Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.2711  0.0138  0.1039  0.2753  0.0542  0.12
Anderszewski 2003   73  0.1438  0.0064  0.0467  0.0456  0.0565  0.04
Ashkenazy 1981   2  0.605  0.063  0.232  0.8812  0.793  0.83
Bacha 2000   63  0.1773  0.0065  0.0469  0.0475  0.0371  0.03
Badura 1965   58  0.2074  0.0057  0.0561  0.0569  0.0367  0.04
Barbosa 1983   38  0.3215  0.0142  0.0942  0.2153  0.0545  0.10
Biret 1990   62  0.1839  0.0079  0.0382  0.0377  0.0379  0.03
Blet 2003   29  0.3666  0.0035  0.1132  0.4341  0.2535  0.33
Block 1995   54  0.2455  0.0050  0.0946  0.0981  0.0360  0.05
Blumental 1952   28  0.3647  0.0026  0.1424  0.6012  0.5723  0.58
Boshniakovich 1969   60  0.1975  0.0063  0.0660  0.0672  0.0462  0.05
Brailowsky 1960   81  0.0641  0.0069  0.0373  0.0375  0.0472  0.03
Bunin 1987   27  0.3850  0.0029  0.1527  0.5720  0.4827  0.52
Bunin 1987b   26  0.3916  0.0028  0.1326  0.5820  0.4826  0.53
Chiu 1999   9  0.507  0.039  0.168  0.8012  0.678  0.73
Cohen 1997   66  0.1636  0.0071  0.0470  0.0466  0.0378  0.03
Cortot 1951   87  0.0067  0.0087  0.0287  0.0290  0.0190  0.01
Csalog 1996   52  0.2526  0.0053  0.0848  0.0854  0.0648  0.07
Czerny 1949   64  0.1756  0.0075  0.0378  0.0350  0.0759  0.05
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   16  0.4712  0.0122  0.1419  0.7010  0.5819  0.64
Ezaki 2006   78  0.1021  0.0073  0.0464  0.0475  0.0370  0.03
Falvay 1989   39  0.3168  0.0049  0.0849  0.0838  0.1741  0.12
Farrell 1958   51  0.2652  0.0054  0.0850  0.0848  0.0747  0.07
Ferenczy 1958   90  -0.1276  0.0090  0.0190  0.0185  0.0289  0.01
Fliere 1977   5  0.534  0.076  0.306  0.8320  0.657  0.73
Fou 1978   15  0.4831  0.0019  0.2015  0.745  0.6411  0.69
Francois 1956   77  0.1177  0.0080  0.0283  0.0276  0.0388  0.02
Friedman 1923   34  0.3440  0.0032  0.1231  0.4441  0.2833  0.35
Friedman 1923b   33  0.3443  0.0031  0.1430  0.4640  0.3331  0.39
Friedman 1930   25  0.3928  0.0024  0.1229  0.5136  0.3929  0.45
Garcia 2007   37  0.3258  0.0033  0.1133  0.3935  0.2934  0.34
Garcia 2007b   24  0.3951  0.0027  0.1334  0.3932  0.3432  0.36
Gierzod 1998   86  0.0078  0.0067  0.0375  0.0372  0.0377  0.03
Gornostaeva 1994   68  0.1559  0.0062  0.0563  0.0579  0.0369  0.04
Groot 1988   8  0.528  0.028  0.227  0.809  0.6012  0.69
Harasiewicz 1955   45  0.2848  0.0046  0.0755  0.0754  0.0654  0.06
Hatto 1993   12  0.4924  0.0011  0.1411  0.7711  0.6015  0.68
Hatto 1997   31  0.3579  0.0041  0.1336  0.3452  0.0638  0.14
Horowitz 1949   18  0.4649  0.0023  0.1820  0.6813  0.6716  0.67
Indjic 1988   14  0.4820  0.0015  0.1614  0.7516  0.5917  0.67
Kapell 1951   6  0.539  0.0210  0.199  0.794  0.669  0.72
Kissin 1993   10  0.5010  0.017  0.165  0.846  0.795  0.81
Kushner 1989   20  0.4537  0.0025  0.1223  0.6222  0.4525  0.53
Luisada 1991   17  0.4630  0.0014  0.1713  0.7512  0.6410  0.69
Lushtak 2004   72  0.1460  0.0078  0.0284  0.0282  0.0283  0.02
