Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8376  0.003  0.153  0.523  0.544  0.53
Anderszewski 2003   59  0.5813  0.0129  0.0638  0.1320  0.3238  0.20
Ashkenazy 1981   43  0.6518  0.0126  0.0619  0.2915  0.3824  0.33
Bacha 2000   74  0.4147  0.0080  0.0284  0.0269  0.0478  0.03
Badura 1965   44  0.6469  0.0044  0.0543  0.098  0.5036  0.21
Barbosa 1983   58  0.5929  0.0055  0.0467  0.0436  0.2455  0.10
Biret 1990   26  0.7025  0.0049  0.0547  0.0534  0.1857  0.09
Blet 2003   13  0.7768  0.0015  0.0812  0.398  0.4911  0.44
Block 1995   64  0.5563  0.0072  0.0458  0.0445  0.0670  0.05
Blumental 1952   70  0.4937  0.0041  0.0539  0.128  0.3737  0.21
Boshniakovich 1969   49  0.6372  0.0073  0.0457  0.0457  0.0476  0.04
Brailowsky 1960   65  0.5579  0.0077  0.0378  0.0353  0.0573  0.04
Bunin 1987   32  0.6931  0.0039  0.0735  0.2020  0.3735  0.27
Bunin 1987b   31  0.6946  0.0038  0.0434  0.2020  0.3734  0.27
Chiu 1999   68  0.5138  0.0064  0.0551  0.0534  0.1656  0.09
Cohen 1997   87  0.1470  0.0087  0.0286  0.0284  0.0289  0.02
Cortot 1951   27  0.7086  0.0035  0.0533  0.2012  0.4530  0.30
Csalog 1996   73  0.4260  0.0083  0.0383  0.0360  0.0484  0.03
Czerny 1949   1  0.891  0.451  0.451  0.691  0.741  0.71
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   24  0.7127  0.0022  0.0722  0.2713  0.4421  0.34
Ezaki 2006   2  0.834  0.025  0.176  0.487  0.518  0.49
Falvay 1989   28  0.7073  0.0050  0.0455  0.0436  0.1560  0.08
Farrell 1958   61  0.5771  0.0075  0.0372  0.0374  0.0381  0.03
Ferenczy 1958   46  0.6387  0.0040  0.0540  0.1119  0.3839  0.20
Fliere 1977   7  0.8014  0.0116  0.0715  0.3316  0.3422  0.33
Fou 1978   69  0.5021  0.0165  0.0546  0.0556  0.0569  0.05
Francois 1956   10  0.7916  0.017  0.108  0.462  0.567  0.51
Friedman 1923   85  0.1942  0.0069  0.0453  0.0413  0.4348  0.13
Friedman 1923b   84  0.1951  0.0068  0.0462  0.0414  0.4347  0.13
Friedman 1930   72  0.4339  0.0047  0.0552  0.0519  0.3745  0.14
Garcia 2007   78  0.3688  0.0076  0.0465  0.0453  0.0475  0.04
Garcia 2007b   86  0.1565  0.0085  0.0380  0.0351  0.0487  0.03
Gierzod 1998   33  0.6911  0.0227  0.0727  0.248  0.3633  0.29
Gornostaeva 1994   14  0.7715  0.0123  0.0924  0.2716  0.3629  0.31
Groot 1988   18  0.7424  0.0037  0.0542  0.1126  0.2444  0.16
Harasiewicz 1955   62  0.5723  0.0028  0.0621  0.2821  0.3231  0.30
Hatto 1993   82  0.3020  0.0166  0.0374  0.0336  0.1467  0.06
Hatto 1997   77  0.3850  0.0061  0.0373  0.0329  0.1964  0.08
Horowitz 1949   52  0.6228  0.0045  0.0550  0.0515  0.3546  0.13
Indjic 1988   81  0.3359  0.0067  0.0460  0.0433  0.1662  0.08
Kapell 1951   12  0.777  0.0213  0.0910  0.416  0.5210  0.46
Kissin 1993   35  0.6832  0.0052  0.0548  0.0533  0.2352  0.11
Kushner 1989   5  0.8255  0.006  0.097  0.474  0.499  0.48
Luisada 1991   45  0.6341  0.0053  0.0471  0.0436  0.1759  0.08
Lushtak 2004   55  0.5981  0.0036  0.0536  0.1935  0.1643  0.17
