Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7817  0.014  0.255  0.592  0.544  0.56
Anderszewski 2003   63  0.4615  0.0129  0.0640  0.1633  0.1939  0.17
Ashkenazy 1981   57  0.5244  0.0042  0.0542  0.1051  0.0456  0.06
Bacha 2000   79  0.2867  0.0086  0.0373  0.0372  0.0370  0.03
Badura 1965   34  0.6177  0.0041  0.0641  0.1323  0.3236  0.20
Barbosa 1983   46  0.5771  0.0056  0.0747  0.0744  0.1845  0.11
Biret 1990   24  0.6625  0.0035  0.0733  0.2433  0.1935  0.21
Blet 2003   21  0.6678  0.0030  0.0624  0.3224  0.3227  0.32
Block 1995   71  0.3823  0.0070  0.0369  0.0357  0.0482  0.03
Blumental 1952   56  0.529  0.0214  0.1029  0.266  0.4125  0.33
Boshniakovich 1969   52  0.5355  0.0074  0.0465  0.0462  0.0469  0.04
Brailowsky 1960   67  0.4049  0.0080  0.0379  0.0377  0.0471  0.03
Bunin 1987   28  0.6537  0.0032  0.0625  0.3125  0.3428  0.32
Bunin 1987b   27  0.6548  0.0033  0.0926  0.3125  0.3426  0.32
Chiu 1999   68  0.4079  0.0072  0.0376  0.0370  0.0472  0.03
Cohen 1997   88  0.0873  0.0088  0.0284  0.0276  0.0385  0.02
Cortot 1951   15  0.7054  0.0012  0.1414  0.434  0.5312  0.48
Csalog 1996   76  0.3474  0.0085  0.0381  0.0363  0.0380  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.891  0.471  0.461  0.741  0.691  0.71
Duchoud 2007   37  0.6032  0.0043  0.0543  0.1037  0.1942  0.14
Ezaki 2006   8  0.7524  0.0010  0.1013  0.4713  0.4114  0.44
Falvay 1989   35  0.6121  0.0053  0.0555  0.0543  0.0952  0.07
Farrell 1958   53  0.5351  0.0057  0.0746  0.0756  0.0457  0.05
Ferenczy 1958   33  0.6153  0.0028  0.0738  0.1918  0.4033  0.28
Fliere 1977   23  0.6690  0.0050  0.0648  0.0673  0.0362  0.04
Fou 1978   73  0.3631  0.0075  0.0560  0.0573  0.0466  0.04
Francois 1956   2  0.832  0.092  0.232  0.681  0.682  0.68
Friedman 1923   83  0.2283  0.0039  0.0937  0.198  0.4631  0.30
Friedman 1923b   82  0.2380  0.0038  0.0835  0.208  0.4530  0.30
Friedman 1930   55  0.5245  0.0023  0.0719  0.394  0.4915  0.44
Garcia 2007   81  0.2364  0.0078  0.0380  0.0378  0.0381  0.03
Garcia 2007b   87  0.1281  0.0081  0.0283  0.0274  0.0390  0.02
Gierzod 1998   14  0.706  0.038  0.1010  0.524  0.4411  0.48
Gornostaeva 1994   11  0.734  0.0317  0.1121  0.3712  0.3921  0.38
Groot 1988   31  0.6336  0.0048  0.0556  0.0543  0.1154  0.07
Harasiewicz 1955   48  0.5563  0.0040  0.0836  0.2043  0.1043  0.14
Hatto 1993   85  0.1987  0.0068  0.0375  0.0375  0.0288  0.02
Hatto 1997   77  0.3041  0.0058  0.0652  0.0649  0.0460  0.05
Horowitz 1949   51  0.5314  0.0147  0.0557  0.0539  0.1350  0.08
Indjic 1988   84  0.2288  0.0067  0.0378  0.0369  0.0378  0.03
Kapell 1951   9  0.748  0.035  0.187  0.546  0.536  0.53
Kissin 1993   59  0.4952  0.0064  0.0377  0.0363  0.0477  0.03
Kushner 1989   19  0.6850  0.0025  0.0728  0.2724  0.3232  0.29
Luisada 1991   62  0.4756  0.0066  0.0368  0.0350  0.0561  0.04
Lushtak 2004   49  0.5584  0.0034  0.0830  0.2651  0.0546  0.11
Malcuzynski 1961   12  0.717  0.0313  0.126  0.5711  0.468  0.51