Malcuzynski 1961   43  0.3085  0.0045  0.0754  0.0754  0.0650  0.06
Magaloff 1978   65  0.1786  0.0055  0.0756  0.0779  0.0355  0.05
Magin 1975   30  0.3618  0.0021  0.1425  0.6021  0.5922  0.59
Michalowski 1933   50  0.2661  0.0047  0.0752  0.0767  0.0653  0.06
Milkina 1970   56  0.2162  0.0059  0.0562  0.0551  0.0657  0.05
Mohovich 1999   70  0.1469  0.0066  0.0468  0.0467  0.0468  0.04
Moravec 1969   19  0.4523  0.0017  0.1421  0.6510  0.5620  0.60
Morozova 2008   22  0.4422  0.0012  0.1412  0.768  0.6114  0.68
Neighaus 1950   55  0.2180  0.0061  0.0751  0.0773  0.0463  0.05
Niedzielski 1931   23  0.4325  0.0013  0.1416  0.739  0.6313  0.68
Ohlsson 1999   41  0.3063  0.0039  0.0940  0.2556  0.0543  0.11
Osinska 1989   83  0.0381  0.0085  0.0285  0.0287  0.0281  0.02
Pachmann 1927   59  0.1964  0.0056  0.0659  0.0657  0.0652  0.06
Paderewski 1930   46  0.2870  0.0048  0.0753  0.0758  0.0651  0.06
Perlemuter 1992   32  0.3434  0.0030  0.1328  0.5132  0.4728  0.49
Pierdomenico 2008   42  0.3045  0.0044  0.0744  0.1440  0.1637  0.15
Poblocka 1999   21  0.4513  0.0116  0.2018  0.706  0.6318  0.66
Rabcewiczowa 1932   61  0.1832  0.0072  0.0466  0.0451  0.0756  0.05
Rachmaninoff 1923   7  0.533  0.164  0.2910  0.784  0.796  0.78
Rangell 2001   47  0.2727  0.0052  0.0945  0.0960  0.0549  0.07
Richter 1976   4  0.556  0.065  0.294  0.865  0.821  0.84
Rosen 1989   53  0.2553  0.0051  0.0947  0.0977  0.0361  0.05
Rosenthal 1930   35  0.3329  0.0036  0.0935  0.3626  0.4330  0.39
Rosenthal 1931   82  0.0571  0.0077  0.0376  0.0375  0.0376  0.03
Rosenthal 1931b   84  0.0287  0.0083  0.0374  0.0384  0.0286  0.02
Rosenthal 1931c   71  0.1472  0.0070  0.0371  0.0377  0.0287  0.02
Rosenthal 1931d   79  0.0746  0.0074  0.0465  0.0475  0.0380  0.03
Rossi 2007   88  -0.0588  0.0086  0.0286  0.0276  0.0382  0.02
Rubinstein 1939   48  0.2717  0.0034  0.0941  0.2429  0.2036  0.22
Rubinstein 1952   44  0.2954  0.0043  0.0943  0.1744  0.1040  0.13
Rubinstein 1966   36  0.3365  0.0040  0.1037  0.3358  0.0539  0.13
Schilhawsky 1960   67  0.1544  0.0068  0.0377  0.0359  0.0566  0.04
Shebanova 2002   3  0.582  0.172  0.251  0.8910  0.764  0.82
Smith 1975   76  0.1189  0.0082  0.0379  0.0374  0.0373  0.03
Sokolov 2002   69  0.1457  0.0060  0.0657  0.0671  0.0364  0.04
Sztompka 1959   1  0.621  0.311  0.313  0.872  0.812  0.84
Tomsic 1995   40  0.3142  0.0037  0.0838  0.2763  0.0444  0.10
Uninsky 1932   13  0.4919  0.0018  0.1717  0.7317  0.4921  0.60
Uninsky 1971   57  0.2033  0.0058  0.0658  0.0672  0.0458  0.05
Wasowski 1980   11  0.5014  0.0120  0.1922  0.6428  0.4824  0.55
Zak 1937   74  0.1290  0.0081  0.0372  0.0382  0.0374  0.03
Zak 1951   80  0.0782  0.0084  0.0380  0.0385  0.0375  0.03
Random 1   89  -0.0583  0.0088  0.0288  0.0276  0.0384  0.02
Random 2   75  0.1184  0.0076  0.0381  0.0321  0.3546  0.10
Random 3   85  0.0135  0.0089  0.0189  0.0159  0.0385  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).