Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6527  0.0013  0.1412  0.506  0.5112  0.50
Anderszewski 2003   63  0.4558  0.0048  0.0745  0.0728  0.2450  0.13
Ashkenazy 1981   12  0.643  0.063  0.101  0.6610  0.506  0.57
Bacha 2000   76  0.3474  0.0079  0.0378  0.0366  0.0479  0.03
Badura 1965   53  0.4968  0.0056  0.0560  0.0521  0.3748  0.14
Barbosa 1983   56  0.4822  0.0150  0.0649  0.0639  0.2351  0.12
Biret 1990   44  0.5141  0.0068  0.0473  0.0474  0.0476  0.04
Blet 2003   22  0.6164  0.0030  0.0720  0.3118  0.4021  0.35
Block 1995   58  0.4761  0.0063  0.0469  0.0458  0.0475  0.04
Blumental 1952   60  0.4751  0.0033  0.0635  0.187  0.4629  0.29
Boshniakovich 1969   54  0.4983  0.0073  0.0383  0.0353  0.0483  0.03
Brailowsky 1960   70  0.4048  0.0080  0.0375  0.0345  0.0670  0.04
Bunin 1987   29  0.5837  0.0035  0.0729  0.2320  0.3630  0.29
Bunin 1987b   27  0.5825  0.0034  0.0728  0.2420  0.3726  0.30
Chiu 1999   49  0.5014  0.0126  0.0533  0.2118  0.4822  0.32
Cohen 1997   87  0.1652  0.0086  0.0288  0.0277  0.0388  0.02
Cortot 1951   65  0.4586  0.0072  0.0551  0.0546  0.0865  0.06
Csalog 1996   72  0.3735  0.0081  0.0468  0.0451  0.0667  0.05
Czerny 1949   6  0.6910  0.0210  0.077  0.5410  0.643  0.59
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   23  0.6026  0.0021  0.0718  0.3510  0.4917  0.41
Ezaki 2006   16  0.6243  0.0025  0.0622  0.3024  0.3024  0.30
Falvay 1989   30  0.5854  0.0051  0.0559  0.0533  0.1954  0.10
Farrell 1958   68  0.4362  0.0076  0.0472  0.0472  0.0380  0.03
Ferenczy 1958   69  0.4278  0.0071  0.0470  0.0440  0.1363  0.07
Fliere 1977   4  0.706  0.047  0.093  0.6112  0.565  0.58
Fou 1978   50  0.5019  0.0127  0.0737  0.1641  0.1742  0.16
Francois 1956   18  0.6269  0.0023  0.0724  0.2521  0.3527  0.30
Friedman 1923   84  0.2353  0.0055  0.0554  0.0510  0.4546  0.15
Friedman 1923b   83  0.2338  0.0054  0.0562  0.0512  0.4645  0.15
Friedman 1930   71  0.4032  0.0042  0.0641  0.1318  0.4736  0.25
Garcia 2007   79  0.2970  0.0075  0.0384  0.0331  0.2160  0.08
Garcia 2007b   82  0.2559  0.0077  0.0466  0.0436  0.2258  0.09
Gierzod 1998   57  0.4734  0.0046  0.0646  0.0635  0.1556  0.09
Gornostaeva 1994   19  0.6117  0.0122  0.0726  0.2534  0.2138  0.23
Groot 1988   7  0.6630  0.0016  0.0711  0.508  0.5013  0.50
Harasiewicz 1955   51  0.5046  0.0029  0.0623  0.2831  0.2435  0.26
Hatto 1993   74  0.369  0.0239  0.0639  0.1418  0.3340  0.21
Hatto 1997   75  0.3665  0.0049  0.0650  0.0643  0.0962  0.07
Horowitz 1949   26  0.5824  0.0017  0.0721  0.3011  0.4020  0.35
Indjic 1988   73  0.3731  0.0043  0.0643  0.1123  0.2841  0.18
Kapell 1951   5  0.7015  0.016  0.126  0.582  0.558  0.56
Kissin 1993   14  0.6323  0.0119  0.0715  0.4016  0.4316  0.41
Kushner 1989   3  0.7036  0.0011  0.109  0.527  0.607  0.56
Luisada 1991   34  0.5728  0.0028  0.0831  0.2218  0.3531  0.28
Lushtak 2004   66  0.4575  0.0065  0.0558  0.0557  0.0569  0.05
