Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4836  0.0051  0.0366  0.0380  0.0378  0.03
Anderszewski 2003   71  0.3349  0.0063  0.0549  0.0582  0.0352  0.04
Ashkenazy 1981   78  0.3181  0.0072  0.0456  0.0472  0.0455  0.04
Bacha 2000   45  0.4419  0.0118  0.0720  0.3332  0.1418  0.21
Badura 1965   72  0.3114  0.0150  0.0367  0.0358  0.0554  0.04
Barbosa 1983   82  0.2615  0.0119  0.0731  0.2332  0.1722  0.20
Biret 1990   26  0.5143  0.0026  0.0627  0.2863  0.0432  0.11
Blet 2003   13  0.5623  0.0023  0.0724  0.3033  0.1914  0.24
Block 1995   80  0.2926  0.0074  0.0283  0.0255  0.0582  0.03
Blumental 1952   15  0.556  0.035  0.114  0.4829  0.1613  0.28
Boshniakovich 1969   61  0.3648  0.0075  0.0285  0.0273  0.0483  0.03
Brailowsky 1960   64  0.3559  0.0068  0.0368  0.0365  0.0461  0.03
Bunin 1987   65  0.3552  0.0078  0.0381  0.0354  0.0656  0.04
Bunin 1987b   66  0.3487  0.0077  0.0284  0.0253  0.0667  0.03
Chiu 1999   68  0.3333  0.0020  0.0725  0.2836  0.1817  0.22
Cohen 1997   59  0.3853  0.0016  0.0721  0.328  0.457  0.38
Cortot 1951   39  0.4684  0.0055  0.0548  0.0572  0.0459  0.04
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   67  0.3488  0.0081  0.0451  0.0487  0.0277  0.03
Czerny 1990   20  0.5285  0.0022  0.0816  0.3671  0.0336  0.10
Duchoud 2007   81  0.2855  0.0079  0.0379  0.0379  0.0380  0.03
Ezaki 2006   55  0.3942  0.0039  0.0437  0.1581  0.0340  0.07
Falvay 1989   12  0.572  0.124  0.145  0.473  0.562  0.51
Farrell 1958   75  0.3161  0.0069  0.0453  0.0477  0.0449  0.04
Ferenczy 1958   4  0.623  0.083  0.167  0.445  0.505  0.47
Fliere 1977   35  0.4720  0.0141  0.0641  0.1282  0.0345  0.06
Fou 1978   27  0.5037  0.0030  0.0626  0.2847  0.0527  0.12
Francois 1956   29  0.5078  0.0034  0.0633  0.1845  0.0637  0.10
Friedman 1923   87  0.2282  0.0084  0.0382  0.0376  0.0388  0.03
Friedman 1923b   86  0.2245  0.0083  0.0378  0.0377  0.0384  0.03
Friedman 1930   85  0.2373  0.0085  0.0287  0.0267  0.0475  0.03
Garcia 2007   44  0.4541  0.0058  0.0463  0.0483  0.0381  0.03
Garcia 2007b   32  0.4865  0.0045  0.0373  0.0382  0.0387  0.03
Gierzod 1998   34  0.4746  0.0053  0.0372  0.0381  0.0379  0.03
Gornostaeva 1994   51  0.4166  0.0070  0.0547  0.0583  0.0285  0.03
Groot 1988   50  0.4156  0.0042  0.0444  0.0873  0.0446  0.06
Harasiewicz 1955   60  0.3728  0.0057  0.0546  0.0569  0.0460  0.04
Hatto 1993   79  0.3018  0.0161  0.0460  0.0474  0.0458  0.04
Hatto 1997   76  0.3130  0.0060  0.0371  0.0372  0.0476  0.03
Horowitz 1949   84  0.2386  0.0087  0.0458  0.0484  0.0369  0.03
Indjic 1988   77  0.3117  0.0162  0.0550  0.0574  0.0451  0.04
Kapell 1951   1  0.771  0.381  0.381  0.7012  0.333  0.48
Kissin 1993   17  0.5310  0.0236  0.0832  0.2075  0.0338  0.08
Kushner 1989   10  0.588  0.0211  0.089  0.4243  0.1120  0.21
Luisada 1991   56  0.3979  0.0040  0.0439  0.1267  0.0441  0.07
Lushtak 2004   36  0.4735  0.0017  0.0913  0.3841  0.1123  0.20