Magaloff 1978   50  0.5329  0.0061  0.0463  0.0457  0.0463  0.04
Magin 1975   72  0.3757  0.0069  0.0374  0.0348  0.0565  0.04
Michalowski 1933   54  0.5319  0.0121  0.1020  0.386  0.4716  0.42
Milkina 1970   65  0.4520  0.0144  0.0545  0.0948  0.0653  0.07
Mohovich 1999   20  0.6634  0.0037  0.0731  0.2531  0.1637  0.20
Moravec 1969   16  0.7018  0.0119  0.1015  0.422  0.589  0.49
Morozova 2008   30  0.6360  0.0022  0.0827  0.319  0.3129  0.31
Neighaus 1950   26  0.6512  0.0218  0.1016  0.4223  0.3422  0.38
Niedzielski 1931   58  0.5227  0.0060  0.0558  0.0557  0.0464  0.04
Ohlsson 1999   38  0.6047  0.0054  0.0461  0.0450  0.0659  0.05
Osinska 1989   4  0.7916  0.019  0.0911  0.514  0.555  0.53
Pachmann 1927   80  0.2558  0.0084  0.0288  0.0262  0.0476  0.03
Paderewski 1930   39  0.5913  0.0155  0.0654  0.0635  0.1448  0.09
Perlemuter 1992   36  0.6082  0.0051  0.0651  0.0643  0.1049  0.08
Pierdomenico 2008   43  0.5876  0.0062  0.0372  0.0354  0.0473  0.03
Poblocka 1999   32  0.6170  0.0036  0.0734  0.2036  0.1738  0.18
Rabcewiczowa 1932   3  0.805  0.037  0.154  0.591  0.653  0.62
Rachmaninoff 1923   29  0.6435  0.0027  0.0722  0.379  0.4019  0.38
Rangell 2001   70  0.3843  0.0082  0.0286  0.0271  0.0386  0.02
Richter 1976   66  0.4366  0.0071  0.0367  0.0377  0.0375  0.03
Rosen 1989   40  0.5830  0.0026  0.0839  0.1924  0.3634  0.26
Rosenthal 1930   22  0.6646  0.0031  0.0632  0.244  0.5623  0.37
Rosenthal 1931   74  0.3575  0.0076  0.0462  0.0469  0.0379  0.03
Rosenthal 1931b   78  0.3062  0.0077  0.0371  0.0369  0.0383  0.03
Rosenthal 1931c   41  0.5861  0.0049  0.0650  0.0619  0.3640  0.15
Rosenthal 1931d   75  0.3428  0.0079  0.0282  0.0267  0.0387  0.02
Rossi 2007   64  0.4672  0.0065  0.0370  0.0326  0.1751  0.07
Rubinstein 1939   86  0.1840  0.0089  0.0290  0.0267  0.0474  0.03
Rubinstein 1952   69  0.4068  0.0083  0.0287  0.0280  0.0389  0.02
Rubinstein 1966   60  0.4759  0.0063  0.0464  0.0451  0.0567  0.04
Schilhawsky 1960   25  0.6526  0.0024  0.0723  0.3620  0.3424  0.35
Shebanova 2002   61  0.4791  0.0073  0.0366  0.0352  0.0668  0.04
Smith 1975   10  0.7442  0.0015  0.0912  0.4914  0.3020  0.38
Sokolov 2002   13  0.7110  0.0216  0.108  0.539  0.4610  0.49
Sztompka 1959   5  0.783  0.063  0.219  0.525  0.537  0.52
Tomsic 1995   44  0.5739  0.0052  0.0649  0.0662  0.0458  0.05
Uninsky 1932   18  0.6938  0.0011  0.1018  0.4016  0.4318  0.41
Uninsky 1971   17  0.6933  0.0020  0.1017  0.4016  0.4317  0.41
Wasowski 1980   47  0.5665  0.0059  0.0653  0.0624  0.2444  0.12
Zak 1937   45  0.5785  0.0046  0.0559  0.0538  0.1747  0.09
Zak 1951   42  0.5889  0.0045  0.0544  0.0935  0.2141  0.14
Average   7  0.7711  0.026  0.133  0.6519  0.3313  0.46
Random 1   91  -0.2586  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   90  -0.0622  0.0090  0.0289  0.0265  0.0384  0.02
Random 3   89  -0.0469  0.0087  0.0285  0.0230  0.2055  0.06

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).