Malcuzynski 1961   2  0.7116  0.014  0.135  0.597  0.539  0.56
Magaloff 1978   37  0.5687  0.0045  0.0563  0.0565  0.0371  0.04
Magin 1975   42  0.537  0.0320  0.0730  0.2314  0.4025  0.30
Michalowski 1933   62  0.4555  0.0041  0.0640  0.1415  0.4237  0.24
Milkina 1970   46  0.5179  0.0062  0.0467  0.0463  0.0473  0.04
Mohovich 1999   36  0.5666  0.0052  0.0556  0.0537  0.1757  0.09
Moravec 1969   8  0.665  0.0414  0.1410  0.511  0.664  0.58
Morozova 2008   15  0.634  0.0412  0.148  0.534  0.5111  0.52
Neighaus 1950   39  0.5563  0.0032  0.0732  0.2244  0.1144  0.16
Niedzielski 1931   45  0.5113  0.0140  0.0542  0.1210  0.4239  0.22
Ohlsson 1999   31  0.5872  0.0044  0.0544  0.0931  0.2049  0.13
Osinska 1989   38  0.5539  0.0059  0.0552  0.0539  0.1259  0.08
Pachmann 1927   78  0.3173  0.0078  0.0382  0.0373  0.0381  0.03
Paderewski 1930   40  0.5484  0.0060  0.0557  0.0543  0.1161  0.07
Perlemuter 1992   33  0.5756  0.0031  0.0925  0.2513  0.4919  0.35
Pierdomenico 2008   47  0.5149  0.0066  0.0561  0.0534  0.1955  0.10
Poblocka 1999   13  0.6318  0.018  0.0914  0.4510  0.4414  0.44
Rabcewiczowa 1932   35  0.5640  0.0057  0.0555  0.0523  0.4047  0.14
Rachmaninoff 1923   21  0.612  0.172  0.214  0.612  0.682  0.64
Rangell 2001   52  0.5060  0.0070  0.0377  0.0352  0.0484  0.03
Richter 1976   28  0.5821  0.0136  0.0727  0.2412  0.3923  0.31
Rosen 1989   41  0.5311  0.0224  0.0634  0.1921  0.3733  0.27
Rosenthal 1930   43  0.5244  0.0058  0.0648  0.0623  0.4443  0.16
Rosenthal 1931   81  0.2580  0.0083  0.0379  0.0361  0.0382  0.03
Rosenthal 1931b   86  0.2281  0.0085  0.0380  0.0380  0.0385  0.03
Rosenthal 1931c   67  0.4442  0.0069  0.0376  0.0345  0.0677  0.04
Rosenthal 1931d   80  0.2847  0.0084  0.0385  0.0380  0.0289  0.02
Rossi 2007   77  0.3288  0.0082  0.0474  0.0426  0.2653  0.10
Rubinstein 1939   85  0.2345  0.0087  0.0286  0.0271  0.0386  0.02
Rubinstein 1952   64  0.4576  0.0074  0.0381  0.0355  0.0678  0.04
Rubinstein 1966   48  0.5057  0.0067  0.0464  0.0442  0.1064  0.06
Schilhawsky 1960   55  0.4877  0.0053  0.0553  0.0529  0.2752  0.12
Shebanova 2002   17  0.628  0.0315  0.0716  0.4011  0.4915  0.44
Smith 1975   32  0.5789  0.0047  0.0647  0.0653  0.0466  0.05
Sokolov 2002   11  0.6412  0.0218  0.0717  0.3622  0.3718  0.36
Sztompka 1959   1  0.741  0.361  0.362  0.651  0.691  0.67
Tomsic 1995   20  0.6150  0.009  0.1019  0.3123  0.2828  0.29
Uninsky 1932   10  0.6533  0.005  0.1313  0.493  0.5810  0.53
Uninsky 1971   24  0.5971  0.0038  0.0836  0.1724  0.4134  0.26
Wasowski 1980   25  0.5920  0.0137  0.0738  0.167  0.4532  0.27
Zak 1937   59  0.4785  0.0064  0.0471  0.0464  0.0472  0.04
Zak 1951   61  0.4682  0.0061  0.0465  0.0455  0.0574  0.04
Random 1   90  -0.0990  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   88  0.0267  0.0088  0.0287  0.0235  0.1568  0.05
Random 3   89  0.0229  0.0089  0.0289  0.0261  0.0387  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).