Malcuzynski 1961   74  0.3154  0.0082  0.0374  0.0380  0.0368  0.03
Magaloff 1978   57  0.3840  0.0071  0.0545  0.0574  0.0448  0.04
Magin 1975   47  0.4347  0.0067  0.0461  0.0487  0.0366  0.03
Michalowski 1933   49  0.4234  0.0048  0.0457  0.0461  0.0550  0.04
Milkina 1970   14  0.5613  0.0128  0.0718  0.3479  0.0334  0.10
Mohovich 1999   5  0.6016  0.016  0.133  0.5137  0.258  0.36
Moravec 1969   7  0.6025  0.0012  0.0711  0.3914  0.486  0.43
Morozova 2008   54  0.4031  0.0059  0.0454  0.0472  0.0374  0.03
Neighaus 1950   73  0.3190  0.0073  0.0375  0.0364  0.0557  0.04
Niedzielski 1931   41  0.4683  0.0056  0.0452  0.0470  0.0365  0.03
Ohlsson 1999   69  0.3329  0.0064  0.0370  0.0387  0.0372  0.03
Osinska 1989   30  0.5057  0.0037  0.0830  0.2655  0.0531  0.11
Pachmann 1927   63  0.3562  0.0076  0.0286  0.0273  0.0389  0.02
Paderewski 1930   18  0.5389  0.0035  0.0735  0.1758  0.0342  0.07
Perlemuter 1992   23  0.5221  0.018  0.0914  0.3842  0.1315  0.22
Pierdomenico 2008   70  0.3351  0.0080  0.0369  0.0373  0.0464  0.03
Poblocka 1999   9  0.5912  0.0113  0.078  0.4344  0.1116  0.22
Rabcewiczowa 1932   3  0.6363  0.007  0.156  0.4630  0.2110  0.31
Rachmaninoff 1923   62  0.3671  0.0066  0.0376  0.0379  0.0363  0.03
Rangell 2001   48  0.4344  0.0047  0.0365  0.0353  0.0486  0.03
Richter 1976   83  0.2560  0.0086  0.0377  0.0367  0.0470  0.03
Rosen 1989   6  0.6032  0.0021  0.0715  0.3752  0.0525  0.14
Rosenthal 1930   8  0.5911  0.0214  0.0712  0.3921  0.269  0.32
Rosenthal 1931   21  0.5264  0.0038  0.0638  0.1330  0.2224  0.17
Rosenthal 1931b   24  0.5276  0.0043  0.0342  0.1138  0.1330  0.12
Rosenthal 1931c   11  0.5858  0.0027  0.0628  0.2718  0.3311  0.30
Rosenthal 1931d   28  0.5077  0.0044  0.0543  0.0934  0.1729  0.12
Rossi 2007   58  0.3827  0.0025  0.0636  0.1627  0.2521  0.20
Rubinstein 1939   43  0.4572  0.0029  0.0729  0.2633  0.1719  0.21
Rubinstein 1952   2  0.685  0.042  0.212  0.524  0.551  0.53
Rubinstein 1966   46  0.449  0.0215  0.0819  0.3438  0.2312  0.28
Schilhawsky 1960   53  0.4150  0.0065  0.0380  0.0373  0.0473  0.03
Shebanova 2002   19  0.5322  0.019  0.0917  0.3468  0.0428  0.12
Smith 1975   37  0.4774  0.0033  0.0634  0.1841  0.0826  0.12
Sokolov 2002   42  0.4624  0.0046  0.0462  0.0474  0.0362  0.03
Sztompka 1959   52  0.4139  0.0054  0.0459  0.0485  0.0371  0.03
Tomsic 1995   16  0.547  0.0310  0.0810  0.419  0.564  0.48
Uninsky 1932   38  0.4667  0.0049  0.0464  0.0471  0.0453  0.04
Uninsky 1971   31  0.494  0.0524  0.0740  0.1275  0.0443  0.07
Wasowski 1980   40  0.4680  0.0052  0.0455  0.0467  0.0547  0.04
Zak 1937   22  0.5269  0.0032  0.0822  0.3182  0.0333  0.10
Zak 1951   25  0.5238  0.0031  0.0623  0.3172  0.0335  0.10
Random 1   89  -0.1470  0.0089  0.0289  0.0219  0.2844  0.07
Random 2   90  -0.2275  0.0090  0.0190  0.0180  0.0290  0.01
Random 3   88  -0.0968  0.0088  0.0288  0.0225  0.3139  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).