2927  0.2318  0.26
Rachmaninoff 1923   64  0.5472  0.0070  0.0375  0.0385  0.0381  0.03
Rangell 2001   87  0.3238  0.0075  0.0372  0.0365  0.0388  0.03
Richter 1976   67  0.5220  0.0167  0.0468  0.0451  0.0657  0.05
Rosen 1989   6  0.7212  0.029  0.123  0.4725  0.275  0.36
Rosenthal 1930   73  0.4957  0.0081  0.0470  0.0472  0.0386  0.03
Rosenthal 1931   82  0.4149  0.0086  0.0286  0.0246  0.0685  0.03
Rosenthal 1931b   80  0.4258  0.0085  0.0377  0.0362  0.0576  0.04
Rosenthal 1931c   77  0.4478  0.0082  0.0378  0.0352  0.0577  0.04
Rosenthal 1931d   81  0.4169  0.0087  0.0469  0.0470  0.0473  0.04
Rossi 2007   72  0.4921  0.0174  0.0373  0.0364  0.0564  0.04
Rubinstein 1939   43  0.6222  0.0142  0.0740  0.1514  0.3720  0.24
Rubinstein 1952   62  0.5576  0.0048  0.0655  0.0621  0.4328  0.16
Rubinstein 1966   38  0.6419  0.0137  0.0630  0.2216  0.4012  0.30
Schilhawsky 1960   14  0.6944  0.0031  0.0729  0.2450  0.0634  0.12
Shebanova 2002   12  0.7061  0.0026  0.0517  0.3775  0.0337  0.11
Smith 1975   51  0.5936  0.0061  0.0562  0.0587  0.0366  0.04
Sokolov 2002   79  0.4350  0.0062  0.0466  0.0481  0.0379  0.03
Sztompka 1959   20  0.6713  0.0222  0.0511  0.3852  0.0630  0.15
Tomsic 1995   69  0.5037  0.0072  0.0374  0.0349  0.0856  0.05
Uninsky 1932   5  0.7215  0.0216  0.078  0.3933  0.277  0.32
Uninsky 1971   9  0.717  0.038  0.115  0.4631  0.361  0.41
Wasowski 1980   31  0.6639  0.0041  0.0638  0.1649  0.0639  0.10
Zak 1937   30  0.6690  0.0039  0.0736  0.1683  0.0345  0.07
Zak 1951   37  0.6487  0.0040  0.0739  0.1581  0.0346  0.07
Random 1   88  -0.1379  0.0089  0.0288  0.0225  0.2348  0.07
Random 2   89  -0.1489  0.0088  0.0189  0.0167  0.0389  0.02
Random 3   90  -0.2159  0.0090  0.0190  0.0153  0.0590  0.02

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).