Malcuzynski 1961   3  0.833  0.064  0.162  0.582  0.622  0.60
Magaloff 1978   36  0.6826  0.0051  0.0468  0.0460  0.0379  0.03
Magin 1975   57  0.596  0.0225  0.0537  0.1317  0.2642  0.18
Michalowski 1933   66  0.5419  0.0124  0.0720  0.284  0.4817  0.37
Milkina 1970   50  0.6385  0.0059  0.0461  0.0453  0.0574  0.04
Mohovich 1999   16  0.7782  0.0030  0.0523  0.2717  0.3628  0.31
Moravec 1969   17  0.7412  0.0219  0.0632  0.231  0.6116  0.37
Morozova 2008   23  0.7249  0.0014  0.0711  0.394  0.4214  0.40
Neighaus 1950   25  0.7010  0.0210  0.0914  0.3814  0.4612  0.42
Niedzielski 1931   63  0.5717  0.0170  0.0645  0.0627  0.2250  0.11
Ohlsson 1999   30  0.6964  0.0048  0.0549  0.0521  0.2849  0.12
Osinska 1989   6  0.8122  0.0120  0.0726  0.256  0.4618  0.34
Pachmann 1927   79  0.3544  0.0081  0.0285  0.0254  0.0582  0.03
Paderewski 1930   41  0.6661  0.0058  0.0466  0.0432  0.1561  0.08
Perlemuter 1992   29  0.7053  0.0032  0.0731  0.2312  0.4226  0.31
Pierdomenico 2008   37  0.6862  0.0062  0.0376  0.0339  0.1068  0.05
Poblocka 1999   20  0.7257  0.0033  0.0630  0.2316  0.4227  0.31
Rabcewiczowa 1932   11  0.7883  0.0021  0.0717  0.314  0.4915  0.39
Rachmaninoff 1923   34  0.689  0.028  0.129  0.421  0.616  0.51
Rangell 2001   60  0.5877  0.0074  0.0470  0.0459  0.0477  0.04
Richter 1976   53  0.6140  0.0057  0.0469  0.0436  0.1166  0.07
Rosen 1989   38  0.685  0.0218  0.0729  0.2314  0.4425  0.32
Rosenthal 1930   40  0.6674  0.0054  0.0375  0.0320  0.4053  0.11
Rosenthal 1931   76  0.3980  0.0078  0.0379  0.0370  0.0383  0.03
Rosenthal 1931b   80  0.3478  0.0082  0.0381  0.0370  0.0386  0.03
Rosenthal 1931c   54  0.6033  0.0063  0.0456  0.0432  0.2158  0.09
Rosenthal 1931d   75  0.4058  0.0084  0.0377  0.0368  0.0385  0.03
Rossi 2007   71  0.4884  0.0056  0.0454  0.0414  0.2554  0.10
Rubinstein 1939   83  0.2366  0.0088  0.0288  0.0258  0.0580  0.03
Rubinstein 1952   67  0.5175  0.0079  0.0382  0.0346  0.0772  0.05
Rubinstein 1966   56  0.5956  0.0071  0.0464  0.0435  0.1763  0.08
Schilhawsky 1960   42  0.6645  0.0034  0.0728  0.2316  0.3732  0.29
Shebanova 2002   47  0.6348  0.0060  0.0463  0.0436  0.1765  0.08
Smith 1975   15  0.7767  0.0017  0.0713  0.3912  0.3019  0.34
Sokolov 2002   8  0.8054  0.009  0.125  0.513  0.515  0.51
Sztompka 1959   9  0.802  0.162  0.184  0.521  0.573  0.54
Tomsic 1995   19  0.738  0.0212  0.1018  0.3020  0.3623  0.33
Uninsky 1932   22  0.7236  0.0011  0.0816  0.323  0.5213  0.41
Uninsky 1971   21  0.7234  0.0031  0.0625  0.2510  0.4620  0.34
Wasowski 1980   39  0.6730  0.0043  0.0444  0.094  0.3940  0.19
Zak 1937   51  0.6235  0.0046  0.0459  0.0424  0.2851  0.11
Zak 1951   48  0.6343  0.0042  0.0541  0.1120  0.3441  0.19
Random 1   90  -0.1689  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   89  -0.0890  0.0089  0.0289  0.0265  0.0388  0.02
Random 3   88  0.0052  0.0086  0.0287  0.0240  0.1271  0.05

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).